Nature Communications (Nov 2017)
Genome-wide identification and differential analysis of translational initiation
- 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
Affiliations
- Peng Zhang
- Department of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center
- Dandan He
- Department of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center
- Yi Xu
- Department of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center
- Jiakai Hou
- Department of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center
- Bih-Fang Pan
- Proteomics and Metabolomics Facility, and Department of Systems Biology, The University of Texas MD Anderson Cancer Center
- Yunfei Wang
- Department of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center
- Tao Liu
- Department of Biochemistry, State University of New York at Buffalo
- Christel M. Davis
- Avera Institute for Human Genetics
- Erik A. Ehli
- Avera Institute for Human Genetics
- Lin Tan
- Department of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center
- Feng Zhou
- Liver Cancer Institute, Zhongshan Hospital, Key Laboratory of Carcinogenesis and Cancer Invasion, Minister of Education, and Institutes of Biomedical Sciences, Fudan University
- Jian Hu
- Department of Cancer Biology, The University of Texas MD Anderson Cancer Center
- Yonghao Yu
- Department of Biochemistry, The University of Texas Southwestern Medical Center
- Xi Chen
- Department of Molecular and Cellular Biology, Baylor College of Medicine
- Tuan M. Nguyen
- Department of Molecular and Cellular Biology, Baylor College of Medicine
- Jeffrey M. Rosen
- Department of Molecular and Cellular Biology, Baylor College of Medicine
- David H. Hawke
- Proteomics and Metabolomics Facility, and Department of Systems Biology, The University of Texas MD Anderson Cancer Center
- Zhe Ji
- Department of Biological Chemistry and Molecular and Pharmacology, Harvard Medical School
- Yiwen Chen
- Department of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center
- DOI
- https://doi.org/10.1038/s41467-017-01981-8
- Journal volume & issue
-
Vol. 8,
no. 1
pp. 1 – 14
Abstract
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.
