Autor: |
Peng Zhang, Dandan He, Yi Xu, Jiakai Hou, Bih-Fang Pan, Yunfei Wang, Tao Liu, Christel M. Davis, Erik A. Ehli, Lin Tan, Feng Zhou, Jian Hu, Yonghao Yu, Xi Chen, Tuan M. Nguyen, Jeffrey M. Rosen, David H. Hawke, Zhe Ji, Yiwen Chen |
Jazyk: |
angličtina |
Rok vydání: |
2017 |
Předmět: |
|
Zdroj: |
Nature Communications, Vol 8, Iss 1, Pp 1-14 (2017) |
Druh dokumentu: |
article |
ISSN: |
2041-1723 |
DOI: |
10.1038/s41467-017-01981-8 |
Popis: |
Translation initiation sequencing (TI-seq) has revealed unexpected diversity in protein isoforms. Here, Zhang et al. present Ribo-TISH, a computational toolkit that can detect and compare TIs across conditions and improve open reading frame prediction from different types of ribosome profiling data. |
Databáze: |
Directory of Open Access Journals |
Externí odkaz: |
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