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HISAT: a fast spliced aligner with low memory requirements
HISAT (hierarchical indexing for spliced alignment of transcripts) is a highly efficient system for aligning reads from RNA sequencing experiments. HISAT uses an indexing scheme based on the Burrows-Wheeler transform and the Ferragina-Manzini (FM) index, employing two types of indexes for alignment:...
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| Yayımlandı: | Nat Methods |
|---|---|
| Asıl Yazarlar: | , , |
| Materyal Türü: | Artigo |
| Dil: | Inglês |
| Baskı/Yayın Bilgisi: |
2015
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| Konular: | |
| Online Erişim: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4655817/ https://ncbi.nlm.nih.gov/pubmed/25751142 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/nmeth.3317 |
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