Daniel J. Gaffney

Molecular Biology · 2012–2020

A researcher in the Science corpus: 3 papers; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Molecular Biology — 123 citations into it

Whom Daniel J. Gaffney trusts

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

1. Cole Trapnell (in Molecular Biology)
2. Steven L. Salzberg (in Molecular Biology)

Papers from Daniel J. Gaffney's perspective

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

1. Mapping and quantifying mammalian transcriptomes by RNA-Seq (Nature Methods)
2. Ultrafast and memory-efficient alignment of short DNA sequences to the human genome (Genome Biology)
3. edgeR: a Bioconductor package for differential expression analysis of digital gene expression data (Bioinform.)
4. A scaling normalization method for differential expression analysis of RNA-seq data (Genome Biology)
5. Evaluation of statistical methods for normalization and differential expression in mRNA-Seq experiments (BMC Bioinformatics)
6. baySeq: Empirical Bayesian methods for identifying differential expression in sequence count data (BMC Bioinformatics)
7. Moderated statistical tests for assessing differences in tag abundance (Bioinform.)
8. Fast gapped-read alignment with Bowtie 2
9. Detecting differential usage of exons from RNA-seq data (Genome Research)
10. A comparison of methods for differential expression analysis of RNA-seq data (BMC Bioinformatics)

Their papers

• A survey of best practices for RNA-seq data analysis (2016) — 2,568 citations
• DNaseI sensitivity QTLs are a major determinant of human expression variation (2012) — 674 citations
• souporcell: Robust clustering of single cell RNAseq by genotype without reference genotypes (2020) — 380 citations