GenSkew

GenSkew computes and visualizes G+C skew (guanine (G) versus cytosine (C) composition) across microbial genomes to identify compositional asymmetry indicative of replication origins, termini, and genomic rearrangements.


Key Features:

  • Visualization: Produces detailed plots of G+C skew across microbial genomes to reveal regions of compositional asymmetry such as replication initiation sites and genomic rearrangements.
  • Integration with Genome Databases: Integrates with the Munich Information Center for Protein Sequences (MIPS) resources and leverages over 400 genomes automatically annotated with the PEDANT system for comparative analyses.
  • Comprehensive Data Structures: Employs database technologies and data structures developed to represent complex genomic information, including functional modules and network relationships.
  • Query Tools: Provides computational query capabilities for accessing and manipulating genomic sequences, annotations, and associated metadata.

Scientific Applications:

  • Genome Organization Studies: Uses G+C skew patterns to infer structural features of microbial genomes, including replication origins and termini.
  • Evolutionary Biology: Supports comparative analyses across PEDANT-annotated genomes to investigate compositional changes and evolutionary relationships among genes and genomes.
  • Functional Genomics: Enables exploration of gene function and interaction networks through integration with resources such as MPCDB (Microbial Protein Complex Database) and MPPI (Microbial Protein-Protein Interaction database).

Methodology:

Calculates and plots G+C skew across genomic sequences and leverages MIPS computational frameworks including SIMAP (Sequence Similarity Matrix Analysis Package) and CABiNet (Comprehensive Annotation-Based Network).

Topics

Details

Maturity:
Mature
Cost:
Free of charge
Tool Type:
desktop application, web application
Operating Systems:
Linux, Windows, Mac
Programming Languages:
Java
Added:
11/5/2015
Last Updated:
12/16/2018

Operations

Data Inputs & Outputs

Publications

Mewes HW. MIPS: analysis and annotation of proteins from whole genomes in 2005. Nucleic Acids Research. 2006;34(90001):D169-D172. doi:10.1093/nar/gkj148. PMID:16381839. PMCID:PMC1347510.

Documentation