PICR

PICR maps protein identifiers across multiple biological databases to provide consistent cross-references for integrating protein datasets and resolving identifier inconsistencies.

Key Features:

• Cross-Reference Mapping: Maps protein identifiers across diverse source databases to unify equivalent protein entries.
• Central Repository (UniParc): Uses the UniProt Archive (UniParc) as its central data repository.
• Source Coverage: Includes over 70 distinct source databases.
• Mapping Criterion: Relies on 100% sequence identity as the core criterion for mapping.
• Species-Transcending Mapping: Provides mappings that transcend species-specific and technique-limited identifier systems.
• Input Formats: Accepts protein identifiers and protein sequences in FASTA format.
• Filtering Criteria: Supports selection by source database, taxonomic ID, and activity status within source databases.
• Output Formats: Supports output in HTML, comma-separated values (CSV), and Microsoft Excel (XLS) formats.
• Dataset Unification: Enables unifying protein datasets from multiple sources to produce consistent identifier mappings.

Scientific Applications:

• Data integration: Integrating datasets annotated with proteins from multiple database sources.
• Identifier reconciliation: Reconciling unstable or inconsistent protein identifier assignments across resources.
• Cross-database querying: Enabling queries across data providers that use different identifier systems.
• Data interoperability: Improving interoperability of protein data for downstream bioinformatics analyses.

Methodology:

Uses the UniProt Archive (UniParc) as the central repository and maps identifiers by requiring 100% sequence identity across over 70 source databases.