Author

Pablo Prieto Barja

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Bioinformatics· 1 Genomics· 1

Signature Assays, Organisms & Methods

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Assay:bulk RNA-seq· 2 Research Focus:cancer & tumor microenvironment· 1 Research Focus:cell type annotation· 1 Research Focus:chromatin & epigenetic regulation· 1 Research Focus:development & morphogenesis· 1 Research Focus:differential expression· 1 Approach:experimental assay· 1 Research Focus:gene regulatory network inference· 1

Frequent Co-Authors

Alessandra BreschiiD· 1 shared Alex Dobin· 1 shared Andrea Tanzer· 1 shared Anil K Kesarwani· 1 shared Anne Deslattes MaysiD· 1 shared Arif Harmanci· 1 shared Baikang Pei· 1 shared Carrie A Davis· 1 shared

Activity by Year

2014-2020 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 29 mutual co-author links

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1 shared paperBioinformatics

Alessandra BreschiORCID

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Author profile →

2 papers

Recent·Most cited

The impact of biological sex on alternative splicing

Guy Karlebach, Diogo F. T. Veiga, Anne Deslattes Mays, Christina Chatzipantsiou, Pablo Prieto Barja, Maria Chatzou, Anil K Kesarwani, Daniel Daniš, Georgios Kararigas, Xingmin Zhang, Joshy George, Robin Steinhaus, Peter Hansen, Dominik Seelow, Julie A. McMurry, , Peter N. Robinson

The paper identifies sex-biased differential alternative splicing across multiple human tissues and links it to gene function and estrogen response.

bioRxiv · Nov 21, 2020 · PreprintGenomics

Enhanced Transcriptome Maps from Multiple Mouse Tissues Reveal Evolutionary Constraint in Gene Expression for Thousands of Genes

Dmitri Pervouchine, Sarah Djebali, Alessandra Breschi, Carrie A Davis, Pablo Prieto Barja, Alex Dobin, Andrea Tanzer, Julien Lagarde, Chris Zaleski, Lei-Hoon See, Meagan Fastuca, Jorg Drenkow, Huaien Wang, Giovanni Bussotti, Baikang Pei, , Thomas R Gingeras

The paper analyzes RNA-seq data from multiple mouse tissues to identify genes with conserved expression patterns across species and cell types, revealing evolutionary constraints in gene expression.

bioRxiv · Oct 30, 2014Bioinformatics