Gordon D Brown
Molecular Biology · with Kutter · 2010–2016
A researcher in the Science corpus: 3 papers; trusts 8 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Molecular Biology — 34 citations into it
Whom Gordon D Brown trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Gordon D Brown's perspective
Ordered by how strongly the researchers Gordon D Brown trusts endorse each paper. Same corpus, a different order for every researcher.
- Differential expression analysis of multifactor RNA-Seq experiments with respect to biological variation (Nucleic Acids Research)
- Moderated statistical tests for assessing differences in tag abundance (Bioinform.)
- Integrating diverse genomic data using gene sets (Genome Biology)
- Measuring reproducibility of high-throughput experiments
- Model-based Analysis of ChIP-Seq (MACS)
- Evolution's cauldron: Duplication, deletion, and rearrangement in the mouse and human genomes (Proceedings of the National Academy of Sciences of the United States of America)
- Controlling the false discovery rate: a practical and powerful approach to multiple testing
- From the Cover: Gene set enrichment analysis: A knowledge-based approach for interpreting genome-wide expression profiles
- baySeq: Empirical Bayesian methods for identifying differential expression in sequence count data (BMC Bioinformatics)
- Mapping and quantifying mammalian transcriptomes by RNA-Seq (Nature Methods)
Their papers
- Five vertebrate ChIP-seq reveals the evolutionary dynamics of transcription factor binding (2010) — 758 citations
- DiBind : Dierential binding analysis of ChIP-Seq peak data (2016) — 150 citations
- Pol III binding in six mammalian genomes shows high conservation among amino acid isotypes, despite divergence in tRNA gene usage (2011) — 86 citations