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Optimization of de novo transcriptome assembly from next-generation sequencing data
Transcriptome analysis has important applications in many biological fields. However, assembling a transcriptome without a known reference remains a challenging task requiring algorithmic improvements. We present two methods for substantially improving transcriptome de novo assembly. The first metho...
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| Autori principali: | , |
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| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
Cold Spring Harbor Laboratory Press
2010
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| Soggetti: | |
| Accesso online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC2945192/ https://ncbi.nlm.nih.gov/pubmed/20693479 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1101/gr.103846.109 |
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