ProdoDB: a sequence-matched protein domain database with REST API service

  IJETT-book-cover  International Journal of Engineering Trends and Technology (IJETT)          
  
© 2020 by IJETT Journal
Volume-68 Issue-5
Year of Publication : 2020
Authors : Byung Ryul Jeon
  10.14445/22315381/IJETT-V68I5P203S

MLA 

MLA Style: Byung Ryul Jeon "Determination of Optimal Torque in Thread Rolling Operation" International Journal of Engineering Trends and Technology 68.5(2020):13-15. 

APA Style: Byung Ryul Jeon. Determination of Optimal Torque in Thread Rolling Operation  International Journal of Engineering Trends and Technology, 68(5),13-15.

Abstract
With ever-increasing amounts of genomic data being generated, most analysis of next generation sequencing data is performed with extensive use of bioinformatics tools. For proper analysis of large experimental datasets, linking to proper resources with adequate unique identifiers (IDs) is critical. However, for protein databases, although numerous genetic and protein databases provide associated unique IDs, due to the polymorphisms and isoforms of proteins used in research, protein sequences can differ among associated databases. As functional domain information is a key element for interpretation of genetic sequence variants, an easily accessible integrated protein domain database is needed. Here we present ProdoDB, a protein domain database providing sequence-matched Swiss-Prot and National Center for Biotechnology Information(NCBI) protein reference sequence unique ID mapping, as well as corresponding sequence information, including gene and domain information, as a REST API service following OpenAPI standards.

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Keywords
ProdoDB, Protein Sequence Mapping, Protein Database, Protein Domain and Site.