�ݺ�ߣshows by User: GauravAggarwal109

�ݺ�ߣshows by User: GauravAggarwal109 / http://www.slideshare.net/images/logo.gif �ݺ�ߣshows by User: GauravAggarwal109 / Fri, 30 Jul 2021 16:38:09 GMT �ݺ�ߣShare feed for �ݺ�ߣshows by User: GauravAggarwal109 Optimal gene circuit design /GauravAggarwal109/optimal-gene-circuit-design optimalgenecircuitdesign-210730163809
Optimality theory Optimal expression level of a protein under constant conditions Cost of the LacZ Protein Mathematical description of cost function The Benefit of the LacZ Protein Fitness Function and the Optimal Expression Level Cells Reach Optimal LacZ Levels in a Few Hundred Generations in Laboratory Evolution Experiments Environmental selection of the feedforward loop network motif References ]]>
Optimality theory Optimal expression level of a protein under constant conditions Cost of the LacZ Protein Mathematical description of cost function The Benefit of the LacZ Protein Fitness Function and the Optimal Expression Level Cells Reach Optimal LacZ Levels in a Few Hundred Generations in Laboratory Evolution Experiments Environmental selection of the feedforward loop network motif References ]]> Fri, 30 Jul 2021 16:38:09 GMT /GauravAggarwal109/optimal-gene-circuit-design GauravAggarwal109@slideshare.net(GauravAggarwal109) Optimal gene circuit design GauravAggarwal109 Optimality theory Optimal expression level of a protein under constant conditions Cost of the LacZ Protein Mathematical description of cost function The Benefit of the LacZ Protein Fitness Function and the Optimal Expression Level Cells Reach Optimal LacZ Levels in a Few Hundred Generations in Laboratory Evolution Experiments Environmental selection of the feedforward loop network motif References <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/optimalgenecircuitdesign-210730163809-thumbnail.jpg?width=120&height=120&fit=bounds" /> Optimality theory Optimal expression level of a protein under constant conditions Cost of the LacZ Protein Mathematical description of cost function The Benefit of the LacZ Protein Fitness Function and the Optimal Expression Level Cells Reach Optimal LacZ Levels in a Few Hundred Generations in Laboratory Evolution Experiments Environmental selection of the feedforward loop network motif References

Optimal gene circuit design from Gaurav Aggarwal

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0 Ethics in assisted reproductive technologies /slideshow/ethics-in-assisted-reproductive-technologies/249892082 ethicsinassistedreproductivetechnologies-210730163354
Assisted Reproductive Technologies (ART) First Successful IVF: Birth of Louise Brown in 1978 Rapid developments in the field of ART Moral panic Ethics Ethical issues Ethical concerns Moral issues Social issues Religion Case study ]]>
Assisted Reproductive Technologies (ART) First Successful IVF: Birth of Louise Brown in 1978 Rapid developments in the field of ART Moral panic Ethics Ethical issues Ethical concerns Moral issues Social issues Religion Case study ]]> Fri, 30 Jul 2021 16:33:54 GMT /slideshow/ethics-in-assisted-reproductive-technologies/249892082 GauravAggarwal109@slideshare.net(GauravAggarwal109) Ethics in assisted reproductive technologies GauravAggarwal109 Assisted Reproductive Technologies (ART) First Successful IVF: Birth of Louise Brown in 1978 Rapid developments in the field of ART Moral panic Ethics Ethical issues Ethical concerns Moral issues Social issues Religion Case study <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/ethicsinassistedreproductivetechnologies-210730163354-thumbnail.jpg?width=120&height=120&fit=bounds" /> Assisted Reproductive Technologies (ART) First Successful IVF: Birth of Louise Brown in 1978 Rapid developments in the field of ART Moral panic Ethics Ethical issues Ethical concerns Moral issues Social issues Religion Case study

Ethics in assisted reproductive technologies from Gaurav Aggarwal

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0 Descriptors /slideshow/descriptors-249892070/249892070 descriptors-210730162920
The manipulation and analysis of chemical structural information is made possible through the use of molecular descriptors. These are numerical values that characterise properties of molecules. For example, they may represent the physicochemical properties of a molecule or they may be values that are derived by applying algorithmic techniques to the molecular structures. Many different molecular descriptors have been described and used for a wide variety of purposes. They vary in the complexity of the information they encode and in the time required to calculate them. In general, the computational requirements increase with the level of discrimination that is achieved. For For example, the molecular weight does not convey much about a molecule’s properties but it is very rapid to compute. By contrast, descriptors that are based on quantum mechanics may provide accurate representations of properties, but they are much more time consuming to compute. Some descriptors have an experimental counterpart (e.g.the octanol–water partition coefficient), whereas others are purely algorithmic constructs (e.g. 2D fingerprints). ]]>
The manipulation and analysis of chemical structural information is made possible through the use of molecular descriptors. These are numerical values that characterise properties of molecules. For example, they may represent the physicochemical properties of a molecule or they may be values that are derived by applying algorithmic techniques to the molecular structures. Many different molecular descriptors have been described and used for a wide variety of purposes. They vary in the complexity of the information they encode and in the time required to calculate them. In general, the computational requirements increase with the level of discrimination that is achieved. For For example, the molecular weight does not convey much about a molecule’s properties but it is very rapid to compute. By contrast, descriptors that are based on quantum mechanics may provide accurate representations of properties, but they are much more time consuming to compute. Some descriptors have an experimental counterpart (e.g.the octanol–water partition coefficient), whereas others are purely algorithmic constructs (e.g. 2D fingerprints). ]]> Fri, 30 Jul 2021 16:29:20 GMT /slideshow/descriptors-249892070/249892070 GauravAggarwal109@slideshare.net(GauravAggarwal109) Descriptors GauravAggarwal109 The manipulation and analysis of chemical structural information is made possible through the use of molecular descriptors. These are numerical values that characterise properties of molecules. For example, they may represent the physicochemical properties of a molecule or they may be values that are derived by applying algorithmic techniques to the molecular structures. Many different molecular descriptors have been described and used for a wide variety of purposes. They vary in the complexity of the information they encode and in the time required to calculate them. In general, the computational requirements increase with the level of discrimination that is achieved. For For example, the molecular weight does not convey much about a molecule’s properties but it is very rapid to compute. By contrast, descriptors that are based on quantum mechanics may provide accurate representations of properties, but they are much more time consuming to compute. Some descriptors have an experimental counterpart (e.g.the octanol–water partition coefficient), whereas others are purely algorithmic constructs (e.g. 2D fingerprints). <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/descriptors-210730162920-thumbnail.jpg?width=120&height=120&fit=bounds" /> The manipulation and analysis of chemical structural information is made possible through the use of molecular descriptors. These are numerical values that characterise properties of molecules. For example, they may represent the physicochemical properties of a molecule or they may be values that are derived by applying algorithmic techniques to the molecular structures. Many different molecular descriptors have been described and used for a wide variety of purposes. They vary in the complexity of the information they encode and in the time required to calculate them. In general, the computational requirements increase with the level of discrimination that is achieved. For For example, the molecular weight does not convey much about a molecule’s properties but it is very rapid to compute. By contrast, descriptors that are based on quantum mechanics may provide accurate representations of properties, but they are much more time consuming to compute. Some descriptors have an experimental counterpart (e.g.the octanol–water partition coefficient), whereas others are purely algorithmic constructs (e.g. 2D fingerprints).

Descriptors from Gaurav Aggarwal

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0 Apriori algorithm /slideshow/apriori-algorithm-241228738/241228738 apriorialgorithm-210112081452
Apriori is the most famous frequent pattern mining method. It scans dataset repeatedly and generate item sets by bottom-top approach. Apriori algorithm is given by R. Agrawal and R. Srikant in 1994 for finding frequent itemsets in a dataset for boolean association rule. Name of the algorithm is Apriori because it uses prior knowledge of frequent itemset properties ]]>
Apriori is the most famous frequent pattern mining method. It scans dataset repeatedly and generate item sets by bottom-top approach. Apriori algorithm is given by R. Agrawal and R. Srikant in 1994 for finding frequent itemsets in a dataset for boolean association rule. Name of the algorithm is Apriori because it uses prior knowledge of frequent itemset properties ]]> Tue, 12 Jan 2021 08:14:51 GMT /slideshow/apriori-algorithm-241228738/241228738 GauravAggarwal109@slideshare.net(GauravAggarwal109) Apriori algorithm GauravAggarwal109 Apriori is the most famous frequent pattern mining method. It scans dataset repeatedly and generate item sets by bottom-top approach. Apriori algorithm is given by R. Agrawal and R. Srikant in 1994 for finding frequent itemsets in a dataset for boolean association rule. Name of the algorithm is Apriori because it uses prior knowledge of frequent itemset properties <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/apriorialgorithm-210112081452-thumbnail.jpg?width=120&height=120&fit=bounds" /> Apriori is the most famous frequent pattern mining method. It scans dataset repeatedly and generate item sets by bottom-top approach. Apriori algorithm is given by R. Agrawal and R. Srikant in 1994 for finding frequent itemsets in a dataset for boolean association rule. Name of the algorithm is Apriori because it uses prior knowledge of frequent itemset properties

Apriori algorithm from Gaurav Aggarwal

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0 Epidemiology, Genetic Recombination, and Pathogenesis of Coronaviruses /slideshow/epidemiology-genetic-recombination-and-pathogenesis-of-coronaviruses/235888181 tutorial208-06-2020-200619045635
Since the starting of the Coronavirus Pandemic around the world, Everyone wants to know about coronavirus nCoV-19. This ppt will cover different strains of Coronaviruses that have been discovered since 1966 - Their Epidemiology and Pathophysiology. Discussion about the pandemics and epidemics that happened before the novel coronavirus pandemic. While the main focus of the class will be on : (1) The causative strains of coronaviruses that were involved to cause those pandemics/ epidemics. (2) Genetics recombination among them to evolve more pathogenic strains.]]>
Since the starting of the Coronavirus Pandemic around the world, Everyone wants to know about coronavirus nCoV-19. This ppt will cover different strains of Coronaviruses that have been discovered since 1966 - Their Epidemiology and Pathophysiology. Discussion about the pandemics and epidemics that happened before the novel coronavirus pandemic. While the main focus of the class will be on : (1) The causative strains of coronaviruses that were involved to cause those pandemics/ epidemics. (2) Genetics recombination among them to evolve more pathogenic strains.]]> Fri, 19 Jun 2020 04:56:35 GMT /slideshow/epidemiology-genetic-recombination-and-pathogenesis-of-coronaviruses/235888181 GauravAggarwal109@slideshare.net(GauravAggarwal109) Epidemiology, Genetic Recombination, and Pathogenesis of Coronaviruses GauravAggarwal109 Since the starting of the Coronavirus Pandemic around the world, Everyone wants to know about coronavirus nCoV-19. This ppt will cover different strains of Coronaviruses that have been discovered since 1966 - Their Epidemiology and Pathophysiology. Discussion about the pandemics and epidemics that happened before the novel coronavirus pandemic. While the main focus of the class will be on : (1) The causative strains of coronaviruses that were involved to cause those pandemics/ epidemics. (2) Genetics recombination among them to evolve more pathogenic strains. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/tutorial208-06-2020-200619045635-thumbnail.jpg?width=120&height=120&fit=bounds" /> Since the starting of the Coronavirus Pandemic around the world, Everyone wants to know about coronavirus nCoV-19. This ppt will cover different strains of Coronaviruses that have been discovered since 1966 - Their Epidemiology and Pathophysiology. Discussion about the pandemics and epidemics that happened before the novel coronavirus pandemic. While the main focus of the class will be on : (1) The causative strains of coronaviruses that were involved to cause those pandemics/ epidemics. (2) Genetics recombination among them to evolve more pathogenic strains.

Epidemiology, Genetic Recombination, and Pathogenesis of Coronaviruses from Gaurav Aggarwal

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0 Introduction to numpy /slideshow/introduction-to-numpy-233510775/233510775 introductiontonumpy-200510135746
An intro to numpy- Installation, Use and programming commands]]>
An intro to numpy- Installation, Use and programming commands]]> Sun, 10 May 2020 13:57:46 GMT /slideshow/introduction-to-numpy-233510775/233510775 GauravAggarwal109@slideshare.net(GauravAggarwal109) Introduction to numpy GauravAggarwal109 An intro to numpy- Installation, Use and programming commands <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/introductiontonumpy-200510135746-thumbnail.jpg?width=120&height=120&fit=bounds" /> An intro to numpy- Installation, Use and programming commands

Introduction to numpy from Gaurav Aggarwal

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0 Sequence analysis /slideshow/sequence-analysis-233510506/233510506 sequenceanalysis-200510134528
This will Cover Concepts of Dendrogram specifically Neighbor joining method ]]>
This will Cover Concepts of Dendrogram specifically Neighbor joining method ]]> Sun, 10 May 2020 13:45:28 GMT /slideshow/sequence-analysis-233510506/233510506 GauravAggarwal109@slideshare.net(GauravAggarwal109) Sequence analysis GauravAggarwal109 This will Cover Concepts of Dendrogram specifically Neighbor joining method <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/sequenceanalysis-200510134528-thumbnail.jpg?width=120&height=120&fit=bounds" /> This will Cover Concepts of Dendrogram specifically Neighbor joining method

Sequence analysis from Gaurav Aggarwal

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0 Immunity to microbes /slideshow/immunity-to-microbes-233510202/233510202 immunologygaurav-200510133345
This will cover immunnity to ; 1.Extracellular bacteria 2.Intracellular bacteria 3.Viruses]]>
This will cover immunnity to ; 1.Extracellular bacteria 2.Intracellular bacteria 3.Viruses]]> Sun, 10 May 2020 13:33:44 GMT /slideshow/immunity-to-microbes-233510202/233510202 GauravAggarwal109@slideshare.net(GauravAggarwal109) Immunity to microbes GauravAggarwal109 This will cover immunnity to ; 1.Extracellular bacteria 2.Intracellular bacteria 3.Viruses <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/immunologygaurav-200510133345-thumbnail.jpg?width=120&height=120&fit=bounds" /> This will cover immunnity to ; 1.Extracellular bacteria 2.Intracellular bacteria 3.Viruses

Immunity to microbes from Gaurav Aggarwal

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0 Challenges and drawbacks of drug discovery and development /GauravAggarwal109/challenges-and-drawbacks-of-drug-discovery-and-development challengesanddrawbacksofdrugdiscoveryanddevelopment-200510124340
Challenges and Drawbacks of Drug Discovery and Development]]>
Challenges and Drawbacks of Drug Discovery and Development]]> Sun, 10 May 2020 12:43:40 GMT /GauravAggarwal109/challenges-and-drawbacks-of-drug-discovery-and-development GauravAggarwal109@slideshare.net(GauravAggarwal109) Challenges and drawbacks of drug discovery and development GauravAggarwal109 Challenges and Drawbacks of Drug Discovery and Development <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/challengesanddrawbacksofdrugdiscoveryanddevelopment-200510124340-thumbnail.jpg?width=120&height=120&fit=bounds" /> Challenges and Drawbacks of Drug Discovery and Development

Challenges and drawbacks of drug discovery and development from Gaurav Aggarwal

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0 Nucleus /slideshow/nucleus-227281043/227281043 nucleus-200207142546
Discovery of nucleus Evolution of nucleus Structure of nucleus Function of nucleus Diseases related with nucleus The nucleus was the first organelle to be discovered. The probably oldest preserved drawing dates back to the early microscopist Antonie van Leeuwenhoek (1632 – 1723). He observed a "Lumen", the nucleus, in the red blood cells of salmon. The nucleus was also described in 1831 by Scottish botanist Robert Brown. Brown was studying orchids under microscope when he observed an opaque area, which he called the areola or nucleus, in the cells of the flower's outer layer. He did not suggest a potential function. The cell nucleus is a membrane bound structure that:- Contains the cell's hereditary information Controls the cell's growth and reproduction Direct the other components of cell through protein regulation Make Proteins through central dogma of cell DNA mRNA Protein Emery-Dreifuss muscular dystrophy Mutations in nuclear lamins associated with Emery-Dreifuss muscular dystrophy. Emery-Dreifuss muscular dystrophy (EDMD) is a neuromuscular degenerative condition with an associated dilated cardiomyopathy and cardiac conduction defect. It can be inherited in either an X-linked or autosomal manner by mutations in the nuclear proteins emerin and lamin A/C, respectively. Traditionally muscular dystrophies were associated with defects in sarcolemma-associated proteins and, therefore, a nuclear connection suggested the existence of novel signalling pathways associated with this group of diseases. Subsequently, other mutations in the lamin A/C gene were attributed to a range of tissue-specific degenerative conditions, collectively known as the 'laminopathies’. ]]>
Discovery of nucleus Evolution of nucleus Structure of nucleus Function of nucleus Diseases related with nucleus The nucleus was the first organelle to be discovered. The probably oldest preserved drawing dates back to the early microscopist Antonie van Leeuwenhoek (1632 – 1723). He observed a "Lumen", the nucleus, in the red blood cells of salmon. The nucleus was also described in 1831 by Scottish botanist Robert Brown. Brown was studying orchids under microscope when he observed an opaque area, which he called the areola or nucleus, in the cells of the flower's outer layer. He did not suggest a potential function. The cell nucleus is a membrane bound structure that:- Contains the cell's hereditary information Controls the cell's growth and reproduction Direct the other components of cell through protein regulation Make Proteins through central dogma of cell DNA mRNA Protein Emery-Dreifuss muscular dystrophy Mutations in nuclear lamins associated with Emery-Dreifuss muscular dystrophy. Emery-Dreifuss muscular dystrophy (EDMD) is a neuromuscular degenerative condition with an associated dilated cardiomyopathy and cardiac conduction defect. It can be inherited in either an X-linked or autosomal manner by mutations in the nuclear proteins emerin and lamin A/C, respectively. Traditionally muscular dystrophies were associated with defects in sarcolemma-associated proteins and, therefore, a nuclear connection suggested the existence of novel signalling pathways associated with this group of diseases. Subsequently, other mutations in the lamin A/C gene were attributed to a range of tissue-specific degenerative conditions, collectively known as the 'laminopathies’. ]]> Fri, 07 Feb 2020 14:25:46 GMT /slideshow/nucleus-227281043/227281043 GauravAggarwal109@slideshare.net(GauravAggarwal109) Nucleus GauravAggarwal109 Discovery of nucleus Evolution of nucleus Structure of nucleus Function of nucleus Diseases related with nucleus The nucleus was the first organelle to be discovered. The probably oldest preserved drawing dates back to the early microscopist Antonie van Leeuwenhoek (1632 – 1723). He observed a "Lumen", the nucleus, in the red blood cells of salmon. The nucleus was also described in 1831 by Scottish botanist Robert Brown. Brown was studying orchids under microscope when he observed an opaque area, which he called the areola or nucleus, in the cells of the flower's outer layer. He did not suggest a potential function. The cell nucleus is a membrane bound structure that:- Contains the cell's hereditary information Controls the cell's growth and reproduction Direct the other components of cell through protein regulation Make Proteins through central dogma of cell DNA mRNA Protein Emery-Dreifuss muscular dystrophy Mutations in nuclear lamins associated with Emery-Dreifuss muscular dystrophy. Emery-Dreifuss muscular dystrophy (EDMD) is a neuromuscular degenerative condition with an associated dilated cardiomyopathy and cardiac conduction defect. It can be inherited in either an X-linked or autosomal manner by mutations in the nuclear proteins emerin and lamin A/C, respectively. Traditionally muscular dystrophies were associated with defects in sarcolemma-associated proteins and, therefore, a nuclear connection suggested the existence of novel signalling pathways associated with this group of diseases. Subsequently, other mutations in the lamin A/C gene were attributed to a range of tissue-specific degenerative conditions, collectively known as the 'laminopathies’. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/nucleus-200207142546-thumbnail.jpg?width=120&height=120&fit=bounds" /> Discovery of nucleus Evolution of nucleus Structure of nucleus Function of nucleus Diseases related with nucleus The nucleus was the first organelle to be discovered. The probably oldest preserved drawing dates back to the early microscopist Antonie van Leeuwenhoek (1632 – 1723). He observed a "Lumen", the nucleus, in the red blood cells of salmon. The nucleus was also described in 1831 by Scottish botanist Robert Brown. Brown was studying orchids under microscope when he observed an opaque area, which he called the areola or nucleus, in the cells of the flower's outer layer. He did not suggest a potential function. The cell nucleus is a membrane bound structure that:- Contains the cell's hereditary information Controls the cell's growth and reproduction Direct the other components of cell through protein regulation Make Proteins through central dogma of cell DNA mRNA Protein Emery-Dreifuss muscular dystrophy Mutations in nuclear lamins associated with Emery-Dreifuss muscular dystrophy. Emery-Dreifuss muscular dystrophy (EDMD) is a neuromuscular degenerative condition with an associated dilated cardiomyopathy and cardiac conduction defect. It can be inherited in either an X-linked or autosomal manner by mutations in the nuclear proteins emerin and lamin A/C, respectively. Traditionally muscular dystrophies were associated with defects in sarcolemma-associated proteins and, therefore, a nuclear connection suggested the existence of novel signalling pathways associated with this group of diseases. Subsequently, other mutations in the lamin A/C gene were attributed to a range of tissue-specific degenerative conditions, collectively known as the 'laminopathies’.

Nucleus from Gaurav Aggarwal

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0 Forces stabilizing nucleic acid structure /slideshow/forces-stabilizing-nucleic-acid-structure/227280742 forcesstabilizingnucleicacidstructure-200207142140
Hydrogen bonding Base stacking Hydrophobic interaction Ionic bonding ]]>
Hydrogen bonding Base stacking Hydrophobic interaction Ionic bonding ]]> Fri, 07 Feb 2020 14:21:40 GMT /slideshow/forces-stabilizing-nucleic-acid-structure/227280742 GauravAggarwal109@slideshare.net(GauravAggarwal109) Forces stabilizing nucleic acid structure GauravAggarwal109 Hydrogen bonding Base stacking Hydrophobic interaction Ionic bonding <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/forcesstabilizingnucleicacidstructure-200207142140-thumbnail.jpg?width=120&height=120&fit=bounds" /> Hydrogen bonding Base stacking Hydrophobic interaction Ionic bonding

Forces stabilizing nucleic acid structure from Gaurav Aggarwal

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0 Memory management in python /slideshow/memory-management-in-python-186280147/186280147 memorymanagementinpython-191024143023
Memory management in python]]>
Memory management in python]]> Thu, 24 Oct 2019 14:30:23 GMT /slideshow/memory-management-in-python-186280147/186280147 GauravAggarwal109@slideshare.net(GauravAggarwal109) Memory management in python GauravAggarwal109 Memory management in python <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/memorymanagementinpython-191024143023-thumbnail.jpg?width=120&height=120&fit=bounds" /> Memory management in python

Memory management in python from Gaurav Aggarwal

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0 Enzyme catalysis /slideshow/enzyme-catalysis-182730048/182730048 enzymecatalysis-191016085325
Mechanism of enzyme catalysis]]>
Mechanism of enzyme catalysis]]> Wed, 16 Oct 2019 08:53:25 GMT /slideshow/enzyme-catalysis-182730048/182730048 GauravAggarwal109@slideshare.net(GauravAggarwal109) Enzyme catalysis GauravAggarwal109 Mechanism of enzyme catalysis <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/enzymecatalysis-191016085325-thumbnail.jpg?width=120&height=120&fit=bounds" /> Mechanism of enzyme catalysis

Enzyme catalysis from Gaurav Aggarwal

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0 https://cdn.slidesharecdn.com/profile-photo-GauravAggarwal109-48x48.jpg?cb=1698140485 Highly motivated and competent Student who Want to pursue a cutting edge research career in the evergreen field of Biotechnology and Bioinformatics to help the scientific community and Native people of this world in understanding the cause behind a natural problem and exploring the ways of combating. https://cdn.slidesharecdn.com/ss_thumbnails/optimalgenecircuitdesign-210730163809-thumbnail.jpg?width=320&height=320&fit=bounds GauravAggarwal109/optimal-gene-circuit-design Optimal gene circuit d... https://cdn.slidesharecdn.com/ss_thumbnails/ethicsinassistedreproductivetechnologies-210730163354-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/ethics-in-assisted-reproductive-technologies/249892082 Ethics in assisted rep... https://cdn.slidesharecdn.com/ss_thumbnails/descriptors-210730162920-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/descriptors-249892070/249892070 Descriptors