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A Practical Guide to Phylogenetics for Nonexperts

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Published on: February 5, 2014

GenomeCons: a web server for manipulating multiple genome sequence alignments and their consensus sequences.

Tetsuya Sato¹, Mikita Suyama¹

¹Medical Institute of Bioregulation, Kyushu University and CREST, Japan Science and Technology Agency, 812-8582 Fukuoka, Japan Medical Institute of Bioregulation, Kyushu University and CREST, Japan Science and Technology Agency, 812-8582 Fukuoka, Japan.

Bioinformatics (Oxford, England)

|December 7, 2014

Summary

This summary is machine-generated.

GenomeCons is a new web server for analyzing multiple genome sequence alignments and their consensus sequences. It aids in visualizing evolutionary conservation and identifying functional motifs in genomic regions.

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Area of Science:

Genomics
Bioinformatics
Molecular Biology

Background:

Genome sequence alignments are crucial for understanding molecular biological processes.
High-throughput genome sequence analysis requires efficient manipulation of alignment data.

Purpose of the Study:

To develop a user-friendly web server, GenomeCons, for manipulating multiple genome sequence alignments and their consensus sequences.
To facilitate the visual inspection of genomic intervals for evolutionary conservation and functional importance.

Main Methods:

Development of the GenomeCons web server.
Implementation of tools for visual inspection of multiple genome sequence alignments.
Generation of consensus sequences for specified genomic intervals.

Main Results:

GenomeCons enables visual inspection of multiple genome sequence alignments for selected genomic intervals.
The server provides consensus sequences for downstream analyses, such as motif identification.
Facilitates the examination of evolutionary conservation patterns.

Conclusions:

GenomeCons serves as a valuable tool for high-throughput genome sequence analyses.
The server aids researchers in identifying functionally important genomic regions through conservation analysis.
Consensus sequences generated by GenomeCons support further investigations like ChIP-seq data analysis.