Exploring Reinforcement Learning Methods for Multiple Sequence Alignment: A Brief Review
Multiple sequence alignment (MSA) plays a vital role in uncovering similarities among biological sequences such as DNA, RNA, or proteins, providing valuable information about their structural, functional, and evolutionary relationships. However, MSA is a computationally challenging problem, with com...
Main Authors: | Gaad Chaimaa, Chadi Mohamed-Amine, Sraitih Mohamed, Aamouche Ahmed |
---|---|
Format: | Article |
Language: | English |
Published: |
EDP Sciences
2023-01-01
|
Series: | BIO Web of Conferences |
Subjects: | |
Online Access: | https://www.bio-conferences.org/articles/bioconf/pdf/2023/20/bioconf_biomic2023_01004.pdf |
Similar Items
-
Bioinspired Algorithms for Multiple Sequence Alignment: A Systematic Review and Roadmap
by: Mohammed K. Ibrahim, et al.
Published: (2024-03-01) -
Bioinformatics : sequence alignment and markov models /
by: 254982 Sharma, Kal Renganathan
Published: (2009) -
Comparison and evaluation of multiple sequence alignment tools in bininformatics
by: Sedaghatinia, Asieh, et al.
Published: (2009) -
SEQUENCE ALIGNMENT for BIOINFORMATICS /
by: Mohd. Saberi Mohamad, author
Published: (2018) -
Enhanced Genetic Method for Optimizing Multiple Sequence Alignment
by: Mohammed K. Ibrahim, et al.
Published: (2023-11-01)