Legionella pneumophila genome database

Legionella pneumophila genome database provides a curated relational repository of non-redundant Legionella pneumophila DNA sequences and annotations organized into contigs, with integrated sequence-analysis outputs to support molecular genetics, comparative genomics, codon usage, and protein property studies.


Key Features:

  • Relational Database Structure: Organizes DNA sequences, genes, proteins, and annotations in a relational schema to enable explicit links between biological entities.
  • Non-redundant Sequence Management: Maintains non-redundant DNA sequences derived from authoritative genomic sources, assembled into contigs representing consensus genomic regions.
  • Integrated Sequence Analysis Tools: Provides a rapid similarity-searching tool that interfaces with protein data banks and an advanced DNA pattern-searching program for motif and regulatory element identification.
  • Comprehensive Data Analysis Capabilities: Supports codon usage analysis via Factorial Correspondence Analysis and isoelectric point distribution studies for annotated proteins.

Scientific Applications:

  • Pathogenesis Studies: Identify genetic factors contributing to virulence and host–pathogen interactions in Legionella pneumophila.
  • Evolutionary Biology: Compare genomes to investigate evolutionary relationships and adaptations within Legionella species.
  • Drug Target Discovery: Detect unique genomic features and protein properties that may serve as candidates for therapeutic intervention.

Methodology:

Data are sourced from established genomic libraries and curated to maintain non-redundancy and assemble contigs; relational links between genes and proteins are encoded to reflect biological relationships; integrated similarity searching, DNA pattern searching, Factorial Correspondence Analysis for codon usage, and isoelectric point distribution calculations are applied as stated.

Topics

Collections

Details

Tool Type:
web application
Operating Systems:
Linux, Windows, Mac
Added:
9/30/2015
Last Updated:
11/25/2024

Operations

Publications

Moszer I, Glaser P, Danchin A. Subtilist: a relational database for the Bacillus subtilis genome. Microbiology. 1995;141(2):261-268. doi:10.1099/13500872-141-2-261. PMID:7704253.

Documentation