N. Pierce

Molecular Biology · with Hickey · 2019

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

Whom N. Pierce trusts overall

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

  1. Gordon K. Smyth

Papers from N. Pierce's perspective

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

  1. HTSeq—a Python framework to work with high-throughput sequencing data (bioRxiv)
  2. Software for Computing and Annotating Genomic Ranges (PLoS Comput. Biol.)
  3. Linear Models and Empirical Bayes Methods for Assessing Differential Expression in Microarray Experiments (Statistical Applications in Genetics and Molecular Biology)
  4. featureCounts: an efficient general purpose program for assigning sequence reads to genomic features (Bioinform.)
  5. Differential analyses for RNA-seq: transcript-level estimates improve gene-level inferences
  6. GENCODE reference annotation for the human and mouse genomes (Nucleic Acids Res.)
  7. Orchestrating high-throughput genomic analysis with Bioconductor (Nature Methods)
  8. voom: precision weights unlock linear model analysis tools for RNA-seq read counts (Genome Biology)
  9. Detecting differential usage of exons from RNA-seq data (Genome Research)
  10. A scaling normalization method for differential expression analysis of RNA-seq data (Genome Biology)

Their papers