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Name:
Niu Beifang
Gender:
男
Title:
Professor
Post:
Deputy Director of Department of High Performance Computing Technology and Application Development
Dept:
High Performance Computing Technology and Application Development Department
Tel:
E-Mail:
bniu@sccas.cn
Edu:
  • Resume:
  • Research Direction:

    • High-Performance Computing, Bioinformatics, Cancer Genomics.

  • Projects Undertook:
  • Social Service:
  • Publication:

    • 【1】Mengyuan Liu, …, Beifang Niu#. Unveiling the metal mutation nexus: Exploring the genomic impacts of heavy metal exposure in lung adenocarcinoma and colorectal cancer. (2023). Journal of Hazardous Materials, 461: 132590. (#corresponding authors)

    【2】XiaoliShi, …, Beifang Niu#, Jun Xiao#, Junming Li#, Hong Qing Ling#. (2022). Comparative genomic and transcriptomic analyses uncover the molecular basis of high nitrogen-use efficiency in the wheat cultivar Kenong9204. Molecular Plant, 15(9):1440-1456.

    【3】Xinyin Han*, Shuying Zhang*, …, Li Ding#, Beifang Niu#. (2021). MSIsensor-ct: microsatellite instability detection using cfDNA sequencing data. Briefings in Bioinformatics, 22(5): bbaa402. 

    【4】The ICGC/TCGA Pan-Cancer Analysis of Whole Genomes Consortium. (2020). Pan-cancer analysis of whole genomes. Nature, 578(7793): 82-93. (#Beifang Niu was a member of TCGA Consortium) 

    【5】Beifang Niu*, Adam D. Scott*, Sohini Sengupta*, …, Feng Chen#, Li Ding#. (2016). Protein-structure-guided discovery of functional mutations across 19 cancer types. Nature Genetics, 48(8): 827-837.

    【6】Beifang Niu*, Kai Ye*, …, Michael C. Wendl, Li Ding#. (2014). MSIsensor: microsatellite instability detection using paired tumor-normal sequence data. Bioinformatics, 30(7):1015-1016.

    【7】 Cyriac Kandoth*, Michael D McLellan*, Fabio Vandin, Kai Ye, Beifang Niu, …, Li Ding#. (2013). Mutational landscape and significance across 12 major cancer types. Nature, 502 (7471): 333-339.

    【8】Beifang Niu, Limin Fu, Shulei Sun, Weizhong Li#. (2010). Artificial and natural duplicates in pyrosequencing reads of metagenomic data. BMC Bioinformatics, 11:187.