A scalable and memory-efficient algorithm for de novo transcriptome assembly of non-model organisms
Abstract 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 ver...
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| 主要な著者: | , , , , |
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| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
BMC
2017-05-01
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| シリーズ: | BMC Genomics |
| 主題: | |
| オンライン･アクセス: | http://link.springer.com/article/10.1186/s12864-017-3735-1 |
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