Author

Rafael A Irizarry

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· 2 Genomics· 1

Signature Assays, Organisms & Methods

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Assay:bulk RNA-seq· 3 Research Focus:differential expression· 3 Approach:statistical model· 3 Research Focus:benchmarking· 1 Approach:deep learning· 1 Approach:experimental assay· 1 Organism:human· 1 Research Focus:variant calling· 1

Frequent Co-Authors

John B Hogenesch· 2 shared Michael I Love· 2 shared Abhinav NelloreiD· 1 shared Alyssa C Frazee· 1 shared Andrew E Jaffe· 1 shared Angel Pizarro· 1 shared Ben LangmeadiD· 1 shared Christopher WilksiD· 1 shared

Activity by Year

2014-2016 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 22 mutual co-author links

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2 shared papersBioinformatics

John B Hogenesch

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3 papers

Recent·Most cited

Flexible expressed region analysis for RNA-seq with derfinder

Leonardo Collado Torres, Abhinav Nellore, Alyssa C Frazee, Christopher Wilks, Michael I Love, Ben Langmead, Rafael A Irizarry, Jeffrey Leek, Andrew E Jaffe

The paper introduces derfinder, a tool for RNA-seq analysis that identifies differentially expressed regions at single base resolution without relying on gene annotations, showing it works well with incomplete annotations and large datasets.

Nucleic Acids Research · Sep 29, 2016Peer-reviewedBioinformatics

Modeling of RNA-seq fragment sequence bias reduces systematic errors in transcript abundance estimation

Michael I Love, John B Hogenesch, Rafael A Irizarry

The paper introduces a method to correct RNA-seq transcript abundance estimates by modeling fragment sequence bias, reducing false positives related to alternative isoform usage.

bioRxiv · Aug 29, 2015Bioinformatics

IVT-seq reveals extreme bias in RNA-sequencing

Nicholas F Lahens, Ibrahim Halil Kavakli, Ray Zhang, Katharina Hayer, Michael B Black, Hannah Dueck, Angel Pizarro, Junhyong Kim, Rafael A Irizarry, Russell S Thomas, Gregory R Grant, John B Hogenesch

IVT-seq identifies significant technical biases in RNA-seq library preparation and sequencing, revealing coverage inconsistencies and rRNA depletion as major contributors.

Genome Biology · Jun 30, 2014Peer-reviewedGenomics