Assembly converter
Assembly converter maps genomic coordinates, annotations, and associated data between genome assemblies to enable cross-assembly comparison and dataset integration.
Key Features:
- Cross-Assembly Mapping: Enables mapping of genomic coordinates and annotations between current and previous genome assemblies to support continuity of analyses.
- Integration with Ensembl Resources: Leverages Ensembl databases covering 87 species, including human, mouse, zebrafish, and rat, to provide up-to-date annotations and analyses.
- Support for Latest Genome Assemblies: Prioritizes mapping to the latest reference assemblies to facilitate analyses on current genomic sequences.
- Backward Compatibility: Provides mapping to previous assembly versions, including GRCh37 for human, to support validation of historical data and reproducibility.
- Integration with Third-Party Data: Incorporates third-party datasets into the mapping process to enhance annotation coverage and accuracy.
- Scalability and Performance Enhancements: Supports large-scale analyses with improvements in REST capabilities and optimized regulatory data access via BioMart.
- Visualization of Long-Range Interactions: Supports visualization of long-range genomic interactions, including those found in cis-regulated datasets.
Scientific Applications:
- Comparative Genomics: Enables comparison of genomes and annotations across species and assembly versions.
- Variant Analysis: Maps genetic variants to current assemblies for accurate variant interpretation.
- Regulatory Studies: Facilitates exploration of regulatory elements and their long-range interactions.
- Data Integration: Enables integration of diverse datasets into a common assembly framework for combined analyses.
Methodology:
Implements algorithms for precise mapping between genome assemblies while leveraging Ensembl's comprehensive databases, integrating third-party data, and using REST improvements and BioMart-optimized regulatory data access.
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
Physical mapping
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.