Conspred
Conspred annotates prokaryotic genomes by producing consensus gene and feature annotations through integration of intrinsic gene prediction, homology evidence, and non-coding/CRISPR predictions.
Key Features:
- Intrinsic Gene Predictions: Performs ab initio identification of coding regions using internal gene prediction algorithms.
- Homology Searches: Compares sequences against known databases to assign putative functions and identify homologous genes.
- Non-Coding Genes and CRISPR Repeats Prediction: Predicts non-coding RNA genes and CRISPR repeat arrays to capture regulatory and adaptive immunity elements.
- Consensus Annotation Integration: Integrates evidence from multiple prediction sources into a single consensus annotation.
- Rule-Based Decision Making: Applies predefined rules and priorities to resolve conflicting predictions and select final gene models.
- Configurable Parameters: Provides adjustable parameters to control aspects of the annotation process.
- Extensibility and Adaptability: Supports extension and adaptation of the framework for varied annotation workflows.
Scientific Applications:
- Initial Genome Annotation: Generates comprehensive annotations for newly sequenced prokaryotic genomes.
- Genome Re-annotation: Produces updated consensus annotations for existing prokaryotic genome assemblies.
- Functional Gene Assignment: Supports assignment of gene functions through integration of homology and prediction evidence.
- Regulatory Element and CRISPR Identification: Identifies non-coding RNAs and CRISPR arrays for regulatory and immunity studies.
- Comparative and Evolutionary Analyses: Enables investigation of evolutionary relationships and comparative genomics within microbial communities.
Methodology:
Combines scores from multiple gene prediction programs, incorporates homology and non-coding/CRISPR predictions, and applies predefined rule-based priorities to generate a consensus annotation.
Topics
Details
- Tool Type:
- command-line tool
- Operating Systems:
- Linux, Mac
- Programming Languages:
- Shell, Java, Perl
- Added:
- 3/27/2017
- Last Updated:
- 11/25/2024
Operations
Data Inputs & Outputs
Sequence annotation
Inputs
Outputs
Publications
Weinmaier T, Platzer A, Frank J, Hellinger H, Tischler P, Rattei T. ConsPred: a rule-based (re-)annotation framework for prokaryotic genomes. Bioinformatics. 2016;32(21):3327-3329. doi:10.1093/bioinformatics/btw393. PMID:27378292.
PMID: 27378292