论文信息 - The International Conference on Intelligent Biology and Medicine (ICIBM) 2016: from big data to big analytical tools

The International Conference on Intelligent Biology and Medicine (ICIBM) 2016: from big data to big analytical tools

The 2016 International Conference on Intelligent Biology and Medicine (ICIBM 2016) was held on December 8–10, 2016 in Houston, Texas, USA. ICIBM included eight scientific sessions, four tutorials, one poster session, four highlighted talks and four keynotes that covered topics on 3D genomics structural analysis, next generation sequencing (NGS) analysis, computational drug discovery, medical informatics, cancer genomics, and systems biology. Here, we present a summary of the nine research articles selected from ICIBM 2016 program for publishing in BMC Bioinformatics.

[1] Xiaolong Wang,et al. CNN-based ranking for biomedical entity normalization , 2017, BMC Bioinformatics.

[2] Heng-Yi Wu,et al. Using machine learning algorithms to identify genes essential for cell survival , 2017, BMC Bioinformatics.

[3] Haixu Tang,et al. STRScan: targeted profiling of short tandem repeats in whole-genome sequencing data , 2017, BMC Bioinformatics.

[4] Jie Wang,et al. ScaPD: a database for human scaffold proteins , 2017, BMC Bioinformatics.

[5] Kai Wang,et al. PennCNV in whole-genome sequencing data , 2017, BMC Bioinformatics.

[6] Yongsheng Bai,et al. Identification of genome-wide non-canonical spliced regions and analysis of biological functions for spliced sequences using Read-Split-Fly , 2017, BMC Bioinformatics.

[7] Ping Wu,et al. XBSeq2: a fast and accurate quantification of differential expression and differential polyadenylation , 2017, BMC Bioinformatics.

[8] Yuan-De Tan,et al. New statistical methods for estimation of recombination fractions in F2 population , 2017, BMC Bioinformatics.

[9] Xinghua Lu,et al. Unsupervised deep learning reveals prognostically relevant subtypes of glioblastoma , 2017, BMC Bioinformatics.