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
Genome visualisation
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.