AniProtDB
AniProtDB provides de novo-assembled proteomes and predicted protein and protein-domain annotations derived from reads in the NCBI Sequence Read Archive for 100 species spanning 21 animal phyla to support comparative genomics, functional annotation, and evolutionary biology.
Key Features:
- Comprehensive Proteome Collection: De novo-assembled metazoan proteomes covering 100 species across 21 animal phyla.
- Source Data and Assembly Pipeline: Proteomes generated from publicly available sequence data in the NCBI Sequence Read Archive using a de novo assembly pipeline.
- Predicted Proteins and Protein Domains: Per-taxon predicted protein sets with associated protein-domain annotations.
- Sequence Similarity Searches: Capability to perform sequence similarity searches across all assembled proteomes.
- Taxonomic Breadth: Inclusion of proteomes from a wide range of non-model and traditionally understudied animal phyla.
Scientific Applications:
- Comparative Genomics: Identification of homologous proteins across species for cross-taxon comparisons.
- Functional Annotation: Use of predicted proteins and domain annotations to assign putative functions to protein sequences.
- Evolutionary Biology: Analysis of protein diversity and domain architecture evolution across 21 animal phyla.
- Biomedical Research: Exploration of species-specific or conserved proteins from non-traditional model organisms relevant to biomedical questions.
Methodology:
De novo assembly of reads from the NCBI Sequence Read Archive to produce proteomes for 100 species (21 phyla), followed by protein prediction and protein-domain annotation, with support for sequence similarity searches across assembled proteomes.
Topics
Details
- Tool Type:
- web application
- Added:
- 1/18/2021
- Last Updated:
- 1/23/2021
Operations
Publications
Barreira SN, Nguyen A, Fredriksen MT, Wolfsberg TG, Moreland RT, Baxevanis AD. AniProtDB: A Collection of Uniformly Generated Metazoan Proteomes for Comparative Genomics Studies. Unknown Journal. 2020. doi:10.1101/2020.10.17.342964.