Ensembl 2016

Area of Science:

• Genomics
• Bioinformatics
• Comparative Genomics

Background:

• The Ensembl project serves as a vital resource for genomic annotation, analysis, storage, and dissemination.
• It facilitates access to genomic data for chordates and key model organisms.

Purpose of the Study:

• To detail the recent updates and advancements in the Ensembl genome annotation system.
• To highlight new features, expanded species coverage, and improved data accessibility.

Main Methods:

• Systematic annotation of 87 species, including three new additions.
• Integration of third-party data into the Variant Effect Predictor (VEP).
• Development of enhanced REST API capabilities and faster BioMart regulatory data delivery.

Main Results:

• Expanded species coverage with three new annotations and updates for existing species, focusing on human, mouse, zebrafish, and rat.
• Significant improvements to the VEP tool through third-party data integration.
• Enhanced website functionality including mobile optimization, display of long-range interactions, and faster BioMart performance.

Conclusions:

• The Ensembl project continues to evolve, offering a more comprehensive, accessible, and powerful platform for genomic research.
• Recent updates enhance data analysis capabilities and user experience across various devices.