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Current Bioinformatics

Editor-in-Chief

ISSN (Print): 1574-8936
ISSN (Online): 2212-392X

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Editorial

Deep Learning in DNA- and RNA-sequence Analysis: Advances and New Challenges

Author(s): Xiangtao Li

Volume 19, Issue 9, 2024

Published on: 11 June, 2024

Page: [793 - 793] Pages: 1

DOI: 10.2174/157489361909240611150749

Price: $65

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[1]
Das S, Pal S, Mahapatra S, et al. FMDVSerPred: A novel computational solution for foot-and-mouth disease virus classification and serotype prediction prevalent in Asia using VP1 nucleotide sequence data. Curr Bioinformat 2024; 19(9): 794-809.
[2]
Soylu NN, Sefer E. DeepPTM: protein post-translational modification prediction from protein sequences by combining deep protein language model with vision transformers. Curr Bioinformat 2024; 19(9): 810-24.
[3]
Chandrashekar K, Niranjan V, Vishal A, Setlur AS. Integration of artificial intelligence, machine learning and deep learning techniques in genomics: review on computational perspectives for NGS analysis of DNA and RNA seq data. Curr Bioinformat 2024; 19(9): 825-44.

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