kmerDB

kmerDB provides a species-indexed collection of fixed-length nucleotide and amino-acid sequences (kmers) for comparative genomic and proteomic analyses.


Key Features:

  • Extensive data coverage: The database encompasses 202,340,859,107 base pairs across 54,039 reference genomes and 19,304,903,356 amino acids across 21,865 proteomes.
  • Quasi-primes (species-specific sequences): Includes 6,905,362 genomic and 149,305,183 proteomic species-specific sequences termed quasi-primes.
  • Primes (absent sequences): Provides 5,186,757 nucleic and 214,904,089 peptide sequences that are absent from every genome and proteome, referred to as primes.
  • Kmer-based indexing: Organizes genomic and proteomic sequences by specific kmer lengths for sequence-level analysis and retrieval.

Scientific Applications:

  • Comparative genomics: Enables comparison of fixed-length nucleotide kmers across 54,039 reference genomes for species- and strain-level analyses.
  • Evolutionary biology: Supports analyses of kmer conservation and divergence across genomes and proteomes to infer evolutionary relationships.
  • Functional genomics: Facilitates identification of peptide kmers and sequence motifs across 21,865 proteomes for functional inference.
  • Unique-sequence characterization: Allows investigation of quasi-primes and primes to study species-specific and universally absent sequence features.

Methodology:

Sequences are organized and indexed by specific kmer lengths to provide a structured approach to data retrieval and analysis.

Topics

Details

Tool Type:
web application
Operating Systems:
Mac, Linux, Windows
Programming Languages:
Python
Added:
6/18/2024
Last Updated:
6/18/2024

Operations

Publications

Mouratidis I, Baltoumas FA, Chantzi N, Patsakis M, Chan CS, Montgomery A, Konnaris MA, Aplakidou E, Georgakopoulos GC, Das A, Chartoumpekis DV, Kovac J, Pavlopoulos GA, Georgakopoulos-Soares I. kmerDB: A database encompassing the set of genomic and proteomic sequence information for each species. Computational and Structural Biotechnology Journal. 2024;23:1919-1928. doi:10.1016/j.csbj.2024.04.050. PMID:38711760. PMCID:PMC11070822.

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