kmerDB: A database encompassing the set of genomic and proteomic sequence information for each species

Autor: Ioannis Mouratidis, Fotis A. Baltoumas, Nikol Chantzi, Michail Patsakis, Candace S.Y. Chan, Austin Montgomery, Maxwell A. Konnaris, Eleni Aplakidou, George C. Georgakopoulos, Anshuman Das, Dionysios V. Chartoumpekis, Jasna Kovac, Georgios A. Pavlopoulos, Ilias Georgakopoulos-Soares
Jazyk: angličtina
Rok vydání: 2024
Předmět:
Zdroj: Computational and Structural Biotechnology Journal, Vol 23, Iss , Pp 1919-1928 (2024)
Druh dokumentu: article
ISSN: 2001-0370
DOI: 10.1016/j.csbj.2024.04.050
Popis: The decrease in sequencing expenses has facilitated the creation of reference genomes and proteomes for an expanding array of organisms. Nevertheless, no established repository that details organism-specific genomic and proteomic sequences of specific lengths, referred to as kmers, exists to our knowledge. In this article, we present kmerDB, a database accessible through an interactive web interface that provides kmer-based information from genomic and proteomic sequences in a systematic way. kmerDB currently contains 202,340,859,107 base pairs and 19,304,903,356 amino acids, spanning 54,039 and 21,865 reference genomes and proteomes, respectively, as well as 6,905,362 and 149,305,183 genomic and proteomic species-specific sequences, termed quasi-primes. Additionally, we provide access to 5,186,757 nucleic and 214,904,089 peptide sequences absent from every genome and proteome, termed primes. kmerDB features a user-friendly interface offering various search options and filters for easy parsing and searching. The service is available at: www.kmerdb.com.
Databáze: Directory of Open Access Journals