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Cell Reports
|
November 11, 2020
Rapid and Scalable Profiling of Nascent RNA with fastGRO
Elisa Barbieri, Connor Hill, Mathieu Quesnel-Vallières, et al.
Genome Biology
|
May 17, 2022
Identifying common transcriptome signatures of cancer by interpreting deep learning models
Anupama Jha, Mathieu Quesnel-Vallières, David Wang, et al.
Biorxiv : the Preprint Server for Biology
|
April 27, 2026
Detection of a sequence feature for recursive splicing
Bixuan Wang, Kevin Yang, Yoseph Barash, et al.
Proceedings of the National Academy of Sciences of the United States of America
|
September 9, 2004
Sfp1 is a stress- and nutrient-sensitive regulator of ribosomal protein gene expression
Rosa M Marion, Aviv Regev, Eran Segal, et al.
Nature Communications
|
January 4, 2023
A Bayesian model for unsupervised detection of RNA splicing based subtypes in cancers
David Wang, Mathieu Quesnel-Vallieres, San Jewell, et al.
Biorxiv : the Preprint Server for Biology
|
September 16, 2024
A Deep Dive into Statistical Modeling of RNA Splicing QTLs Reveals New Variants that Explain Neurodegenerative Disease
David Wang, Matthew R Gazzara, San Jewell, et al.
Genome Research
|
May 18, 2017
Ancient antagonism between CELF and RBFOX families tunes mRNA splicing outcomes
Matthew R Gazzara, Michael J Mallory, Renat Roytenberg, et al.
Genes & Development
|
October 16, 2025
The exon junction complex coordinates the cotranscriptional inclusion of blocks of neighboring exons
Alexandra Bergfort, Jackson M Gordon, Matthew R Gazzara, et al.
Nature
|
May 7, 2010
Deciphering the splicing code
Yoseph Barash, John A Calarco, Weijun Gao, et al.
Genome Biology
|
October 26, 2013
AVISPA: a web tool for the prediction and analysis of alternative splicing
Yoseph Barash, Jorge Vaquero-Garcia, Juan González-Vallinas, et al.
Page
of 9
Search research articles
Search
Showing results (21-30 of 84) with videos related to
Sort By:
Page
of 9
Cell Reports
|
November 11, 2020
Rapid and Scalable Profiling of Nascent RNA with fastGRO
Elisa Barbieri, Connor Hill, Mathieu Quesnel-Vallières, et al.
Genome Biology
|
May 17, 2022
Identifying common transcriptome signatures of cancer by interpreting deep learning models
Anupama Jha, Mathieu Quesnel-Vallières, David Wang, et al.
Biorxiv : the Preprint Server for Biology
|
April 27, 2026
Detection of a sequence feature for recursive splicing
Bixuan Wang, Kevin Yang, Yoseph Barash, et al.
Proceedings of the National Academy of Sciences of the United States of America
|
September 9, 2004
Sfp1 is a stress- and nutrient-sensitive regulator of ribosomal protein gene expression
Rosa M Marion, Aviv Regev, Eran Segal, et al.
Nature Communications
|
January 4, 2023
A Bayesian model for unsupervised detection of RNA splicing based subtypes in cancers
David Wang, Mathieu Quesnel-Vallieres, San Jewell, et al.
Biorxiv : the Preprint Server for Biology
|
September 16, 2024
A Deep Dive into Statistical Modeling of RNA Splicing QTLs Reveals New Variants that Explain Neurodegenerative Disease
David Wang, Matthew R Gazzara, San Jewell, et al.
Genome Research
|
May 18, 2017
Ancient antagonism between CELF and RBFOX families tunes mRNA splicing outcomes
Matthew R Gazzara, Michael J Mallory, Renat Roytenberg, et al.
Genes & Development
|
October 16, 2025
The exon junction complex coordinates the cotranscriptional inclusion of blocks of neighboring exons
Alexandra Bergfort, Jackson M Gordon, Matthew R Gazzara, et al.
Nature
|
May 7, 2010
Deciphering the splicing code
Yoseph Barash, John A Calarco, Weijun Gao, et al.
Genome Biology
|
October 26, 2013
AVISPA: a web tool for the prediction and analysis of alternative splicing
Yoseph Barash, Jorge Vaquero-Garcia, Juan González-Vallinas, et al.
Page
of 9