Pedro Madrigal
Molecular Biology · 2016
A researcher in the Science corpus: 1 paper; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Molecular Biology — 99 citations into it
Whom Pedro Madrigal trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Mark D. Robinson
- Adam Roberts
- Cole Trapnell
- Ben Langmead
- Gordon K. Smyth
- Jun Li
- Sonia Tarazona
- William Stafford Noble
- Michael J. Axtell
- Simon Anders
Papers from Pedro Madrigal's perspective
Ordered by how strongly the researchers Pedro Madrigal trusts endorse each paper. Same corpus, a different order for every researcher.
- Ultrafast and memory-efficient alignment of short DNA sequences to the human genome (Genome Biology)
- Mapping and quantifying mammalian transcriptomes by RNA-Seq (Nature Methods)
- edgeR: a Bioconductor package for differential expression analysis of digital gene expression data (Bioinform.)
- Evaluation of statistical methods for normalization and differential expression in mRNA-Seq experiments (BMC Bioinformatics)
- A scaling normalization method for differential expression analysis of RNA-seq data (Genome Biology)
- Understanding mechanisms underlying human gene expression variation with RNA sequencing (Nature)
- baySeq: Empirical Bayesian methods for identifying differential expression in sequence count data (BMC Bioinformatics)
- Moderated statistical tests for assessing differences in tag abundance (Bioinform.)
- Detecting differential usage of exons from RNA-seq data (Genome Research)
- Differential gene and transcript expression analysis of RNA-seq experiments with TopHat and Cufflinks (Nature Protocols)
Their papers
- A survey of best practices for RNA-seq data analysis (2016) — 2,568 citations