Ensembl Genomes Bacteria ID history converter
Ensembl Genomes Bacteria ID history converter converts Ensembl bacterial IDs across releases to map historical identifiers to current annotations and maintain continuity in bacterial genomic analyses.
Key Features:
- ID Conversion Across Releases: Converts Ensembl IDs from previous releases to their current equivalents to preserve identifier continuity across database versions.
- Integration with Ensembl Resources: Leverages Ensembl resources including the Variant Effect Predictor (VEP) and Ensembl REST APIs for compatibility with Ensembl analysis tools and services.
- Access to Updated Genomic Data: Aligns conversions with the latest genome assemblies and updated annotations across supported species, including human, mouse, zebrafish, rat and data from 87 species.
- Support for Historical Data: Supports mappings to historical genome assemblies such as the human GRCh37 assembly to enable analyses on legacy datasets.
Scientific Applications:
- Genomic Research Continuity: Maintains consistent identifiers across Ensembl releases to ensure longitudinal comparability of genomic studies.
- Comparative Genomics: Enables comparative analyses that require reconciled identifiers across different releases or assemblies.
- Data Integration: Facilitates integration of third-party datasets with Ensembl annotations by providing up-to-date identifier mappings.
Methodology:
Maps IDs from previous Ensembl releases to current equivalents using a comprehensive Ensembl-maintained database and updated annotations and genome assemblies.
Topics
Collections
Details
- Tool Type:
- web application
- Operating Systems:
- Linux, Windows, Mac
- Added:
- 1/29/2015
- Last Updated:
- 11/25/2024
Operations
Data Inputs & Outputs
ID mapping
Inputs
Outputs
Publications
Yates A, Akanni W, Amode MR, Barrell D, Billis K, Carvalho-Silva D, Cummins C, Clapham P, Fitzgerald S, Gil L, Girón CG, Gordon L, Hourlier T, Hunt SE, Janacek SH, Johnson N, Juettemann T, Keenan S, Lavidas I, Martin FJ, Maurel T, McLaren W, Murphy DN, Nag R, Nuhn M, Parker A, Patricio M, Pignatelli M, Rahtz M, Riat HS, Sheppard D, Taylor K, Thormann A, Vullo A, Wilder SP, Zadissa A, Birney E, Harrow J, Muffato M, Perry E, Ruffier M, Spudich G, Trevanion SJ, Cunningham F, Aken BL, Zerbino DR, Flicek P. Ensembl 2016. Nucleic Acids Research. 2015;44(D1):D710-D716. doi:10.1093/nar/gkv1157. PMID:26687719. PMCID:PMC4702834.