KANALYZER: a method to identify variations of discriminative k-mers in genomic sequences-Reference-Cited by-同舟云学术

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KANALYZER: a method to identify variations of discriminative k-mers in genomic sequences

Published:2022-12-06 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)
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Author:

Lebatteux Dylan¹,Soudeyns Hugo²,Boucoiran Isabelle²,Gantt Soren²,Diallo Abdoulaye Banire¹

Affiliation:

1. University of Quebec in Montreal,Montreal,QC,Canada

2. CHU Sainte-Justine Research Center,Montréal,QC,Canada

Funder

Health Research

Natural Sciences and Engineering Research Council of Canada

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9994793/9994847/09995370.pdf?arnumber=9995370

Reference18 articles.

1. CDKAM: a taxonomic classification tool using discriminative k-mers and approximate matching strategies

2. CLARK: fast and accurate classification of metagenomic and genomic sequences using discriminative k-mers

3. Identifying genetic variants underlying phenotypic variation in plants without complete genomes

4. Machine learning using intrinsic genomic signatures for rapid classification of novel pathogens: COVID-19 case study

5. Profiling SARS-CoV-2 mutation fingerprints that range from the viral pangenome to individual infection quasispecies

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Machine learning-based approach KEVOLVE efficiently identifies SARS-CoV-2 variant-specific genomic signatures;PLOS ONE;2024-01-19

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