David N. Cooper

Molecular Biology · 1988–2020

A researcher in the Science corpus: 30 papers; trusts 35 researchers and is trusted by 31 researchers here, as inferred from the citation graph.

Subfields

• Molecular Biology — 394 citations into it; #2,425 of 17,773 by trust here, #920 by citations
• Genetics — 279 citations into it; #532 of 6,854 by trust here, #142 by citations
• Computational Biology & Bioinformatics — 74 citations into it
• Artificial Intelligence — 45 citations into it
• Cancer Research — 42 citations into it; #364 of 1,780 by trust here, #392 by citations
• Evaluation & Benchmarks — 16 citations into it
• Computational Theory and Mathematics — 11 citations into it
• Statistical Learning Theory — 7 citations into it

Whom David N. Cooper trusts overall

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

1. Pauline Crystal Ng
2. Sean R. Eddy
3. Peter D. Stenson
4. Steven Henikoff
5. Emidio Capriotti
6. J. Platt
7. B. Reva
8. Yana Bromberg
9. Matthew E. Mort
10. Hashem A. Shihab

Who trusts David N. Cooper overall

1. Peter D. Stenson
2. Xiaoming Liu
3. Paul D. Thomas
4. Pauline Crystal Ng
5. Philipp Rentzsch
6. Hashem A. Shihab
7. Matthew E. Mort
8. Abhishek Niroula
9. Emidio Capriotti
10. Dominik G. Grimm

Papers from David N. Cooper's perspective

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

1. The Human Gene Mutation Database: 2008 update
2. Predicting deleterious amino acid substitutions.
3. Basic local alignment search tool.
4. Predicting the effects of amino acid substitutions on protein function.
5. Gapped BLAST and PSI-BLAST: a new generation of protein database search programs.
6. PANTHER: a library of protein families and subfamilies indexed by function. (Genome Research)
7. Performance of mutation pathogenicity prediction methods on missense variants (Human Mutation)
8. Automated inference of molecular mechanisms of disease from amino acid substitutions
9. Prediction of deleterious human alleles.
10. Hidden Markov models in computational biology. Applications to protein modeling.

Their papers

• The Human Gene Mutation Database: 2008 update (2009) — 907 citations
• Biological and Functional Relevance of CASP Predictions (2017) — 7 citations
• Genome sequence of the Brown Norway rat yields insights into mammalian evolution (2004) — 2,140 citations
• A systematic survey of loss-of-function variants in human protein-coding genes (2012) — 1,227 citations
• Evolutionary and Biomedical Insights from the Rhesus Macaque Genome (2007) — 1,385 citations
• The human gene damage index as a gene-level approach to prioritizing exome variants (2015) — 236 citations
• FATHMM-XF: accurate prediction of pathogenic point mutations via extended features (2017) — 417 citations
• Automated inference of molecular mechanisms of disease from amino acid substitutions (2009) — 811 citations
• Predicting the Functional, Molecular, and Phenotypic Consequences of Amino Acid Substitutions using Hidden Markov Models (2012) — 1,269 citations
• Identifying Mendelian disease genes with the Variant Effect Scoring Tool (2013) — 530 citations
• Human Gene Mutation Database (HGMD®): 2003 update (2003) — 1,857 citations
• Assessing the Pathogenicity of Insertion and Deletion Variants with the Variant Effect Scoring Tool (VEST‐Indel) (2015) — 138 citations
• Inferring the molecular and phenotypic impact of amino acid variants with MutPred2 (2020) — 618 citations
• MutationTaster2: mutation prediction for the deep-sequencing age (2014) — 3,513 citations
• The Evaluation of Tools Used to Predict the Impact of Missense Variants Is Hindered by Two Types of Circularity (2015) — 342 citations
• An integrative approach to predicting the functional effects of non-coding and coding sequence variation (2015) — 631 citations
• The Human Gene Mutation Database: towards a comprehensive repository of inherited mutation data for medical research, genetic diagnosis and next-generation sequencing studies (2017) — 1,216 citations
• Gene conversion: mechanisms, evolution and human disease (2007) — 645 citations
• Ranking non-synonymous single nucleotide polymorphisms based on disease concepts (2014) — 207 citations
• The Human Gene Mutation Database (HGMD®): optimizing its use in a clinical diagnostic or research setting (2020) — 670 citations