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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Detalles Bibliográficos
Autores principales: Sze, Sing-Hoi, Pimsler, Meaghan L., Tomberlin, Jeffery K., Jones, Corbin D., Tarone, Aaron M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2017
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5461550/
https://www.ncbi.nlm.nih.gov/pubmed/28589866
http://dx.doi.org/10.1186/s12864-017-3735-1

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5461550/
https://www.ncbi.nlm.nih.gov/pubmed/28589866
http://dx.doi.org/10.1186/s12864-017-3735-1

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