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KISSPLICE: de-novo calling alternative splicing events from RNA-seq data
BACKGROUND: In this paper, we address the problem of identifying and quantifying polymorphisms in RNA-seq data when no reference genome is available, without assembling the full transcripts. Based on the fundamental idea that each polymorphism corresponds to a recognisable pattern in a De Bruijn gra...
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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: |
BioMed Central
2012
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| 主題: | |
| オンライン･アクセス: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3358658/ https://ncbi.nlm.nih.gov/pubmed/22537044 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/1471-2105-13-S6-S5 |
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