際際滷shows by User: seandavi / http://www.slideshare.net/images/logo.gif 際際滷shows by User: seandavi / Thu, 16 May 2019 16:38:33 GMT 際際滷Share feed for 際際滷shows by User: seandavi Lightweight data engineering, tools, and software to facilitate data reuse and data science /slideshow/lightweight-data-engineering-tools-and-software-to-facilitate-data-reuse-and-data-science/146085321 cmuaidr2019dataengineeringsd1-190516163833
Lightweight tools, software, and publication processes that tie together data resources, analysis tools, documentation can powerful stimuli for the high-quality reuse of available data. While developed with reproducibility as a core value, Bioconductor tooling and infrastructure has reduced barriers to data reuse and established best practices for rich data and metadata sharing in genomics and proteomics. In this talk, I give a few examples and motivation for how the Bioconductor data ecosystem can be a model for other communities to enhance the value of available data. ]]>
Lightweight tools, software, and publication processes that tie together data resources, analysis tools, documentation can powerful stimuli for the high-quality reuse of available data. While developed with reproducibility as a core value, Bioconductor tooling and infrastructure has reduced barriers to data reuse and established best practices for rich data and metadata sharing in genomics and proteomics. In this talk, I give a few examples and motivation for how the Bioconductor data ecosystem can be a model for other communities to enhance the value of available data. ]]> Thu, 16 May 2019 16:38:33 GMT /slideshow/lightweight-data-engineering-tools-and-software-to-facilitate-data-reuse-and-data-science/146085321 seandavi@slideshare.net(seandavi) Lightweight data engineering, tools, and software to facilitate data reuse and data science seandavi Lightweight tools, software, and publication processes that tie together data resources, analysis tools, documentation can powerful stimuli for the high-quality reuse of available data. While developed with reproducibility as a core value, Bioconductor tooling and infrastructure has reduced barriers to data reuse and established best practices for rich data and metadata sharing in genomics and proteomics. In this talk, I give a few examples and motivation for how the Bioconductor data ecosystem can be a model for other communities to enhance the value of available data. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/cmuaidr2019dataengineeringsd1-190516163833-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Lightweight tools, software, and publication processes that tie together data resources, analysis tools, documentation can powerful stimuli for the high-quality reuse of available data. While developed with reproducibility as a core value, Bioconductor tooling and infrastructure has reduced barriers to data reuse and established best practices for rich data and metadata sharing in genomics and proteomics. In this talk, I give a few examples and motivation for how the Bioconductor data ecosystem can be a model for other communities to enhance the value of available data.
Lightweight data engineering, tools, and software to facilitate data reuse and data science from Sean Davis
]]> 198 3 https://cdn.slidesharecdn.com/ss_thumbnails/cmuaidr2019dataengineeringsd1-190516163833-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 2016 07 12_purdue_bigdatainomics_seandavis /seandavi/2016-07-12purduebigdatainomicsseandavis repgo7gyskotmp04ooke-signature-fd658d88e67926bb0bb32197ff7fd3a005fcfdec76f369d6febe2ecd2982c9c4-poli-160714110857
Newer, faster, cheaper molecular assays are driving biomedical research. I discuss the history of biomedical data including concepts of data sharing, hypothesis-driven vs generating research, and the potential to expand our thinking on biomedical research to be much more integrated through smart, creative, and open use of technologies and more flexible, longitudinal studies.]]>
Newer, faster, cheaper molecular assays are driving biomedical research. I discuss the history of biomedical data including concepts of data sharing, hypothesis-driven vs generating research, and the potential to expand our thinking on biomedical research to be much more integrated through smart, creative, and open use of technologies and more flexible, longitudinal studies.]]> Thu, 14 Jul 2016 11:08:56 GMT /seandavi/2016-07-12purduebigdatainomicsseandavis seandavi@slideshare.net(seandavi) 2016 07 12_purdue_bigdatainomics_seandavis seandavi Newer, faster, cheaper molecular assays are driving biomedical research. I discuss the history of biomedical data including concepts of data sharing, hypothesis-driven vs generating research, and the potential to expand our thinking on biomedical research to be much more integrated through smart, creative, and open use of technologies and more flexible, longitudinal studies. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/repgo7gyskotmp04ooke-signature-fd658d88e67926bb0bb32197ff7fd3a005fcfdec76f369d6febe2ecd2982c9c4-poli-160714110857-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Newer, faster, cheaper molecular assays are driving biomedical research. I discuss the history of biomedical data including concepts of data sharing, hypothesis-driven vs generating research, and the potential to expand our thinking on biomedical research to be much more integrated through smart, creative, and open use of technologies and more flexible, longitudinal studies.
2016 07 12_purdue_bigdatainomics_seandavis from Sean Davis
]]> 471 4 https://cdn.slidesharecdn.com/ss_thumbnails/repgo7gyskotmp04ooke-signature-fd658d88e67926bb0bb32197ff7fd3a005fcfdec76f369d6febe2ecd2982c9c4-poli-160714110857-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 RNA-seq: A High-resolution View of the Transcriptome /slideshow/rnaseq-a-highresolution-view-of-the-transcriptome/60727602 rnaseqbasic-160410233954
The molecular microscopes that we use to examine human biology have advanced significantly with the advent of next generation sequencing. RNA-seq is one application of this technology that leads to a very high-resolution view of the transcriptome. With these new technologies come increased data analysis and data handling burdens as well as the promise of new discovery. These slides present a high-level overview of the RNA-seq technology with a focus on the analysis approaches, quality control challenges, and experimental design.]]>
The molecular microscopes that we use to examine human biology have advanced significantly with the advent of next generation sequencing. RNA-seq is one application of this technology that leads to a very high-resolution view of the transcriptome. With these new technologies come increased data analysis and data handling burdens as well as the promise of new discovery. These slides present a high-level overview of the RNA-seq technology with a focus on the analysis approaches, quality control challenges, and experimental design.]]> Sun, 10 Apr 2016 23:39:54 GMT /slideshow/rnaseq-a-highresolution-view-of-the-transcriptome/60727602 seandavi@slideshare.net(seandavi) RNA-seq: A High-resolution View of the Transcriptome seandavi The molecular microscopes that we use to examine human biology have advanced significantly with the advent of next generation sequencing. RNA-seq is one application of this technology that leads to a very high-resolution view of the transcriptome. With these new technologies come increased data analysis and data handling burdens as well as the promise of new discovery. These slides present a high-level overview of the RNA-seq technology with a focus on the analysis approaches, quality control challenges, and experimental design. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/rnaseqbasic-160410233954-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> The molecular microscopes that we use to examine human biology have advanced significantly with the advent of next generation sequencing. RNA-seq is one application of this technology that leads to a very high-resolution view of the transcriptome. With these new technologies come increased data analysis and data handling burdens as well as the promise of new discovery. These slides present a high-level overview of the RNA-seq technology with a focus on the analysis approaches, quality control challenges, and experimental design.
RNA-seq: A High-resolution View of the Transcriptome from Sean Davis
]]> 824 8 https://cdn.slidesharecdn.com/ss_thumbnails/rnaseqbasic-160410233954-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 SRAdb Bioconductor Package Overview /slideshow/sradb-bioconductor-package-overview/51609448 sradbjack081215-150814004011-lva1-app6891
Jack Zhu presents a quick set of overview slides on the Bioconductor SRAdb package. The package allows SQL access to the Sequence Read Archive (SRA) repository at NCBI.]]>
Jack Zhu presents a quick set of overview slides on the Bioconductor SRAdb package. The package allows SQL access to the Sequence Read Archive (SRA) repository at NCBI.]]> Fri, 14 Aug 2015 00:40:11 GMT /slideshow/sradb-bioconductor-package-overview/51609448 seandavi@slideshare.net(seandavi) SRAdb Bioconductor Package Overview seandavi Jack Zhu presents a quick set of overview slides on the Bioconductor SRAdb package. The package allows SQL access to the Sequence Read Archive (SRA) repository at NCBI. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/sradbjack081215-150814004011-lva1-app6891-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Jack Zhu presents a quick set of overview slides on the Bioconductor SRAdb package. The package allows SQL access to the Sequence Read Archive (SRA) repository at NCBI.
SRAdb Bioconductor Package Overview from Sean Davis
]]> 1277 5 https://cdn.slidesharecdn.com/ss_thumbnails/sradbjack081215-150814004011-lva1-app6891-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 ShinySRAdb: an R package using shiny to wrap the SRAdb Bioconductor package /slideshow/shinysradb-an-r-package-using-shiny-to-wrap-the-sradb-bioconductor-package/51600560 shinysradbslides-150813193228-lva1-app6892
The Sequence Read Archive (SRA) is hosted at the National Center for Biomedical Informatics at the National Institutes of Health. These slides showcase Olivia Zhang's summer internship work to wrap a Bioconductor package, SRAdb, using the the shiny R package. ]]>
The Sequence Read Archive (SRA) is hosted at the National Center for Biomedical Informatics at the National Institutes of Health. These slides showcase Olivia Zhang's summer internship work to wrap a Bioconductor package, SRAdb, using the the shiny R package. ]]> Thu, 13 Aug 2015 19:32:28 GMT /slideshow/shinysradb-an-r-package-using-shiny-to-wrap-the-sradb-bioconductor-package/51600560 seandavi@slideshare.net(seandavi) ShinySRAdb: an R package using shiny to wrap the SRAdb Bioconductor package seandavi The Sequence Read Archive (SRA) is hosted at the National Center for Biomedical Informatics at the National Institutes of Health. These slides showcase Olivia Zhang's summer internship work to wrap a Bioconductor package, SRAdb, using the the shiny R package. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/shinysradbslides-150813193228-lva1-app6892-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> The Sequence Read Archive (SRA) is hosted at the National Center for Biomedical Informatics at the National Institutes of Health. These slides showcase Olivia Zhang&#39;s summer internship work to wrap a Bioconductor package, SRAdb, using the the shiny R package.
ShinySRAdb: an R package using shiny to wrap the SRAdb Bioconductor package from Sean Davis
]]> 1307 11 https://cdn.slidesharecdn.com/ss_thumbnails/shinysradbslides-150813193228-lva1-app6892-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 RNA-seq Data Analysis Overview /seandavi/rnaseq-data-analysis-overview rnaseqdataanalysisoverview-141202052203-conversion-gate01
This is a short, high-level overview of RNA-seq data analysis. Original presentation was for the Bethesda Illumina User Group on December 2, 2014.]]>
This is a short, high-level overview of RNA-seq data analysis. Original presentation was for the Bethesda Illumina User Group on December 2, 2014.]]> Tue, 02 Dec 2014 05:22:03 GMT /seandavi/rnaseq-data-analysis-overview seandavi@slideshare.net(seandavi) RNA-seq Data Analysis Overview seandavi This is a short, high-level overview of RNA-seq data analysis. Original presentation was for the Bethesda Illumina User Group on December 2, 2014. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/rnaseqdataanalysisoverview-141202052203-conversion-gate01-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> This is a short, high-level overview of RNA-seq data analysis. Original presentation was for the Bethesda Illumina User Group on December 2, 2014.
RNA-seq Data Analysis Overview from Sean Davis
]]> 2228 3 https://cdn.slidesharecdn.com/ss_thumbnails/rnaseqdataanalysisoverview-141202052203-conversion-gate01-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 Introduction to R /slideshow/precourse-35740848/35740848 precourse-140611060622-phpapp02
This slide set is meant to be a teaching guide to R functionality. It includes hands-on exercises meant to be used for an audience sitting in front of a computer. ]]>
This slide set is meant to be a teaching guide to R functionality. It includes hands-on exercises meant to be used for an audience sitting in front of a computer. ]]> Wed, 11 Jun 2014 06:06:22 GMT /slideshow/precourse-35740848/35740848 seandavi@slideshare.net(seandavi) Introduction to R seandavi This slide set is meant to be a teaching guide to R functionality. It includes hands-on exercises meant to be used for an audience sitting in front of a computer. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/precourse-140611060622-phpapp02-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> This slide set is meant to be a teaching guide to R functionality. It includes hands-on exercises meant to be used for an audience sitting in front of a computer.
Introduction to R from Sean Davis
]]> 1361 2 https://cdn.slidesharecdn.com/ss_thumbnails/precourse-140611060622-phpapp02-thumbnail.jpg?width=120&height=120&fit=bounds presentation 000000 http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 Rna seq /slideshow/rna-seq/31335434 rnaseq-140218060739-phpapp01
]]>
]]> Tue, 18 Feb 2014 06:07:39 GMT /slideshow/rna-seq/31335434 seandavi@slideshare.net(seandavi) Rna seq seandavi <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/rnaseq-140218060739-phpapp01-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br>
Rna seq from Sean Davis
]]> 5252 8 https://cdn.slidesharecdn.com/ss_thumbnails/rnaseq-140218060739-phpapp01-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 Forsharing cshl2011 sequencing /slideshow/forsharing-cshl2011-sequencing-8864233/8864233 forsharingcshl2011sequencing-110816051025-phpapp01
Short overview talk on exome and genome sequencing and DNAse-seq.]]>
Short overview talk on exome and genome sequencing and DNAse-seq.]]> Tue, 16 Aug 2011 05:10:22 GMT /slideshow/forsharing-cshl2011-sequencing-8864233/8864233 seandavi@slideshare.net(seandavi) Forsharing cshl2011 sequencing seandavi Short overview talk on exome and genome sequencing and DNAse-seq. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/forsharingcshl2011sequencing-110816051025-phpapp01-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Short overview talk on exome and genome sequencing and DNAse-seq.
Forsharing cshl2011 sequencing from Sean Davis
]]> 532 4 https://cdn.slidesharecdn.com/ss_thumbnails/forsharingcshl2011sequencing-110816051025-phpapp01-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 Public datatutorialoverview /slideshow/public-datatutorialoverview/8804730 publicdatatutorialoverview-110808205555-phpapp02
This talk reviews some of the software packages available for R and Bioconductor to access NCBI Gene Expression Omnibus (GEO) and Sequence Read Archive (SRA). In particular, the GEOquery, GEOmetadb, and SRAdb packages are discussed. ]]>
This talk reviews some of the software packages available for R and Bioconductor to access NCBI Gene Expression Omnibus (GEO) and Sequence Read Archive (SRA). In particular, the GEOquery, GEOmetadb, and SRAdb packages are discussed. ]]> Mon, 08 Aug 2011 20:55:53 GMT /slideshow/public-datatutorialoverview/8804730 seandavi@slideshare.net(seandavi) Public datatutorialoverview seandavi This talk reviews some of the software packages available for R and Bioconductor to access NCBI Gene Expression Omnibus (GEO) and Sequence Read Archive (SRA). In particular, the GEOquery, GEOmetadb, and SRAdb packages are discussed. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/publicdatatutorialoverview-110808205555-phpapp02-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> This talk reviews some of the software packages available for R and Bioconductor to access NCBI Gene Expression Omnibus (GEO) and Sequence Read Archive (SRA). In particular, the GEOquery, GEOmetadb, and SRAdb packages are discussed.
Public datatutorialoverview from Sean Davis
]]> 547 3 https://cdn.slidesharecdn.com/ss_thumbnails/publicdatatutorialoverview-110808205555-phpapp02-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 Sssc retreat.bioinfo resources.20110411 /slideshow/sssc-retreatbioinfo-resources20110411/7588060 ssscretreat-bioinforesources-20110411-110411090154-phpapp01
Ten minute talk to the Staff Scientist and Staff Clinicians from NCI regarding bioinformatics resources.]]>
Ten minute talk to the Staff Scientist and Staff Clinicians from NCI regarding bioinformatics resources.]]> Mon, 11 Apr 2011 09:01:51 GMT /slideshow/sssc-retreatbioinfo-resources20110411/7588060 seandavi@slideshare.net(seandavi) Sssc retreat.bioinfo resources.20110411 seandavi Ten minute talk to the Staff Scientist and Staff Clinicians from NCI regarding bioinformatics resources. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/ssscretreat-bioinforesources-20110411-110411090154-phpapp01-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Ten minute talk to the Staff Scientist and Staff Clinicians from NCI regarding bioinformatics resources.
Sssc retreat.bioinfo resources.20110411 from Sean Davis
]]> 411 4 https://cdn.slidesharecdn.com/ss_thumbnails/ssscretreat-bioinforesources-20110411-110411090154-phpapp01-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 OKC Grand Rounds 2009 /slideshow/okc-grand-rounds-2009/7581585 okc-peds-grand-rounds-110410195345-phpapp01
]]>
]]> Sun, 10 Apr 2011 19:53:39 GMT /slideshow/okc-grand-rounds-2009/7581585 seandavi@slideshare.net(seandavi) OKC Grand Rounds 2009 seandavi <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/okc-peds-grand-rounds-110410195345-phpapp01-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br>
OKC Grand Rounds 2009 from Sean Davis
]]> 375 1 https://cdn.slidesharecdn.com/ss_thumbnails/okc-peds-grand-rounds-110410195345-phpapp01-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 Genetics Branch Journal club /slideshow/gbjc-feb2010/7581553 gbjcfeb2010-110410194847-phpapp02
The landscape of somatic copy-number alteration across human cancers.]]>
The landscape of somatic copy-number alteration across human cancers.]]> Sun, 10 Apr 2011 19:48:41 GMT /slideshow/gbjc-feb2010/7581553 seandavi@slideshare.net(seandavi) Genetics Branch Journal club seandavi The landscape of somatic copy-number alteration across human cancers. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/gbjcfeb2010-110410194847-phpapp02-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> The landscape of somatic copy-number alteration across human cancers.
Genetics Branch Journal club from Sean Davis
]]> 314 2 https://cdn.slidesharecdn.com/ss_thumbnails/gbjcfeb2010-110410194847-phpapp02-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 Genomics Technologies /slideshow/georgetown-7581552/7581552 georgetown-110410194851-phpapp02
This talk about genomic technologies was given to a Georgetown biostats class in 2010.]]>
This talk about genomic technologies was given to a Georgetown biostats class in 2010.]]> Sun, 10 Apr 2011 19:48:40 GMT /slideshow/georgetown-7581552/7581552 seandavi@slideshare.net(seandavi) Genomics Technologies seandavi This talk about genomic technologies was given to a Georgetown biostats class in 2010. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/georgetown-110410194851-phpapp02-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> This talk about genomic technologies was given to a Georgetown biostats class in 2010.
Genomics Technologies from Sean Davis
]]> 2827 3 https://cdn.slidesharecdn.com/ss_thumbnails/georgetown-110410194851-phpapp02-thumbnail.jpg?width=120&height=120&fit=bounds presentation White http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 Bioc strucvariant seattle_11_09 /slideshow/bioc-strucvariant-seattle1109/7579652 biocstrucvariantseattle1109-110410135735-phpapp02
This is an overview of using bioconductor tools for defining structural variation from next-generation sequencing data.]]>
This is an overview of using bioconductor tools for defining structural variation from next-generation sequencing data.]]> Sun, 10 Apr 2011 13:57:33 GMT /slideshow/bioc-strucvariant-seattle1109/7579652 seandavi@slideshare.net(seandavi) Bioc strucvariant seattle_11_09 seandavi This is an overview of using bioconductor tools for defining structural variation from next-generation sequencing data. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/biocstrucvariantseattle1109-110410135735-phpapp02-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> This is an overview of using bioconductor tools for defining structural variation from next-generation sequencing data.
Bioc strucvariant seattle_11_09 from Sean Davis
]]> 583 1 https://cdn.slidesharecdn.com/ss_thumbnails/biocstrucvariantseattle1109-110410135735-phpapp02-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 https://cdn.slidesharecdn.com/profile-photo-seandavi-48x48.jpg?cb=1729096764 I work broadly in the areas of genomics and bioinformatics of high-throughput data analysis. In addition to data analysis and biologically-driven projects, I have a strong interest in developing software and tools for analyzing and interpreting genomic data and help to lead the Bioconductor project. seandavi.github.io https://cdn.slidesharecdn.com/ss_thumbnails/cmuaidr2019dataengineeringsd1-190516163833-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/lightweight-data-engineering-tools-and-software-to-facilitate-data-reuse-and-data-science/146085321 Lightweight data engin... https://cdn.slidesharecdn.com/ss_thumbnails/repgo7gyskotmp04ooke-signature-fd658d88e67926bb0bb32197ff7fd3a005fcfdec76f369d6febe2ecd2982c9c4-poli-160714110857-thumbnail.jpg?width=320&height=320&fit=bounds seandavi/2016-07-12purduebigdatainomicsseandavis 2016 07 12_purdue_bigd... https://cdn.slidesharecdn.com/ss_thumbnails/rnaseqbasic-160410233954-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/rnaseq-a-highresolution-view-of-the-transcriptome/60727602 RNA-seq: A High-resolu...