HOMOLENS
HOMOLENS provides high-quality homologous gene families, multiple sequence alignments, and phylogenetic trees to support comparative genomics analyses of metazoan genomes from Ensembl.
Key Features:
- Automated comparative genomics pipeline: Performs massive all-against-all similarity searches, gene clustering, multiple sequence alignment computations, and phylogenetic tree construction.
- Data content: Stores curated homologous gene families, sequence alignments, and phylogenetic trees derived from metazoan genomes.
- Parallel computing infrastructure: Executes analyses on a large computer cluster using parallel computing to process large sequence datasets.
- Database architecture and scope: Shares underlying architecture with HOVERGEN and HOGENOM and is specialized for Ensembl-derived metazoan genomes.
Scientific Applications:
- Gene annotation: Supports transfer and validation of gene annotations through homologous family information and alignments.
- Identification of novel functional regions: Enables detection of conserved regions that may indicate new functional genome elements.
- Evolutionary studies: Facilitates analyses of speciation events and gene duplications using homologous families and phylogenies.
- Phylogenetics: Provides multiple sequence alignments and phylogenetic trees for reconstructing evolutionary relationships.
- Comparative genomics investigations: Supplies structured homologous families and alignments for broad comparative analyses across metazoans.
Methodology:
Automated workflow combining massive all-against-all similarity searches, gene clustering, multiple sequence alignment computations, and phylogenetic tree construction executed on a parallel computing cluster.
Topics
Details
- Tool Type:
- api
- Operating Systems:
- Linux, Windows, Mac
- Added:
- 8/3/2017
- Last Updated:
- 11/24/2024
Operations
Publications
Penel S, Arigon A, Dufayard J, Sertier A, Daubin V, Duret L, Gouy M, Perrière G. Databases of homologous gene families for comparative genomics. BMC Bioinformatics. 2009;10(S6). doi:10.1186/1471-2105-10-s6-s3. PMID:19534752. PMCID:PMC2697650.