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End Sequence Analysis Toolkit (ESAT) expands the extractable information from single-cell RNA-seq data
RNA-seq protocols that focus on transcript termini are well suited for applications in which template quantity is limiting. Here we show that, when applied to end-sequencing data, analytical methods designed for global RNA-seq produce computational artifacts. To remedy this, we created the End Seque...
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| Publicado en: | Genome Res |
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| Autores principales: | , , , , , , , , , , , , , |
| Formato: | Artigo |
| Lenguaje: | Inglês |
| Publicado: |
Cold Spring Harbor Laboratory Press
2016
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| Materias: | |
| Acceso en línea: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5052061/ https://ncbi.nlm.nih.gov/pubmed/27470110 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1101/gr.207902.116 |
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