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Evaluating the impact of sequencing error correction for RNA-seq data with ERCC RNA spike-in controls
Sequencing errors are a major issue for several next-generation sequencing-based applications such as de novo assembly and single nucleotide polymorphism detection. Several error-correction methods have been developed to improve raw data quality. However, error-correction performance is hard to eval...
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| Foilsithe in: | IEEE EMBS Int Conf Biomed Health Inform |
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| Main Authors: | , , , |
| Formáid: | Artigo |
| Teanga: | Inglês |
| Foilsithe: |
2016
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| Ábhair: | |
| Rochtain Ar Líne: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4983418/ https://ncbi.nlm.nih.gov/pubmed/27532064 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1109/BHI.2016.7455838 |
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