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Related Experiment Video

Updated: Jul 10, 2026

Optimization of Synthetic Proteins: Identification of Interpositional Dependencies Indicating Structurally and/or Functionally Linked Residues

Optimization of Synthetic Proteins: Identification of Interpositional Dependencies Indicating Structurally and/or Functionally Linked Residues

Published on: July 14, 2015

An introduction to the Lagan alignment toolkit.

Michael Brudno¹

¹Department of Computer Science, University of Toronto.

Methods in Molecular Biology (Clifton, N.J.)

|November 13, 2007

Summary

This summary is machine-generated.

The Lagan Toolkit offers software for genomic sequence comparison, including local, global, and rearrangement-aware alignment methods. It aids in comparing diverse genomes, from bacteria to mammals, with user guidance. Keywords: genomic sequence comparison, alignment methods, Lagan Toolkit.

Related Experiment Videos

Last Updated: Jul 10, 2026

Optimization of Synthetic Proteins: Identification of Interpositional Dependencies Indicating Structurally and/or Functionally Linked Residues

Optimization of Synthetic Proteins: Identification of Interpositional Dependencies Indicating Structurally and/or Functionally Linked Residues

Published on: July 14, 2015

Area of Science:

Bioinformatics
Computational Biology
Genomics

Background:

Genomic sequence comparison is crucial for understanding evolutionary relationships and functional elements.
Existing alignment tools often struggle with large-scale genomic rearrangements.
The Lagan Toolkit was developed to address these challenges in comparative genomics.

Purpose of the Study:

To provide a comprehensive overview of the Lagan Toolkit's algorithms for genomic sequence alignment.
To guide users on constructing alignments using both standalone and web server interfaces.
To highlight common challenges and solutions encountered when utilizing the toolkit.

Main Methods:

The toolkit includes CHAOS for local alignments, LAGAN for global alignments (2+ sequences), and Shuffle-LAGAN for "glocal" alignments accommodating rearrangements.
Algorithms are designed to handle large mammalian and bacterial genomes.
Alignment construction is facilitated via a standalone program and a web server.

Main Results:

The Lagan Toolkit's alignment programs have been extensively applied across various organisms.
The methods effectively construct genomic alignments, even in the presence of rearrangements.
User guidance and pitfall discussions are provided to enhance usability.

Conclusions:

The Lagan Toolkit is a versatile and widely adopted software package for comparative genomics.
Its suite of alignment tools, including rearrangement-aware methods, facilitates robust genomic comparisons.
Understanding the toolkit's algorithms and usage is key to successful genomic analysis.