InCoB2014: mining biological data from genomics for transforming industry and health

The 13th International Conference on Bioinformatics (InCoB2014) was held for the first time in Australia, at Sydney, July 31-2 August, 2014. InCoB is the annual scientific gathering of the Asia-Pacific Bioinformatics Network (APBioNet), hosted since 2002 in the Asia-Pacific region. Of 106 full papers submitted to the BMC track of InCoB2014, 50 (47.2%) were accepted in BMC Bioinformatics, BMC Genomics and BMC Systems Biology supplements, with three papers in a new BMC Medical Genomics supplement. While the majority of presenters and authors were from Asia and Australia, the increasing number of US and European conference attendees augurs well for the international flavour of InCoB. Next year's InCoB will be held jointly with the Genome Informatics Workshop (GIW), September 9-11, 2015 in Tokyo, Japan, with a view to integrate bioinformatics communities in the region.

[1]  Stephen A. Krawetz,et al.  Bioinformatics for systems biology , 2009 .

[2]  O. U. Sezerman,et al.  Predicting sumoylation sites using support vector machines based on various sequence features, conformational flexibility and disorder , 2014, BMC Genomics.

[3]  Abdul Baten,et al.  Complete chloroplast genome of Macadamia integrifoliaconfirms the position of the Gondwanan early-diverging eudicot family Proteaceae , 2014, BMC Genomics.

[4]  Ponnuraman Balakrishnan,et al.  Assessment of de novo assemblers for draft genomes: a case study with fungal genomes , 2014, BMC Genomics.

[5]  Martin Eisenacher,et al.  The bacterial proteogenomic pipeline , 2014, BMC Genomics.

[6]  Arsen O. Batagov,et al.  HOXD-AS1 is a novel lncRNA encoded in HOXD cluster and a marker of neuroblastoma progression revealed via integrative analysis of noncoding transcriptome , 2014, BMC Genomics.

[7]  Vladimir Brusic,et al.  Tumor antigens as proteogenomic biomarkers in invasive ductal carcinomas , 2014, BMC Medical Genomics.

[8]  Yuki Kato,et al.  Using hidden Markov models to investigate G-quadruplex motifs in genomic sequences , 2014, BMC Genomics.

[9]  Hung-Jiun Liaw,et al.  The Yeast Nucleosome Atlas (YNA) database: an integrative gene mining platform for studying chromatin structure and its regulation in yeast , 2014, BMC Genomics.

[10]  Jinn-Moon Yang,et al.  Homopharma: A new concept for exploring the molecular binding mechanisms and drug repurposing , 2014, BMC Genomics.

[11]  Yun Zheng,et al.  Revealing editing and SNPs of microRNAs in colon tissues by analyzing high-throughput sequencing profiles of small RNAs , 2014, BMC Genomics.

[12]  Jaeyoung Choi,et al.  funRNA: a fungi-centered genomics platform for genes encoding key components of RNAi , 2014, BMC Genomics.

[13]  Mitsuo Iwadate,et al.  TINAGL1 and B3GALNT1 are potential therapy target genes to suppress metastasis in non-small cell lung cancer , 2014, BMC Genomics.

[14]  J. Dhanjal,et al.  Fragment based group QSAR and molecular dynamics mechanistic studies on arylthioindole derivatives targeting the α-β interfacial site of human tubulin , 2014, BMC Genomics.

[15]  F. Lisacek,et al.  Pathway analysis and transcriptomics improve protein identification by shotgun proteomics from samples comprising small number of cells - a benchmarking study , 2014, BMC Genomics.

[16]  Tin Wee Tan,et al.  InCoB2013 introduces Systems Biology as a major conference theme , 2013, BMC Systems Biology.

[17]  Sheng-An Lee,et al.  Transcriptome alterations of mitochondrial and coagulation function in schizophrenia by cortical sequencing analysis , 2014, BMC Genomics.

[18]  Joo Chuan Tong,et al.  Novel SNP improves differential survivability and mortality in non-small cell lung cancer patients , 2014, BMC Genomics.

[19]  Yunming Ye,et al.  Semi-supervised multi-label collective classification ensemble for functional genomics , 2014, BMC Genomics.

[20]  Georg Brabant,et al.  Molecular profiling of thyroid cancer subtypes using large-scale text mining , 2014, BMC Medical Genomics.

[21]  Xiaodi Huang,et al.  MHC2MIL: a novel multiple instance learning based method for MHC-II peptide binding prediction by considering peptide flanking region and residue positions , 2014, BMC Genomics.

[22]  Tin Wee Tan,et al.  Predicting host tropism of influenza A virus proteins using random forest , 2014, BMC Medical Genomics.

[23]  Tin Wee Tan,et al.  Asia Pacific Bioinformatics Network , 1998, German Conference on Bioinformatics.

[24]  Yu Zhang,et al.  dCaP: detecting differential binding events in multiple conditions and proteins , 2014, BMC Genomics.

[25]  Kotagiri Ramamohanarao,et al.  Rule discovery and distance separation to detect reliable miRNA biomarkers for the diagnosis of lung squamous cell carcinoma , 2014, BMC Genomics.

[26]  Jong Bhak,et al.  Whole genome sequence and analysis of the Marwari horse breed and its genetic origin , 2014, BMC Genomics.