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Ultrasensitive detection of TCR hypervariable-region sequences in solid-tissue RNA–seq data

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Figure 1: Evaluation of the performance of TRUST in single-end mode.

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Acknowledgements

We acknowledge the following funding sources for supporting our work: NCI grant 1U01 CA180980 and National Natural Science Foundation of China grants 31329003 (to X.S.L.), 31601077 (to R.D.) and 81321002 (to T.L.).

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Authors and Affiliations

  1. Department of Biostatistics and Computational Biology, Dana-Farber Cancer Institute, Boston, Massachusetts, USA

    Bo Li, Jian Zhang & X Shirley Liu

  2. Department of Statistics, Harvard University, Cambridge, Massachusetts, USA

    Bo Li, Jun S Liu & X Shirley Liu

  3. State Key Laboratory of Oral Diseases, West China Hospital of Stomatology, Sichuan University, Chengdu, China

    Taiwen Li

  4. School of Life Science and Technology, Tongji University, Shanghai, China

    Binbin Wang & X Shirley Liu

  5. Department of Colorectal Surgery, Sixth Affiliated Hospital, Sun Yat-sen University, Guangdong, China

    Ruoxu Dou

Authors
  1. Bo Li
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  2. Taiwen Li
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  3. Binbin Wang
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  4. Ruoxu Dou
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  5. Jian Zhang
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  6. Jun S Liu
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  7. X Shirley Liu
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Corresponding authors

Correspondence to Bo Li or X Shirley Liu.

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Supplementary Figures 1–4 and Supplementary Note (PDF 647 kb)

Supplementary Software

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Li, B., Li, T., Wang, B. et al. Ultrasensitive detection of TCR hypervariable-region sequences in solid-tissue RNA–seq data. Nat Genet 49, 482–483 (2017). https://doi.org/10.1038/ng.3820

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