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Julian Gough

  1. InterPro in 2022
    2022/11/09 by Typhaine Paysan‐Lafosse, Typhaine Paysan-Lafosse, Matthias Blum +36 · 112 citations
    Biochemistry, Genetics and Molecular Biology · Materials Science · #Enzyme Structure and Function #Machine Learning in Bioinformatics #Protein Structure and Dynamics
  2. The InterPro protein families and domains database: 20 years on
    2020/10/23 by Matthias Blum, Hsin-Yu Chang, Sara Chuguransky +30 · 80 citations
    Biochemistry, Genetics and Molecular Biology · Chemistry · Materials Science · #Advanced Proteomics Techniques and Applications #Enzyme Structure and Function #Genomics and Phylogenetic Studies
  3. Predicting the Functional, Molecular, and Phenotypic Consequences of Amino Acid Substitutions using Hidden Markov Models
    2012/10/03 by Hashem A. Shihab, Julian Gough, David N. Cooper +8 · 9 citations
    Biochemistry, Genetics and Molecular Biology · #Genomics and Phylogenetic Studies #Genomics and Rare Diseases #RNA and protein synthesis mechanisms
  4. A daily-updated tree of (sequenced) life as a reference for genome research
    2013/06/18 by Hai Fang, Matt E. Oates, Ralph Pethica +7 · 2 citations
    Biochemistry, Genetics and Molecular Biology · #Genomics and Phylogenetic Studies #Biomedical Text Mining and Ontologies #Genetic diversity and population structure #Tree of life (biology) #Genome #Biology #Tree (set theory) #Computational biology #Evolutionary biology #Phylogenetics #Phylogenetic tree #Genetics #Gene
  5. An expanded evaluation of protein function prediction methods shows an improvement in accuracy
    2016/01/03 by Yuxiang Jiang, Tal Ronnen Oron, Wyatt T Clark +144 · 2 citations
    Biochemistry, Genetics and Molecular Biology · #q-bio.QM
  6. Matching phenotypes to whole genomes: Lessons learned from four iterations of the personal genome project community challenges
    2017/05/25 by Binghuang Cai, Biao Li, Nikki Kiga +37 · 2 citations
    Biochemistry, Genetics and Molecular Biology · #Genetic Associations and Epidemiology #Genomics and Rare Diseases #Bioinformatics and Genomic Networks