Stephen B. Montgomery

Molecular Biology · 2003–2020

A researcher in the Science corpus: 16 papers; trusts 44 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Stephen B. Montgomery trusts overall

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

  1. Gordon K. Smyth
  2. Adam Roberts
  3. Cole Trapnell
  4. Andrey A. Shabalin
  5. Mark D. Robinson
  6. John S. Mattick
  7. Ana Kozomara
  8. G. Stefani
  9. Zhong Wang
  10. John C. Marioni

Who trusts Stephen B. Montgomery overall

  1. Jeffrey T. Leek
  2. Kimberly R. Kukurba
  3. Lucas D. Ward
  4. Y. Surget-Groba
  5. Davis J. McCarthy
  6. Alicia Oshlack
  7. Xiaobei Zhou
  8. Dmitri D. Pervouchine
  9. Halit Ongen
  10. Mark D. Robinson

Papers from Stephen B. Montgomery's perspective

Ordered by how strongly the researchers Stephen B. Montgomery 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. Mapping and quantifying mammalian transcriptomes by RNA-Seq (Nature Methods)
  3. edgeR: a Bioconductor package for differential expression analysis of digital gene expression data (Bioinform.)
  4. Linear Models and Empirical Bayes Methods for Assessing Differential Expression in Microarray Experiments (Statistical Applications in Genetics and Molecular Biology)
  5. Accurate Whole Human Genome Sequencing using Reversible Terminator Chemistry (Nature)
  6. Transcriptome genetics using second generation sequencing in a Caucasian population (Nature)
  7. voom: precision weights unlock linear model analysis tools for RNA-seq read counts (Genome Biology)
  8. Accounting for technical noise in single-cell RNA-seq experiments (Nature Methods)
  9. An expanded view of complex traits: from polygenic to omnigenic (Cell)
  10. Differential gene and transcript expression analysis of RNA-seq experiments with TopHat and Cufflinks (Nature Protocols)

Their papers