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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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| Publicat a: | Nat Methods |
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| Autors principals: | , , |
| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
2015
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| Matèries: | |
| Accés en línia: | 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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