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Multi-species Conserved Sequences

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Next-generation sequencing technologies have created large genomic databases of a variety of animals and plants. Ever since the human genome project was completed, scientists studied the genome of primates, mammals, and other phylogenetically distant living beings. Such large-scale studies have provided new insights into the evolutionary relationship between organisms.
Although the genome of each species varies greatly from each other, a few sequences are highly conserved. Such conserved...

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A Protocol for Computer-Based Protein Structure and Function Prediction

A Protocol for Computer-Based Protein Structure and Function Prediction

Published on: November 3, 2011

Two Simple and Efficient Algorithms to Compute the SP-Score Objective Function of a Multiple Sequence Alignment.

Vincent Ranwez¹

¹Montpellier SupAgro, UMR AGAP, 34060, Montpellier, France.

|August 10, 2016

Summary

This summary is machine-generated.

Optimizing multiple sequence alignment (MSA) is key for molecular analysis. New methods achieve O(nL) time complexity for sum of pair score estimation, significantly speeding up MSA tool performance.

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Area of Science:

Bioinformatics
Computational Biology
Molecular Biology

Background:

Multiple sequence alignment (MSA) is fundamental for molecular analyses.
Current MSA tools often rely on greedy approaches and iterative refinement using sum of pair (SP) score optimization.
SP-score estimation is a computational bottleneck in most MSA tools due to its time-consuming nature.

Purpose of the Study:

To address the computational bottleneck in multiple sequence alignment.
To develop optimized solutions for SP-score estimation in MSA.

Main Methods:

Introduced optimized algorithms for SP-score calculation.
Focused on affine gap cost models.

Main Results:

Achieved O(nL) time complexity for SP-score estimation with affine gap costs, a significant improvement over the previous O(n2L).
The developed solutions are easy to implement.

Conclusions:

The new methods offer a substantial speed-up for MSA.
These optimizations can enhance the efficiency of various molecular analysis pipelines.