Rob Patro
Molecular Biology · bioRxiv · 2013–2019
A researcher in the Science corpus: 6 papers; trusts 26 researchers and is trusted by 1 researcher here, as inferred from the citation graph.
Subfields
- Molecular Biology — 143 citations into it; #16,638 of 17,773 by trust here, #5,137 by citations
- Cancer Research — 27 citations into it; #1,568 of 1,780 by trust here, #823 by citations
- Statistics and Probability — 22 citations into it
- Genetics — 20 citations into it
- Artificial Intelligence — 12 citations into it
- Plant Science — 9 citations into it
- Management Science and Operations Research — 6 citations into it
Whom Rob Patro trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Adam Roberts
- Radford M. Neal
- Bo Li
- Lior S. Pachter
- Ben Langmead
- R. Varadhan
- Günter P. Wagner
- Kim D. Pruitt
- Nicolas L. Bray
- Charlotte Soneson
Who trusts Rob Patro overall
- Andrzej Zielezinski
- Todd J. Treangen
- Luke Zappia
- Shanrong Zhao
- Philip Thomas Lanken Conradsen Clausen
- K. Van den Berge
- Yunshun Chen
- Sayed Mohammad Ebrahim Sahraeian
- Maren Büttner
- Michael I. Love
Papers from Rob Patro's perspective
Ordered by how strongly the researchers Rob Patro trusts endorse each paper. Same corpus, a different order for every researcher.
- RNA-seq: an assessment of technical reproducibility and comparison with gene expression arrays. (Genome Research)
- Mapping and quantifying mammalian transcriptomes by RNA-Seq (Nature Methods)
- Spontaneous mapping of number and space in adults and young children (Cognition)
- Detecting differential usage of exons from RNA-seq data (Genome Research)
- RNA-Seq gene expression estimation with read mapping uncertainty (Bioinform.)
- Statistical inferences for isoform expression in RNA-Seq (Bioinform.)
- Controlling the false discovery rate: a practical and powerful approach to multiple testing
- A scaling normalization method for differential expression analysis of RNA-seq data (Genome Biology)
- Moderated statistical tests for assessing differences in tag abundance (Bioinform.)
- Improving RNA-Seq expression estimates by correcting for fragment bias (Genome Biology)
Their papers
- Salmon: fast and bias-aware quantification of transcript expression using dual-phase inference (2017) — 8,742 citations
- Sailfish enables alignment-free isoform quantification from RNA-seq reads using lightweight algorithms (2013) — 632 citations
- Bioconda: sustainable and comprehensive software distribution for the life sciences (2018) — 1,435 citations
- Tximeta: Reference sequence checksums for provenance identification in RNA-seq (2019) — 305 citations
- RNA Sequencing Data: Hitchhiker's Guide to Expression Analysis (2018) — 116 citations
- TransRate: reference-free quality assessment of de novo transcriptome assemblies (2015) — 762 citations