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Identification and visualization of differential isoform expression in RNA-seq time series
MOTIVATION: As sequencing technologies improve their capacity to detect distinct transcripts of the same gene and to address complex experimental designs such as longitudinal studies, there is a need to develop statistical methods for the analysis of isoform expression changes in time series data. R...
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| Опубликовано в: : | Bioinformatics |
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| Главные авторы: | , , , , |
| Формат: | Artigo |
| Язык: | Inglês |
| Опубликовано: |
Oxford University Press
2018
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| Предметы: | |
| Online-ссылка: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5860359/ https://ncbi.nlm.nih.gov/pubmed/28968682 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/bioinformatics/btx578 |
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