Hashem A. Shihab
Genetics · 2012–2018
A researcher in the Science corpus: 7 papers; trusts 10 researchers and is trusted by 1 researcher here, as inferred from the citation graph.
Subfields
- Genetics — 101 citations into it; #6,377 of 6,854 by trust here, #797 by citations
- Molecular Biology — 81 citations into it; #16,714 of 17,773 by trust here, #4,912 by citations
- Statistical Learning Theory — 6 citations into it
Whom Hashem A. Shihab trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Sean R. Eddy
- Pauline Crystal Ng
- J. Platt
- Emidio Capriotti
- Erik L. L. Sonnhammer
- Steven Henikoff
- Huaiyu Zhu
- Peter D. Stenson
- Heng Li
- J. Thusberg
Who trusts Hashem A. Shihab overall
- B. Feng
- Peter D. Stenson
- Xiaoming Liu
- Matthew E. Mort
- Nawar Malhis
- C. Yates
- Laurent Gil
- David N. Cooper
- Julian Gough
- Jimin Pei
Papers from Hashem A. Shihab's perspective
Ordered by how strongly the researchers Hashem A. Shihab trusts endorse each paper. Same corpus, a different order for every researcher.
- Gapped BLAST and PSI-BLAST: a new generation of protein database search programs.
- Basic local alignment search tool.
- Predicting deleterious amino acid substitutions.
- Human non-synonymous SNPs: server and survey. (Nucleic Acids Research)
- The Human Gene Mutation Database: 2008 update
- Hidden Markov models in computational biology. Applications to protein modeling.
- Predicting the effects of amino acid substitutions on protein function.
- PANTHER: a library of protein families and subfamilies indexed by function. (Genome Research)
- Performance of mutation pathogenicity prediction methods on missense variants (Human Mutation)
- Automated inference of molecular mechanisms of disease from amino acid substitutions
Their papers
- FATHMM-XF: accurate prediction of pathogenic point mutations via extended features (2017) — 417 citations
- Predicting the Functional, Molecular, and Phenotypic Consequences of Amino Acid Substitutions using Hidden Markov Models (2012) — 1,269 citations
- The UK10K project identifies rare variants in health and disease (2015) — 1,063 citations
- An integrative approach to predicting the functional effects of non-coding and coding sequence variation (2015) — 631 citations
- Ranking non-synonymous single nucleotide polymorphisms based on disease concepts (2014) — 207 citations
- The MR-Base platform supports systematic causal inference across the human phenome (2018) — 6,483 citations
- Improved imputation of low-frequency and rare variants using the UK10K haplotype reference panel (2015) — 384 citations