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Jesse Gillis

Showing results (31-40 of 102) with videos related to

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Nucleic Acids Research|April 22, 2022
Coexpression reveals conserved gene programs that co-vary with cell type across kingdomsMegan Crow, Hamsini Suresh, John Lee, et al.
Genome Research|March 8, 2022
Pan-human consensus genome significantly improves the accuracy of RNA-seq analysesBenjamin Kaminow, Sara Ballouz, Jesse Gillis, et al.
Bioinformatics (Oxford, England)|December 21, 2016
EGAD: ultra-fast functional analysis of gene networksSara Ballouz, Melanie Weber, Paul Pavlidis, et al.
Biorxiv : the Preprint Server for Biology|March 10, 2025
Cell Type-Agnostic Transcriptomic Signatures Enable Uniform Comparisons of NeurodevelopmentSridevi Venkatesan, Jonathan M Werner, Yun Li, et al.
Developmental Cell|August 1, 2022
Variability of cross-tissue X-chromosome inactivation characterizes timing of human embryonic lineage specification eventsJonathan M Werner, Sara Ballouz, John Hover, et al.
Nature Protocols|July 8, 2021
Scaling up reproducible research for single-cell transcriptomics using MetaNeighborStephan Fischer, Megan Crow, Benjamin D Harris, et al.
Nucleic Acids Research|May 3, 2018
The fractured landscape of RNA-seq alignment: the default in our STARsSara Ballouz, Alexander Dobin, Thomas R Gingeras, et al.
Cell Systems|May 20, 2021
Single-cell co-expression analysis reveals that transcriptional modules are shared across cell types in the brainBenjamin D Harris, Megan Crow, Stephan Fischer, et al.
Plos Biology|April 15, 2026
Cell type-agnostic transcriptomic signatures enable uniform comparisons of neural maturationSridevi Venkatesan, Jonathan M Werner, Yun Li, et al.
Proceedings of the National Academy of Sciences of the United States of America|March 9, 2019
Predictability of human differential gene expressionMegan Crow, Nathaniel Lim, Sara Ballouz, et al.
Pageof 11

Showing results (31-40 of 102) with videos related to

Sort By:
Pageof 11
Nucleic Acids Research|April 22, 2022
Coexpression reveals conserved gene programs that co-vary with cell type across kingdomsMegan Crow, Hamsini Suresh, John Lee, et al.
Genome Research|March 8, 2022
Pan-human consensus genome significantly improves the accuracy of RNA-seq analysesBenjamin Kaminow, Sara Ballouz, Jesse Gillis, et al.
Bioinformatics (Oxford, England)|December 21, 2016
EGAD: ultra-fast functional analysis of gene networksSara Ballouz, Melanie Weber, Paul Pavlidis, et al.
Biorxiv : the Preprint Server for Biology|March 10, 2025
Cell Type-Agnostic Transcriptomic Signatures Enable Uniform Comparisons of NeurodevelopmentSridevi Venkatesan, Jonathan M Werner, Yun Li, et al.
Developmental Cell|August 1, 2022
Variability of cross-tissue X-chromosome inactivation characterizes timing of human embryonic lineage specification eventsJonathan M Werner, Sara Ballouz, John Hover, et al.
Nature Protocols|July 8, 2021
Scaling up reproducible research for single-cell transcriptomics using MetaNeighborStephan Fischer, Megan Crow, Benjamin D Harris, et al.
Nucleic Acids Research|May 3, 2018
The fractured landscape of RNA-seq alignment: the default in our STARsSara Ballouz, Alexander Dobin, Thomas R Gingeras, et al.
Cell Systems|May 20, 2021
Single-cell co-expression analysis reveals that transcriptional modules are shared across cell types in the brainBenjamin D Harris, Megan Crow, Stephan Fischer, et al.
Plos Biology|April 15, 2026
Cell type-agnostic transcriptomic signatures enable uniform comparisons of neural maturationSridevi Venkatesan, Jonathan M Werner, Yun Li, et al.
Proceedings of the National Academy of Sciences of the United States of America|March 9, 2019
Predictability of human differential gene expressionMegan Crow, Nathaniel Lim, Sara Ballouz, et al.
Pageof 11