Abstract
The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. All rights reserved. No reuse allowed without permission. Background: As the cost of DNA sequencing decreases, high-throughput sequencing technologies become increasingly accessible to many laboratories. Consequently, new issues emerge that require new algorithms, including tools for indexing and compressing hundred to thousands of complete genomes. Results: This paper presents RedOak, a reference-free and alignment-free software package that allows for the indexing of a large collection of similar genomes. RedOak can also be applied to reads from unassembled genomes, and it provides a nucleotide sequence query function. This software is based on a k-mer approach and has been developed to be heavily parallelized and distributed on several nodes of a cluster. The source code of our RedOak algorithm is available at https://gitlab.info-ufr.univ-montp2.fr/DoccY/RedOak. Conclusions: RedOak may be really useful for biologists and bioinformaticians expecting to extract information from large sequence datasets.
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CITATION STYLE
Agret, C., Chateau, A., Droc, G., Sarah, G., Ruiz, M., & Mancheron, A. (2022). RedOak: a reference-free and alignment-free structure for indexing a collection of similar genomes. Journal of Open Source Software, 7(80), 4363. https://doi.org/10.21105/joss.04363
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