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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...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
BioMed Central
2017
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| Materias: | |
| 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 |