Exploring the mutation tendency of a specific region in the virus taxonomic groups using data mining techniques-Reference-Cited by-同舟云学术

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Exploring the mutation tendency of a specific region in the virus taxonomic groups using data mining techniques

Published:2022-12-17 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE International Conference on Big Data (Big Data)
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Author:

Je Mikyung¹,Cho Myeongji²,Kim Yoon Jung³,Son Hyeon S.¹

Affiliation:

1. Seoul National University,Interdisciplinary Graduate Program in Bioinformatics, College of Natural Science,Seoul,Republic of Korea

2. Honam National Institute of Biological Resources,Division of Bio IT,Mokpo,Republic of Korea

3. Seoul National University,Lab. of Computational Virology & Viroinformatics, Graduate School of Public Health,Seoul,Republic of Korea

Funder

Ministry of Environment

Ministry of Education

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10020192/10020156/10020319.pdf?arnumber=10020319

Reference14 articles.

1. Fast Pattern Matching in Strings

2. Managing the Combinatorial Explosion

3. A fast string searching algorithm;boye;Communications of the ACM,1997

4. Singular extensions

5. Evidence for functional significance of the permuted C motif in Co2+-stimulated RNA-dependent RNA polymerase of infectious bursal disease virus

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