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A scalable and memory-efficient algorithm for de novo transcriptome assembly of non-model organisms

BACKGROUND: With increased availability of de novo assembly algorithms, it is feasible to study entire transcriptomes of non-model organisms. While algorithms are available that are specifically designed for performing transcriptome assembly from high-throughput sequencing data, they are very memory...

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Dettagli Bibliografici
Pubblicato in:BMC Genomics
Autori principali: Sze, Sing-Hoi, Pimsler, Meaghan L., Tomberlin, Jeffery K., Jones, Corbin D., Tarone, Aaron M.
Natura: Artigo
Lingua:Inglês
Pubblicazione: BioMed Central 2017
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Accesso online:https://ncbi.nlm.nih.gov/pmc/articles/PMC5461550/
https://ncbi.nlm.nih.gov/pubmed/28589866
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s12864-017-3735-1
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