Harold Pimentel
Molecular Biology · 2011–2016
A researcher in the Science corpus: 5 papers; trusts 6 researchers and is trusted by 14 researchers here, as inferred from the citation graph.
Subfields
- Molecular Biology — 81 citations into it; #3,589 of 17,773 by trust here, #1,232 by citations
- Artificial Intelligence — 7 citations into it
Whom Harold Pimentel trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Mark D. Robinson
- Gordon K. Smyth
- Cole Trapnell
- Charlotte Soneson
- Charity W. Law
- Nicolas L. Bray
- Ben Langmead
- Michael I. Love
- John P. Buonaccorsi
- Hui Jiang
Who trusts Harold Pimentel overall
- Brett K. Beaulieu-Jones
- K. Van den Berge
- Casey S. Greene
- Kimberly R. Kukurba
- Steven X. Ge
- Bo Li
- Brian J. Haas
- Michael I. Love
- Rob Patro
- Katharina M. Hembach
Papers from Harold Pimentel's perspective
Ordered by how strongly the researchers Harold Pimentel trusts endorse each paper. Same corpus, a different order for every researcher.
- baySeq: Empirical Bayesian methods for identifying differential expression in sequence count data (BMC Bioinformatics)
- RNA-seq: an assessment of technical reproducibility and comparison with gene expression arrays. (Genome Research)
- Ultrafast and memory-efficient alignment of short DNA sequences to the human genome (Genome Biology)
- Detecting differential usage of exons from RNA-seq data (Genome Research)
- Moderated statistical tests for assessing differences in tag abundance (Bioinform.)
- Spontaneous mapping of number and space in adults and young children (Cognition)
- The Transcriptional Landscape of the Yeast Genome Defined by RNA Sequencing (Science)
- Genome-Wide Mapping of in Vivo Protein-DNA Interactions (Science)
- voom: precision weights unlock linear model analysis tools for RNA-seq read counts (Genome Biology)
- EBSeq: an empirical Bayes hierarchical model for inference in RNA-seq experiments (Bioinform.)
Their papers
- Differential gene and transcript expression analysis of RNA-seq experiments with TopHat and Cufflinks (2012) — 11,804 citations
- Near-optimal probabilistic RNA-seq quantification (2016) — 8,658 citations
- TopHat2: accurate alignment of transcriptomes in the presence of insertions, deletions and gene fusions (2013) — 12,186 citations
- Identification of novel transcripts in annotated genomes using RNA-Seq (2011) — 991 citations
- Differential analysis of RNA-seq incorporating quantification uncertainty (2016) — 1,365 citations