�ݺ�ߣshows by User: NusratGulbarga1

�ݺ�ߣshows by User: NusratGulbarga1 / http://www.slideshare.net/images/logo.gif �ݺ�ߣshows by User: NusratGulbarga1 / Tue, 29 Aug 2023 14:18:12 GMT �ݺ�ߣShare feed for �ݺ�ߣshows by User: NusratGulbarga1 NMR .pdf /slideshow/nmr-pdf/260296104 nmr-230829141812-104e40dd
Nuclear magnetic resonance spectroscopy, most commonly known as NMR spectroscopy or magnetic resonance spectroscopy (MRS), is a spectroscopic technique to observe local magnetic fields around atomic nuclei.]]>
Nuclear magnetic resonance spectroscopy, most commonly known as NMR spectroscopy or magnetic resonance spectroscopy (MRS), is a spectroscopic technique to observe local magnetic fields around atomic nuclei.]]> Tue, 29 Aug 2023 14:18:12 GMT /slideshow/nmr-pdf/260296104 NusratGulbarga1@slideshare.net(NusratGulbarga1) NMR .pdf NusratGulbarga1 Nuclear magnetic resonance spectroscopy, most commonly known as NMR spectroscopy or magnetic resonance spectroscopy (MRS), is a spectroscopic technique to observe local magnetic fields around atomic nuclei. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/nmr-230829141812-104e40dd-thumbnail.jpg?width=120&height=120&fit=bounds" /> Nuclear magnetic resonance spectroscopy, most commonly known as NMR spectroscopy or magnetic resonance spectroscopy (MRS), is a spectroscopic technique to observe local magnetic fields around atomic nuclei.

NMR .pdf from Nusrat Gulbarga

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0 multiomics-ebook.pdf /slideshow/multiomicsebookpdf/260294445 multiomics-ebook-230829133510-d172b620
Genomics is the study of an organism's entire genome, which is the complete set of genetic material present in its DNA. This includes all the genes, non-coding regions, and regulatory sequences. Genomics involves sequencing and analyzing the DNA to identify genes, variations (such as single nucleotide polymorphisms or SNPs), and other structural features of the genome.]]>
Genomics is the study of an organism's entire genome, which is the complete set of genetic material present in its DNA. This includes all the genes, non-coding regions, and regulatory sequences. Genomics involves sequencing and analyzing the DNA to identify genes, variations (such as single nucleotide polymorphisms or SNPs), and other structural features of the genome.]]> Tue, 29 Aug 2023 13:35:10 GMT /slideshow/multiomicsebookpdf/260294445 NusratGulbarga1@slideshare.net(NusratGulbarga1) multiomics-ebook.pdf NusratGulbarga1 Genomics is the study of an organism's entire genome, which is the complete set of genetic material present in its DNA. This includes all the genes, non-coding regions, and regulatory sequences. Genomics involves sequencing and analyzing the DNA to identify genes, variations (such as single nucleotide polymorphisms or SNPs), and other structural features of the genome. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/multiomics-ebook-230829133510-d172b620-thumbnail.jpg?width=120&height=120&fit=bounds" /> Genomics is the study of an organism's entire genome, which is the complete set of genetic material present in its DNA. This includes all the genes, non-coding regions, and regulatory sequences. Genomics involves sequencing and analyzing the DNA to identify genes, variations (such as single nucleotide polymorphisms or SNPs), and other structural features of the genome.

multiomics-ebook.pdf from Nusrat Gulbarga

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0 How Genomics & Data analysis are intertwined each other (1).pdf /slideshow/how-genomics-data-analysis-are-intertwined-each-other-1pdf/256319857 howgenomicsdataanalysisareintertwinedeachother1-230309134859-921c1903
Genomics and data analysis are closely linked because genomics generates vast amounts of data, which requires sophisticated computational and analytical tools to process and interpret. Genomics involves sequencing, assembling, and annotating the genome, which produces large datasets that require bioinformatics and computational analysis. Data analysis techniques such as machine learning, statistical analysis, and data visualization are critical for interpreting genomic data, identifying patterns, and making meaningful conclusions. In turn, genomic data analysis helps to advance our understanding of genetics, biology, and disease, leading to new discoveries and advances in medicine, agriculture, and other fields. Without data analysis, genomic research would be limited in its ability to extract insights from the vast amounts of genomic data that are generated. Genomics and data analysis are intertwined because genomics generates vast amounts of data that require advanced computational and statistical methods to interpret and analyze. Genomics is the study of an organism's entire genetic makeup, including DNA sequences, gene expression patterns, and epigenetic modifications. With the advent of high-throughput sequencing technologies, genomics has generated an enormous amount of data that requires sophisticated computational tools to analyze and interpret. Data analysis plays a crucial role in genomics because it helps to identify genetic variations and their functional significance, understand gene expression patterns, and predict the effects of genetic modifications. Sophisticated statistical methods and machine learning algorithms are used to analyze genomic data and identify patterns, associations, and correlations. Data analysis also plays a critical role in personalized medicine, where genomic data is used to identify individualized treatments for patients based on their genetic makeup. Overall, genomics and data analysis are intertwined because they complement each other and are both essential for understanding the complexities of the genetic code and its effects on health and disease. Genomics and data analysis are intertwined because genomics is the study of the entire genetic material of an organism, and data analysis is necessary to interpret and make sense of the vast amount of genomic data generated. Genomics involves sequencing, assembling, and analyzing DNA, RNA, and protein sequences. The resulting data are massive, complex, and require advanced computational tools and techniques to be analyzed effectively. Data analysis helps to identify genes, regulatory elements, and mutations that are responsible for specific traits or diseases. It also helps to compare genomic sequences across different species and populations. Without data analysis, it would be impossible to extract useful information from the vast amount of genomic data produced by sequencing technologies. ]]>
Genomics and data analysis are closely linked because genomics generates vast amounts of data, which requires sophisticated computational and analytical tools to process and interpret. Genomics involves sequencing, assembling, and annotating the genome, which produces large datasets that require bioinformatics and computational analysis. Data analysis techniques such as machine learning, statistical analysis, and data visualization are critical for interpreting genomic data, identifying patterns, and making meaningful conclusions. In turn, genomic data analysis helps to advance our understanding of genetics, biology, and disease, leading to new discoveries and advances in medicine, agriculture, and other fields. Without data analysis, genomic research would be limited in its ability to extract insights from the vast amounts of genomic data that are generated. Genomics and data analysis are intertwined because genomics generates vast amounts of data that require advanced computational and statistical methods to interpret and analyze. Genomics is the study of an organism's entire genetic makeup, including DNA sequences, gene expression patterns, and epigenetic modifications. With the advent of high-throughput sequencing technologies, genomics has generated an enormous amount of data that requires sophisticated computational tools to analyze and interpret. Data analysis plays a crucial role in genomics because it helps to identify genetic variations and their functional significance, understand gene expression patterns, and predict the effects of genetic modifications. Sophisticated statistical methods and machine learning algorithms are used to analyze genomic data and identify patterns, associations, and correlations. Data analysis also plays a critical role in personalized medicine, where genomic data is used to identify individualized treatments for patients based on their genetic makeup. Overall, genomics and data analysis are intertwined because they complement each other and are both essential for understanding the complexities of the genetic code and its effects on health and disease. Genomics and data analysis are intertwined because genomics is the study of the entire genetic material of an organism, and data analysis is necessary to interpret and make sense of the vast amount of genomic data generated. Genomics involves sequencing, assembling, and analyzing DNA, RNA, and protein sequences. The resulting data are massive, complex, and require advanced computational tools and techniques to be analyzed effectively. Data analysis helps to identify genes, regulatory elements, and mutations that are responsible for specific traits or diseases. It also helps to compare genomic sequences across different species and populations. Without data analysis, it would be impossible to extract useful information from the vast amount of genomic data produced by sequencing technologies. ]]> Thu, 09 Mar 2023 13:48:59 GMT /slideshow/how-genomics-data-analysis-are-intertwined-each-other-1pdf/256319857 NusratGulbarga1@slideshare.net(NusratGulbarga1) How Genomics & Data analysis are intertwined each other (1).pdf NusratGulbarga1 Genomics and data analysis are closely linked because genomics generates vast amounts of data, which requires sophisticated computational and analytical tools to process and interpret. Genomics involves sequencing, assembling, and annotating the genome, which produces large datasets that require bioinformatics and computational analysis. Data analysis techniques such as machine learning, statistical analysis, and data visualization are critical for interpreting genomic data, identifying patterns, and making meaningful conclusions. In turn, genomic data analysis helps to advance our understanding of genetics, biology, and disease, leading to new discoveries and advances in medicine, agriculture, and other fields. Without data analysis, genomic research would be limited in its ability to extract insights from the vast amounts of genomic data that are generated. Genomics and data analysis are intertwined because genomics generates vast amounts of data that require advanced computational and statistical methods to interpret and analyze. Genomics is the study of an organism's entire genetic makeup, including DNA sequences, gene expression patterns, and epigenetic modifications. With the advent of high-throughput sequencing technologies, genomics has generated an enormous amount of data that requires sophisticated computational tools to analyze and interpret. Data analysis plays a crucial role in genomics because it helps to identify genetic variations and their functional significance, understand gene expression patterns, and predict the effects of genetic modifications. Sophisticated statistical methods and machine learning algorithms are used to analyze genomic data and identify patterns, associations, and correlations. Data analysis also plays a critical role in personalized medicine, where genomic data is used to identify individualized treatments for patients based on their genetic makeup. Overall, genomics and data analysis are intertwined because they complement each other and are both essential for understanding the complexities of the genetic code and its effects on health and disease. Genomics and data analysis are intertwined because genomics is the study of the entire genetic material of an organism, and data analysis is necessary to interpret and make sense of the vast amount of genomic data generated. Genomics involves sequencing, assembling, and analyzing DNA, RNA, and protein sequences. The resulting data are massive, complex, and require advanced computational tools and techniques to be analyzed effectively. Data analysis helps to identify genes, regulatory elements, and mutations that are responsible for specific traits or diseases. It also helps to compare genomic sequences across different species and populations. Without data analysis, it would be impossible to extract useful information from the vast amount of genomic data produced by sequencing technologies. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/howgenomicsdataanalysisareintertwinedeachother1-230309134859-921c1903-thumbnail.jpg?width=120&height=120&fit=bounds" /> Genomics and data analysis are closely linked because genomics generates vast amounts of data, which requires sophisticated computational and analytical tools to process and interpret. Genomics involves sequencing, assembling, and annotating the genome, which produces large datasets that require bioinformatics and computational analysis. Data analysis techniques such as machine learning, statistical analysis, and data visualization are critical for interpreting genomic data, identifying patterns, and making meaningful conclusions. In turn, genomic data analysis helps to advance our understanding of genetics, biology, and disease, leading to new discoveries and advances in medicine, agriculture, and other fields. Without data analysis, genomic research would be limited in its ability to extract insights from the vast amounts of genomic data that are generated. Genomics and data analysis are intertwined because genomics generates vast amounts of data that require advanced computational and statistical methods to interpret and analyze. Genomics is the study of an organism's entire genetic makeup, including DNA sequences, gene expression patterns, and epigenetic modifications. With the advent of high-throughput sequencing technologies, genomics has generated an enormous amount of data that requires sophisticated computational tools to analyze and interpret. Data analysis plays a crucial role in genomics because it helps to identify genetic variations and their functional significance, understand gene expression patterns, and predict the effects of genetic modifications. Sophisticated statistical methods and machine learning algorithms are used to analyze genomic data and identify patterns, associations, and correlations. Data analysis also plays a critical role in personalized medicine, where genomic data is used to identify individualized treatments for patients based on their genetic makeup. Overall, genomics and data analysis are intertwined because they complement each other and are both essential for understanding the complexities of the genetic code and its effects on health and disease. Genomics and data analysis are intertwined because genomics is the study of the entire genetic material of an organism, and data analysis is necessary to interpret and make sense of the vast amount of genomic data generated. Genomics involves sequencing, assembling, and analyzing DNA, RNA, and protein sequences. The resulting data are massive, complex, and require advanced computational tools and techniques to be analyzed effectively. Data analysis helps to identify genes, regulatory elements, and mutations that are responsible for specific traits or diseases. It also helps to compare genomic sequences across different species and populations. Without data analysis, it would be impossible to extract useful information from the vast amount of genomic data produced by sequencing technologies.

How Genomics & Data analysis are intertwined each other (1).pdf from Nusrat Gulbarga

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0 Newtons law of motion ~ II sem ~ m sc bioinformatics /slideshow/newtons-law-of-motion-ii-sem-m-sc-bioinformatics/248187725 newtonslawofmotioniisemmscbioinformatics-210510044444
In the first law, an object will not change its motion unless a force acts on it. In the second law, the force on an object is equal to its mass times its acceleration. In the third law, when two objects interact, they apply forces to each other of equal magnitude and opposite direction.]]>
In the first law, an object will not change its motion unless a force acts on it. In the second law, the force on an object is equal to its mass times its acceleration. In the third law, when two objects interact, they apply forces to each other of equal magnitude and opposite direction.]]> Mon, 10 May 2021 04:44:44 GMT /slideshow/newtons-law-of-motion-ii-sem-m-sc-bioinformatics/248187725 NusratGulbarga1@slideshare.net(NusratGulbarga1) Newtons law of motion ~ II sem ~ m sc bioinformatics NusratGulbarga1 In the first law, an object will not change its motion unless a force acts on it. In the second law, the force on an object is equal to its mass times its acceleration. In the third law, when two objects interact, they apply forces to each other of equal magnitude and opposite direction. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/newtonslawofmotioniisemmscbioinformatics-210510044444-thumbnail.jpg?width=120&height=120&fit=bounds" /> In the first law, an object will not change its motion unless a force acts on it. In the second law, the force on an object is equal to its mass times its acceleration. In the third law, when two objects interact, they apply forces to each other of equal magnitude and opposite direction.

Newtons law of motion ~ II sem ~ m sc bioinformatics from Nusrat Gulbarga

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0 Chemo-informatics sem 4 MSc Bioinformatics /slideshow/chemoinformatics-sem-4-msc-bioinformatics/248187717 chemo-informaticssem4mscbioinformatics-210510044442
Cheminformatics (sometimes referred to as chemical informatics or chemoinformatics) focuses on storing, indexing, searching, retrieving, and applying information about chemical compounds. ... Virtual libraries can contain information on likely synthesis methods and predicted stability of the reaction products.]]>
Cheminformatics (sometimes referred to as chemical informatics or chemoinformatics) focuses on storing, indexing, searching, retrieving, and applying information about chemical compounds. ... Virtual libraries can contain information on likely synthesis methods and predicted stability of the reaction products.]]> Mon, 10 May 2021 04:44:41 GMT /slideshow/chemoinformatics-sem-4-msc-bioinformatics/248187717 NusratGulbarga1@slideshare.net(NusratGulbarga1) Chemo-informatics sem 4 MSc Bioinformatics NusratGulbarga1 Cheminformatics (sometimes referred to as chemical informatics or chemoinformatics) focuses on storing, indexing, searching, retrieving, and applying information about chemical compounds. ... Virtual libraries can contain information on likely synthesis methods and predicted stability of the reaction products. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/chemo-informaticssem4mscbioinformatics-210510044442-thumbnail.jpg?width=120&height=120&fit=bounds" /> Cheminformatics (sometimes referred to as chemical informatics or chemoinformatics) focuses on storing, indexing, searching, retrieving, and applying information about chemical compounds. ... Virtual libraries can contain information on likely synthesis methods and predicted stability of the reaction products.

Chemo-informatics sem 4 MSc Bioinformatics from Nusrat Gulbarga

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0 Genomes, omics and its importance, general features III semester /slideshow/genomes-omics-and-its-importance-general-features-iii-semester/248187705 genomesomicsanditsimportancegeneralfeatures-iiisemester-210510044438
'Omic' technologies are primarily aimed at the universal detection of genes (genomics), mRNA (transcriptomics), proteins (proteomics) and metabolites (metabolomics) in a specific biological sample. ... Mass spectrometry is the most common method used for the detection of analytes in proteomic and metabolomic research.]]>
'Omic' technologies are primarily aimed at the universal detection of genes (genomics), mRNA (transcriptomics), proteins (proteomics) and metabolites (metabolomics) in a specific biological sample. ... Mass spectrometry is the most common method used for the detection of analytes in proteomic and metabolomic research.]]> Mon, 10 May 2021 04:44:38 GMT /slideshow/genomes-omics-and-its-importance-general-features-iii-semester/248187705 NusratGulbarga1@slideshare.net(NusratGulbarga1) Genomes, omics and its importance, general features III semester NusratGulbarga1 'Omic' technologies are primarily aimed at the universal detection of genes (genomics), mRNA (transcriptomics), proteins (proteomics) and metabolites (metabolomics) in a specific biological sample. ... Mass spectrometry is the most common method used for the detection of analytes in proteomic and metabolomic research. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/genomesomicsanditsimportancegeneralfeatures-iiisemester-210510044438-thumbnail.jpg?width=120&height=120&fit=bounds" /> 'Omic' technologies are primarily aimed at the universal detection of genes (genomics), mRNA (transcriptomics), proteins (proteomics) and metabolites (metabolomics) in a specific biological sample. ... Mass spectrometry is the most common method used for the detection of analytes in proteomic and metabolomic research.

Genomes, omics and its importance, general features III semester from Nusrat Gulbarga

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0 Architecture of prokaryotic and eukaryotic cells and tissues /slideshow/architecture-of-prokaryotic-and-eukaryotic-cells-and-tissues/248101457 architectureofprokaryoticandeukaryoticcellsandtissues-210508091514
The cells of all prokaryotes and eukaryotes possess two basic features: a plasma membrane, also called a cell membrane, and cytoplasm. However, the cells of prokaryotes are simpler than those of eukaryotes. For example, prokaryotic cells lack a nucleus, while eukaryotic cells have a nucleus]]>
The cells of all prokaryotes and eukaryotes possess two basic features: a plasma membrane, also called a cell membrane, and cytoplasm. However, the cells of prokaryotes are simpler than those of eukaryotes. For example, prokaryotic cells lack a nucleus, while eukaryotic cells have a nucleus]]> Sat, 08 May 2021 09:15:14 GMT /slideshow/architecture-of-prokaryotic-and-eukaryotic-cells-and-tissues/248101457 NusratGulbarga1@slideshare.net(NusratGulbarga1) Architecture of prokaryotic and eukaryotic cells and tissues NusratGulbarga1 The cells of all prokaryotes and eukaryotes possess two basic features: a plasma membrane, also called a cell membrane, and cytoplasm. However, the cells of prokaryotes are simpler than those of eukaryotes. For example, prokaryotic cells lack a nucleus, while eukaryotic cells have a nucleus <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/architectureofprokaryoticandeukaryoticcellsandtissues-210508091514-thumbnail.jpg?width=120&height=120&fit=bounds" /> The cells of all prokaryotes and eukaryotes possess two basic features: a plasma membrane, also called a cell membrane, and cytoplasm. However, the cells of prokaryotes are simpler than those of eukaryotes. For example, prokaryotic cells lack a nucleus, while eukaryotic cells have a nucleus

Architecture of prokaryotic and eukaryotic cells and tissues from Nusrat Gulbarga

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0 Proteomics 123 /NusratGulbarga1/proteomics-123 proteomics123-210429122449
Proteomics is the large-scale study of proteins. Proteins are vital parts of living organisms, with many functions. The proteome is the entire set of proteins that is produced or modified by an organism or system. Proteomics has enabled the identification of ever increasing numbers of protein.]]>
Proteomics is the large-scale study of proteins. Proteins are vital parts of living organisms, with many functions. The proteome is the entire set of proteins that is produced or modified by an organism or system. Proteomics has enabled the identification of ever increasing numbers of protein.]]> Thu, 29 Apr 2021 12:24:49 GMT /NusratGulbarga1/proteomics-123 NusratGulbarga1@slideshare.net(NusratGulbarga1) Proteomics 123 NusratGulbarga1 Proteomics is the large-scale study of proteins. Proteins are vital parts of living organisms, with many functions. The proteome is the entire set of proteins that is produced or modified by an organism or system. Proteomics has enabled the identification of ever increasing numbers of protein. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/proteomics123-210429122449-thumbnail.jpg?width=120&height=120&fit=bounds" /> Proteomics is the large-scale study of proteins. Proteins are vital parts of living organisms, with many functions. The proteome is the entire set of proteins that is produced or modified by an organism or system. Proteomics has enabled the identification of ever increasing numbers of protein.

Proteomics 123 from Nusrat Gulbarga

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0 Water the unusual properties of water /slideshow/water-the-unusual-properties-of-water/247336546 water-theunusualpropertiesofwater-210429120645
water the unusual properties.....]]>
water the unusual properties.....]]> Thu, 29 Apr 2021 12:06:44 GMT /slideshow/water-the-unusual-properties-of-water/247336546 NusratGulbarga1@slideshare.net(NusratGulbarga1) Water the unusual properties of water NusratGulbarga1 water the unusual properties..... <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/water-theunusualpropertiesofwater-210429120645-thumbnail.jpg?width=120&height=120&fit=bounds" /> water the unusual properties.....

Water the unusual properties of water from Nusrat Gulbarga

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0 JUST SAY CHEESE /slideshow/just-say-cheese-246292928/246292928 66-cheese-210415235921
Cheese is a dairy product, derived from milk and produced in wide ranges of flavors, textures and forms by coagulation of the milk protein casein. It comprises proteins and fat from milk, usually the milk of cows, buffalo, goats, or sheep.]]>
Cheese is a dairy product, derived from milk and produced in wide ranges of flavors, textures and forms by coagulation of the milk protein casein. It comprises proteins and fat from milk, usually the milk of cows, buffalo, goats, or sheep.]]> Thu, 15 Apr 2021 23:59:21 GMT /slideshow/just-say-cheese-246292928/246292928 NusratGulbarga1@slideshare.net(NusratGulbarga1) JUST SAY CHEESE NusratGulbarga1 Cheese is a dairy product, derived from milk and produced in wide ranges of flavors, textures and forms by coagulation of the milk protein casein. It comprises proteins and fat from milk, usually the milk of cows, buffalo, goats, or sheep. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/66-cheese-210415235921-thumbnail.jpg?width=120&height=120&fit=bounds" /> Cheese is a dairy product, derived from milk and produced in wide ranges of flavors, textures and forms by coagulation of the milk protein casein. It comprises proteins and fat from milk, usually the milk of cows, buffalo, goats, or sheep.

JUST SAY CHEESE from Nusrat Gulbarga

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0 Generation of computer /slideshow/generation-of-computer-242934104/242934104 generationofcomputer-210218025529
Generation in computer terminology is a change in technology a computer is/was being used. Initially, the generation term was used to distinguish between varying hardware technologies. Nowadays, generation includes both hardware and software, which together make up an entire computer system]]>
Generation in computer terminology is a change in technology a computer is/was being used. Initially, the generation term was used to distinguish between varying hardware technologies. Nowadays, generation includes both hardware and software, which together make up an entire computer system]]> Thu, 18 Feb 2021 02:55:29 GMT /slideshow/generation-of-computer-242934104/242934104 NusratGulbarga1@slideshare.net(NusratGulbarga1) Generation of computer NusratGulbarga1 Generation in computer terminology is a change in technology a computer is/was being used. Initially, the generation term was used to distinguish between varying hardware technologies. Nowadays, generation includes both hardware and software, which together make up an entire computer system <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/generationofcomputer-210218025529-thumbnail.jpg?width=120&height=120&fit=bounds" /> Generation in computer terminology is a change in technology a computer is/was being used. Initially, the generation term was used to distinguish between varying hardware technologies. Nowadays, generation includes both hardware and software, which together make up an entire computer system

Generation of computer from Nusrat Gulbarga

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0 Unit 1 cell biology /slideshow/unit-1-cell-biology/242226758 unit1cellbiology-210204012902
Cell biology is the study of cell structure and function, and it revolves around the concept that the cell is the fundamental unit of life. Focusing on the cell permits a detailed understanding of the tissues and organisms that cells compose.]]>
Cell biology is the study of cell structure and function, and it revolves around the concept that the cell is the fundamental unit of life. Focusing on the cell permits a detailed understanding of the tissues and organisms that cells compose.]]> Thu, 04 Feb 2021 01:29:02 GMT /slideshow/unit-1-cell-biology/242226758 NusratGulbarga1@slideshare.net(NusratGulbarga1) Unit 1 cell biology NusratGulbarga1 Cell biology is the study of cell structure and function, and it revolves around the concept that the cell is the fundamental unit of life. Focusing on the cell permits a detailed understanding of the tissues and organisms that cells compose. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/unit1cellbiology-210204012902-thumbnail.jpg?width=120&height=120&fit=bounds" /> Cell biology is the study of cell structure and function, and it revolves around the concept that the cell is the fundamental unit of life. Focusing on the cell permits a detailed understanding of the tissues and organisms that cells compose.

Unit 1 cell biology from Nusrat Gulbarga

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0 Mutation /slideshow/mutation-242074363/242074363 mutation-210201020949
In biology, a mutation is an alteration in the nucleotide sequence of the genome of an organism, virus, or extrachromosomal DNA. Viral genomes contain either DNA or RNA.]]>
In biology, a mutation is an alteration in the nucleotide sequence of the genome of an organism, virus, or extrachromosomal DNA. Viral genomes contain either DNA or RNA.]]> Mon, 01 Feb 2021 02:09:49 GMT /slideshow/mutation-242074363/242074363 NusratGulbarga1@slideshare.net(NusratGulbarga1) Mutation NusratGulbarga1 In biology, a mutation is an alteration in the nucleotide sequence of the genome of an organism, virus, or extrachromosomal DNA. Viral genomes contain either DNA or RNA. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/mutation-210201020949-thumbnail.jpg?width=120&height=120&fit=bounds" /> In biology, a mutation is an alteration in the nucleotide sequence of the genome of an organism, virus, or extrachromosomal DNA. Viral genomes contain either DNA or RNA.

Mutation from Nusrat Gulbarga

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0 Cell signaling /slideshow/cell-signaling-240494310/240494310 cellsignalingfinal-130304234744-phpapp02-201223134048
In biology, cell signaling or cell-cell communication, governs the basic activities of cells and coordinates multiple-cell actions. A signal is an entity that codes or conveys information. Biological processes are complex molecular interactions that involve a lot of signals.]]>
In biology, cell signaling or cell-cell communication, governs the basic activities of cells and coordinates multiple-cell actions. A signal is an entity that codes or conveys information. Biological processes are complex molecular interactions that involve a lot of signals.]]> Wed, 23 Dec 2020 13:40:48 GMT /slideshow/cell-signaling-240494310/240494310 NusratGulbarga1@slideshare.net(NusratGulbarga1) Cell signaling NusratGulbarga1 In biology, cell signaling or cell-cell communication, governs the basic activities of cells and coordinates multiple-cell actions. A signal is an entity that codes or conveys information. Biological processes are complex molecular interactions that involve a lot of signals. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/cellsignalingfinal-130304234744-phpapp02-201223134048-thumbnail.jpg?width=120&height=120&fit=bounds" /> In biology, cell signaling or cell-cell communication, governs the basic activities of cells and coordinates multiple-cell actions. A signal is an entity that codes or conveys information. Biological processes are complex molecular interactions that involve a lot of signals.

Cell signaling from Nusrat Gulbarga

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0 Necrosis /slideshow/necrosis-240103674/240103674 necrosis-201214155909
Necrosis is the death of body tissue. It occurs when too little blood flows to the tissue. This can be from injury, radiation, or chemicals. Necrosis cannot be reversed. When large areas of tissue die due to a lack of blood supply, the condition is called gangrene]]>
Necrosis is the death of body tissue. It occurs when too little blood flows to the tissue. This can be from injury, radiation, or chemicals. Necrosis cannot be reversed. When large areas of tissue die due to a lack of blood supply, the condition is called gangrene]]> Mon, 14 Dec 2020 15:59:09 GMT /slideshow/necrosis-240103674/240103674 NusratGulbarga1@slideshare.net(NusratGulbarga1) Necrosis NusratGulbarga1 Necrosis is the death of body tissue. It occurs when too little blood flows to the tissue. This can be from injury, radiation, or chemicals. Necrosis cannot be reversed. When large areas of tissue die due to a lack of blood supply, the condition is called gangrene <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/necrosis-201214155909-thumbnail.jpg?width=120&height=120&fit=bounds" /> Necrosis is the death of body tissue. It occurs when too little blood flows to the tissue. This can be from injury, radiation, or chemicals. Necrosis cannot be reversed. When large areas of tissue die due to a lack of blood supply, the condition is called gangrene

Necrosis from Nusrat Gulbarga

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0 Biophysics thermodynamics /slideshow/biophysics-thermodynamics/240050874 biophysics-thermodynamics-201212135800
Thermodynamics is the branch of physics that deals with the relationships between heat and other forms of energy. In particular, it describes how thermal energy is converted to and from other forms of energy and how it affects matter.]]>
Thermodynamics is the branch of physics that deals with the relationships between heat and other forms of energy. In particular, it describes how thermal energy is converted to and from other forms of energy and how it affects matter.]]> Sat, 12 Dec 2020 13:58:00 GMT /slideshow/biophysics-thermodynamics/240050874 NusratGulbarga1@slideshare.net(NusratGulbarga1) Biophysics thermodynamics NusratGulbarga1 Thermodynamics is the branch of physics that deals with the relationships between heat and other forms of energy. In particular, it describes how thermal energy is converted to and from other forms of energy and how it affects matter. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/biophysics-thermodynamics-201212135800-thumbnail.jpg?width=120&height=120&fit=bounds" /> Thermodynamics is the branch of physics that deals with the relationships between heat and other forms of energy. In particular, it describes how thermal energy is converted to and from other forms of energy and how it affects matter.

Biophysics thermodynamics from Nusrat Gulbarga

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0 Translation in Pro and Eu karyotes /slideshow/translation-in-pro-and-eu-karyotes/239809966 translation-201206141228
Translation is the process of translating the sequence of a messenger RNA (mRNA) molecule to a sequence of amino acids during protein synthesis. The genetic code describes the relationship between the sequence of base pairs in a gene and the corresponding amino acid sequence that it encodes.]]>
Translation is the process of translating the sequence of a messenger RNA (mRNA) molecule to a sequence of amino acids during protein synthesis. The genetic code describes the relationship between the sequence of base pairs in a gene and the corresponding amino acid sequence that it encodes.]]> Sun, 06 Dec 2020 14:12:28 GMT /slideshow/translation-in-pro-and-eu-karyotes/239809966 NusratGulbarga1@slideshare.net(NusratGulbarga1) Translation in Pro and Eu karyotes NusratGulbarga1 Translation is the process of translating the sequence of a messenger RNA (mRNA) molecule to a sequence of amino acids during protein synthesis. The genetic code describes the relationship between the sequence of base pairs in a gene and the corresponding amino acid sequence that it encodes. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/translation-201206141228-thumbnail.jpg?width=120&height=120&fit=bounds" /> Translation is the process of translating the sequence of a messenger RNA (mRNA) molecule to a sequence of amino acids during protein synthesis. The genetic code describes the relationship between the sequence of base pairs in a gene and the corresponding amino acid sequence that it encodes.

Translation in Pro and Eu karyotes from Nusrat Gulbarga

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0 DATABASE ADMINSTRATION /slideshow/database-adminstration/239720380 clgseminardba-201203103516
Database administration refers to the whole set of activities performed by a database administrator to ensure that a database is always available as needed. Other closely related tasks and roles are database security, database monitoring and troubleshooting, and planning for future growth]]>
Database administration refers to the whole set of activities performed by a database administrator to ensure that a database is always available as needed. Other closely related tasks and roles are database security, database monitoring and troubleshooting, and planning for future growth]]> Thu, 03 Dec 2020 10:35:15 GMT /slideshow/database-adminstration/239720380 NusratGulbarga1@slideshare.net(NusratGulbarga1) DATABASE ADMINSTRATION NusratGulbarga1 Database administration refers to the whole set of activities performed by a database administrator to ensure that a database is always available as needed. Other closely related tasks and roles are database security, database monitoring and troubleshooting, and planning for future growth <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/clgseminardba-201203103516-thumbnail.jpg?width=120&height=120&fit=bounds" /> Database administration refers to the whole set of activities performed by a database administrator to ensure that a database is always available as needed. Other closely related tasks and roles are database security, database monitoring and troubleshooting, and planning for future growth

DATABASE ADMINSTRATION from Nusrat Gulbarga

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0 123 pathology of_the_endocrine_system_i_final_ /slideshow/123-pathology-oftheendocrinesystemifinal/239719238 06-201203094323
These organs synthesize and secrete specific biochemical messengers, known as hormones, into the blood in a synchronized collaboration with the central nervous system (CNS) and the immune system to regulate metabolism, growth, development, and reproduction (Figure 15-1).]]>
These organs synthesize and secrete specific biochemical messengers, known as hormones, into the blood in a synchronized collaboration with the central nervous system (CNS) and the immune system to regulate metabolism, growth, development, and reproduction (Figure 15-1).]]> Thu, 03 Dec 2020 09:43:23 GMT /slideshow/123-pathology-oftheendocrinesystemifinal/239719238 NusratGulbarga1@slideshare.net(NusratGulbarga1) 123 pathology of_the_endocrine_system_i_final_ NusratGulbarga1 These organs synthesize and secrete specific biochemical messengers, known as hormones, into the blood in a synchronized collaboration with the central nervous system (CNS) and the immune system to regulate metabolism, growth, development, and reproduction (Figure 15-1). <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/06-201203094323-thumbnail.jpg?width=120&height=120&fit=bounds" /> These organs synthesize and secrete specific biochemical messengers, known as hormones, into the blood in a synchronized collaboration with the central nervous system (CNS) and the immune system to regulate metabolism, growth, development, and reproduction (Figure 15-1).

123 pathology of_the_endocrine_system_i_final_ from Nusrat Gulbarga

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0 Apoptosis /slideshow/apoptosis-239699562/239699562 apoptosis-201203015909
Apoptosis is an orderly process in which the cell's contents are packaged into small packets of membrane for “garbage collection” by immune cells. Apoptosis removes cells during development, eliminates potentially cancerous and virus-infected cells, and maintains balance in the body.]]>
Apoptosis is an orderly process in which the cell's contents are packaged into small packets of membrane for “garbage collection” by immune cells. Apoptosis removes cells during development, eliminates potentially cancerous and virus-infected cells, and maintains balance in the body.]]> Thu, 03 Dec 2020 01:59:09 GMT /slideshow/apoptosis-239699562/239699562 NusratGulbarga1@slideshare.net(NusratGulbarga1) Apoptosis NusratGulbarga1 Apoptosis is an orderly process in which the cell's contents are packaged into small packets of membrane for “garbage collection” by immune cells. Apoptosis removes cells during development, eliminates potentially cancerous and virus-infected cells, and maintains balance in the body. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/apoptosis-201203015909-thumbnail.jpg?width=120&height=120&fit=bounds" /> Apoptosis is an orderly process in which the cell's contents are packaged into small packets of membrane for “garbage collection” by immune cells. Apoptosis removes cells during development, eliminates potentially cancerous and virus-infected cells, and maintains balance in the body.

Apoptosis from Nusrat Gulbarga

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0 https://cdn.slidesharecdn.com/profile-photo-NusratGulbarga1-48x48.jpg?cb=1706923381 BOT is a skilled bioscience content creator with a passion for writing and a talent for making complex scientific concepts accessible to a broad audience. With a deep understanding of Bioinformatician/ Biotechnology/ Molecular Biology/ Cancer Biology/ Biophysics/ Biochemistry/ Pharmacology/ Data Analysis/ Data science, from gene editing to pharmaceutical development. We are dedicated to delivering high-quality content that informs, educates, and inspires audience. BOT is committed to stay up-to-date with the latest developments in the field and translating them into engaging content that resonates with readers and viewers. www.youtube.com/channel/UC2JR-QRKgVtTHwhZppUyr-w https://cdn.slidesharecdn.com/ss_thumbnails/nmr-230829141812-104e40dd-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/nmr-pdf/260296104 NMR .pdf https://cdn.slidesharecdn.com/ss_thumbnails/multiomics-ebook-230829133510-d172b620-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/multiomicsebookpdf/260294445 multiomics-ebook.pdf https://cdn.slidesharecdn.com/ss_thumbnails/howgenomicsdataanalysisareintertwinedeachother1-230309134859-921c1903-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/how-genomics-data-analysis-are-intertwined-each-other-1pdf/256319857 How Genomics & Data an...