Sonia Tarazona

Molecular Biology · 2011–2016

A researcher in the Science corpus: 5 papers; trusts 25 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Molecular Biology — 157 citations into it; #12,841 of 17,773 by trust here, #7,496 by citations
• Cancer Research — 32 citations into it; #1,684 of 1,780 by trust here, #1,041 by citations
• Genetics — 24 citations into it

Whom Sonia Tarazona trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Mark D. Robinson
2. James H. Bullard
3. Alicia Oshlack
4. Simon Anders
5. Adam Roberts
6. Thomas J. Hardcastle
7. Jun Li
8. Davide Risso
9. Charlotte Soneson
10. Robert Tibshirani

Who trusts Sonia Tarazona overall

1. Ana Conesa
2. Kimberly R. Kukurba
3. Charlotte Soneson
4. María José Nueda
5. Fatemeh Seyednasrollah
6. Jianqiang Sun
7. Pedro Madrigal
8. Cole Trapnell
9. Intawat Nookaew
10. Stephen B. Montgomery

Papers from Sonia Tarazona's perspective

Ordered by how strongly the researchers Sonia Tarazona trusts endorse each paper. Same corpus, a different order for every researcher.

1. Ultrafast and memory-efficient alignment of short DNA sequences to the human genome (Genome Biology)
2. Evaluation of statistical methods for normalization and differential expression in mRNA-Seq experiments (BMC Bioinformatics)
3. A scaling normalization method for differential expression analysis of RNA-seq data (Genome Biology)
4. edgeR: a Bioconductor package for differential expression analysis of digital gene expression data (Bioinform.)
5. RNA-Seq: a revolutionary tool for transcriptomics (Nature reviews genetics)
6. Mapping and quantifying mammalian transcriptomes by RNA-Seq (Nature Methods)
7. RNA-seq: an assessment of technical reproducibility and comparison with gene expression arrays. (Genome Research)
8. Understanding mechanisms underlying human gene expression variation with RNA sequencing (Nature)
9. Moderated statistical tests for assessing differences in tag abundance (Bioinform.)
10. baySeq: Empirical Bayesian methods for identifying differential expression in sequence count data (BMC Bioinformatics)

Their papers

• Differential expression in RNA-seq: a matter of depth. (2011) — 1,522 citations
• A survey of best practices for RNA-seq data analysis (2016) — 2,568 citations
• Next maSigPro: updating maSigPro bioconductor package for RNA-seq time series (2014) — 331 citations
• Data quality aware analysis of differential expression in RNA-seq with NOISeq R/Bioc package (2015) — 729 citations
• Qualimap: evaluating next-generation sequencing alignment data (2012) — 1,011 citations