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Evolutionary Relationships through Genome Comparisons

Genome comparison is one of the excellent ways to interpret the evolutionary relationships between organisms. The basic principle of genome comparison is that if two species share a common feature, it is likely encoded by the DNA sequence conserved between both species. The advent of genome sequencing technologies in the late 20th century enabled scientists to understand the concept of conservation of domains between species and helped them to deduce evolutionary relationships across diverse...

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Updated: Jun 19, 2026

G2-seq: A High Throughput Sequencing-based Technique for Identifying Late Replicating Regions of the Genome

G2-seq: A High Throughput Sequencing-based Technique for Identifying Late Replicating Regions of the Genome

Published on: March 22, 2018

ABWGAT: anchor-based whole genome analysis tool.

Sarbashis Das¹, Anchal Vishnoi, Alok Bhattacharya

¹Center for Computational Biology and Bioinformatics, School of Information Technology, Jawaharlal Nehru University, New Delhi, 110067, India. dsarbashis@gmail.com

Bioinformatics (Oxford, England)

|October 16, 2009

Summary

The Anchor-Based Whole Genome Analysis Tool (ABWGAT) simplifies identifying genomic variations like SNVs and indels by automatically parsing whole-genome alignments. This approach is crucial for understanding genotype-phenotype relationships as genome sequencing advances.

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Comparative Lesions Analysis Through a Targeted Sequencing Approach

Comparative Lesions Analysis Through a Targeted Sequencing Approach

Published on: November 5, 2019

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Last Updated: Jun 19, 2026

G2-seq: A High Throughput Sequencing-based Technique for Identifying Late Replicating Regions of the Genome

G2-seq: A High Throughput Sequencing-based Technique for Identifying Late Replicating Regions of the Genome

Published on: March 22, 2018

Comparative Lesions Analysis Through a Targeted Sequencing Approach

Comparative Lesions Analysis Through a Targeted Sequencing Approach

Published on: November 5, 2019

Area of Science:

Genomics
Bioinformatics

Background:

Genome sequencing is rapidly increasing.
Understanding genotype-phenotype relationships requires identifying genomic variations.
Existing whole-genome alignment tools lack automated parsing for variant identification.

Purpose of the Study:

To present a user-friendly web-based interface for whole-genome comparison.
To enable automatic parsing of alignment data for variant detection.

Main Methods:

Development of the Anchor-Based Whole Genome Analysis Tool (ABWGAT).
ABWGAT provides a web interface for whole-genome comparison.
The tool automatically parses alignment data to identify sequence variations.

Main Results:

ABWGAT facilitates whole-genome comparison.
The tool identifies various genomic variants including single nucleotide variants (SNVs), insertions/deletions (indels), repeat expansions, and inversions.
It offers high sensitivity in variant detection.

Conclusions:

ABWGAT is a simple, web-based tool for whole-genome comparison.
The tool aids in identifying diverse genomic variations.
It addresses the need for automated parsing in genomic variation analysis.