M. Chapman

Molecular Biology · with Bourne · 2015

A researcher in the Science corpus: 1 paper; trusts 8 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom M. Chapman trusts overall

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

  1. Mark D. Robinson
  2. Daniel R. Zerbino

Papers from M. Chapman's perspective

Ordered by how strongly the researchers M. Chapman 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. RNA-Seq: a revolutionary tool for transcriptomics (Nature reviews genetics)
  4. RNA-seq: an assessment of technical reproducibility and comparison with gene expression arrays. (Genome Research)
  5. Velvet: algorithms for de novo short read assembly using de Bruijn graphs.
  6. edgeR: a Bioconductor package for differential expression analysis of digital gene expression data (Bioinform.)
  7. Spontaneous mapping of number and space in adults and young children (Cognition)
  8. Trinity: reconstructing a full-length transcriptome without a genome from RNA-Seq data (Nature Biotechnology)
  9. Small-sample estimation of negative binomial dispersion, with applications to SAGE data. (Biostatistics)
  10. Understanding mechanisms underlying human gene expression variation with RNA sequencing (Nature)

Their papers