P2T2: Protein Panoramic annoTation Tool for the interpretation of protein coding genetic variants
Author(s) -
Elias DeVoe,
Gavin R. Oliver,
Roman M. Zenka,
Patrick R. Blackburn,
Margot A. Cousin,
Nicole J. Boczek,
JeanPierre Kocher,
Raúl Urrutia,
Eric W. Klee,
Michael T. Zimmermann
Publication year - 2021
Publication title -
jamia open
Language(s) - English
Resource type - Journals
ISSN - 2574-2531
DOI - 10.1093/jamiaopen/ooab065
Subject(s) - annotation , proteome , computer science , repurposing , computational biology , genome , information retrieval , biology , bioinformatics , genetics , gene , artificial intelligence , ecology
Motivation Genomic data are prevalent, leading to frequent encounters with uninterpreted variants or mutations with unknown mechanisms of effect. Researchers must manually aggregate data from multiple sources and across related proteins, mentally translating effects between the genome and proteome, to attempt to understand mechanisms. Materials and methods P 2 T 2 presents diverse data and annotation types in a unified protein-centric view, facilitating the interpretation of coding variants and hypothesis generation. Information from primary sequence, domain, motif, and structural levels are presented and also organized into the first Paralog Annotation Analysis across the human proteome. Results Our tool assists research efforts to interpret genomic variation by aggregating diverse, relevant, and proteome-wide information into a unified interactive web-based interface. Additionally, we provide a REST API enabling automated data queries, or repurposing data for other studies. Conclusion The unified protein-centric interface presented in P 2 T 2 will help researchers interpret novel variants identified through next-generation sequencing. Code and server link available at github.com/GenomicInterpretation/p2t2.
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