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

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.

Documentation

Links