Julian Gough

Molecular Biology · 2002–2022

A researcher in the Science corpus: 27 papers; trusts 31 researchers and is trusted by 14 researchers here, as inferred from the citation graph.

Subfields

• Molecular Biology — 516 citations into it; #3,090 of 17,773 by trust here, #441 by citations
• Computational Biology & Bioinformatics — 99 citations into it
• Materials Chemistry — 87 citations into it; #10,945 of 11,513 by trust here, #3,270 by citations
• Spectroscopy — 71 citations into it; #386 of 1,674 by trust here, #309 by citations
• Genetics — 66 citations into it; #6,392 of 6,854 by trust here, #1,927 by citations
• Evaluation & Benchmarks — 18 citations into it
• Probabilistic & Bayesian Methods — 5 citations into it

Whom Julian Gough trusts overall

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

1. Kevin J. Karplus
2. Sean R. Eddy
3. Stephen F. Altschul
4. Alexey G. Murzin
5. Steven E. Brenner
6. Anders Krogh
7. Richard Hughey
8. Pauline Crystal Ng
9. Robert D. Finn
10. Thomas L. Madden

Who trusts Julian Gough overall

1. Sean R. Eddy
2. Hashem A. Shihab
3. David R. Fidler
4. Marc A. Martí-Renom
5. B. Feng
6. Steve L. Johnson
7. Peter D. Stenson
8. Xiaoming Liu
9. Sarah E. Murphy
10. Matthew E. Mort

Papers from Julian Gough's perspective

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

1. Gapped BLAST and PSI-BLAST: a new generation of protein database search programs.
2. Hidden Markov models in computational biology. Applications to protein modeling.
3. Basic local alignment search tool.
4. The Protein Data Bank.
5. Pfam: clans, web tools and services
6. SCOP: a structural classification of proteins database for the investigation of sequences and structures.
7. Predicting transmembrane protein topology with a hidden Markov model: application to complete genomes.
8. Assignment of homology to genome sequences using a library of hidden Markov models that represent all proteins of known structure.
9. The Pfam protein families database
10. SCOP database in 2004: refinements integrate structure and sequence family data

Their papers

• A large-scale evaluation of computational protein function prediction (2013) — 1,002 citations
• InterPro, progress and status in 2005 (2004) — 559 citations
• InterPro: the integrative protein signature database (2008) — 2,089 citations
• The Transcriptional Landscape of the Mammalian Genome (2005) — 3,572 citations
• The InterPro protein families database: the classification resource after 15 years (2014) — 1,300 citations
• InterPro in 2017—beyond protein family and domain annotations (2016) — 1,390 citations
• InterPro in 2019: improving coverage, classification and access to protein sequence annotations (2018) — 1,309 citations
• New developments in the InterPro database (2007) — 542 citations
• Analysis of the mouse transcriptome based on functional annotation of 60,770 full-length cDNAs (2002) — 1,597 citations
• SUPERFAMILY: HMMs representing all proteins of known structure. SCOP sequence searches, alignments and genome assignments (2002) — 294 citations
• Genome3D: exploiting structure to help users understand their sequences (2014) — 47 citations
• A comparison of profile hidden Markov model procedures for remote homology detection. (2002) — 174 citations
• SUPERFAMILY—sophisticated comparative genomics, data mining, visualization and phylogeny (2008) — 474 citations
• Classification of Intrinsically Disordered Regions and Proteins (2014) — 1,960 citations
• D2P2: database of disordered protein predictions (2012) — 668 citations
• The SCOP database in 2020: expanded classification of representative family and superfamily domains of known protein structures (2019) — 318 citations
• Predicting the Functional, Molecular, and Phenotypic Consequences of Amino Acid Substitutions using Hidden Markov Models (2012) — 1,269 citations
• An atlas of combinatorial transcriptional regulation in mouse and man (2010) — 688 citations
• The InterPro protein families and domains database: 20 years on (2020) — 1,852 citations
• A promoter-level mammalian expression atlas (2014) — 1,941 citations