Nature Inspired Algorithms for Solving Multiple Sequence Alignment Problem: A Review (Jun, 10.1007/s11831-022-09769-w, 2022)

Journal article

Open access

Peer reviewed

Tirumala Paruchuri, Gangadhara Rao Kancharla, Suresh Dara, Rohit Kumar Yadav, Surender Singh Jadav, Swetha Dhamercherla and Ankit Vidyarthi

Archives of computational methods in engineering, Vol.29(5), pp.3537-3537

01/08/2022

Abstract

Computer Science

Computer Science, Interdisciplinary Applications

Engineering

Engineering, Multidisciplinary

Mathematics

Mathematics, Interdisciplinary Applications

Physical Sciences

Science & Technology

Technology

url

https://doi.org/10.1007/s11831-022-09782-zView

Published (Version of record) Open

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Title: Nature Inspired Algorithms for Solving Multiple Sequence Alignment Problem: A Review (Jun, 10.1007/s11831-022-09769-w, 2022)
Creators - without role: Tirumala Paruchuri - Acharya Nagarjuna University
Gangadhara Rao Kancharla - Acharya Nagarjuna University
Suresh Dara - Department of Computer Science and Engineering, B V Raju Institute of Technology, Narsapur, India
Rohit Kumar Yadav - IITM Janakpuri GGSIPU, Dept Comp Sci, New Delhi 110058, India
Surender Singh Jadav - National Institute of Pharmaceutical Education and Research
Swetha Dhamercherla - Department of Computer Science and Engineering, B V Raju Institute of Technology, Narsapur, India
Ankit Vidyarthi - Jaypee Institute of Information Technology
Publication Details: Archives of computational methods in engineering, Vol.29(5), pp.3537-3537
Publisher: Springer Nature
Number of pages: 1
Identifiers: 9917416708331
Academic Unit: Jazan University
Language: English
Resource Type: Journal article