种子科学与生物技术系
工作经历：
2019.10-至今 中国农业大学，农学院，副教授
2018.08-2019.06 University of Southern California,计算生物与生物信息学，博士后
学习经历：
2013.08-2018.08 University of Southern California, 计算生物与生物信息学，博士
2015.08-2017.08 University of Southern California，计算机科学，硕士
2007.09-2011.07 四川大学，统计学，学士
开发生物信息学和计算生物学方法（包括机器学习，优化，统计学模型及算法等）对多维生物实验数据进行整合分析，促进玉米基因组遗传调控的基础研究。研究兴趣包含但不限于组织特异的信号，如转录因子与DNA特异性结合，组蛋白修饰和三维基因组结构，对基因调控的影响。
1. Chiu TP, Xin B, Markarian N, Wang Y, Rohs R. 2019. TFBSshape: an expanded motif database for DNA shape features of transcription factor binding sites. Nucleic Acid Research. gkz970.
2. Chu C*, Li Z*, Xin B*, Peng F*, Rohs R, Luo Q, Zhou J. Deep graph embedding for structural learning in ecommerce. In The 27th ACM International Conference on Information and Knowledge Management, CIKM 2018. p2007–2015. (* equal contribution)
3. Xin B and Rohs R. 2018. Relationship between histone modifications and transcription factor binding is protein family specific. Genome Research 28: 321–333.
4. Schwörer S, Becker F, Feller C, Baig AH, Köber U, Henze H, Kraus JM, Xin B, Lechel A, Lipka DB, Varghese CS, Schmidt M, Rohs R, et al. 2016. Epigenetic stress responses induce muscle stem-cell ageing by Hoxa9 developmental signals. Nature 540: 428–432.
5. Mathelier A, Xin B, Chiu TP, Yang L, Rohs R, Wasserman WW. 2016. DNA shape features improve transcription factor binding site predictions in vivo. Cell Systems 3: 278–286.
6. Zentner GE, Kasinathan S, Xin B, Rohs R, Henikoff S. 2015. ChEC-seq kinetics discriminates transcription factor binding sites by DNA sequence and shape in vivo. Nature Communications 6: 8733.
