BMC Bioinformatics
VOLUME 17 SUPPLEMENT 18
Proceedings of X-meeting 2015: 11th International Conference of the AB3C + Brazilian Symposium on Bioinformatics: bioinformatics
Research
Publication of this supplement has not been supported by sponsorship. Information about the source of funding for publication charges can be found in the individual articles. The articles have undergone the journal's standard peer review process for supplements. The Supplement Editors declare that they have no competing interests.
São Paulo, Brazil
3-6 November 2015
Edited by Sergio Campos, Ronnie Alves, Marcelo Brandão, Ney Lemke and André Fujita
Related articles from X-meeting 2015 have been published as a supplement in BMC Genomics
- RESEARCH
ProClaT, a new bioinformatics tool for in silico protein reclassification: case study of DraB, a protein coded from the draTGB operon in Azospirillum brasilense
Azopirillum brasilense is a plant-growth promoting nitrogen-fixing bacteria that is used as bio-fertilizer in agriculture. Since nitrogen fixation has a high-energy demand, the reducti...BMC Bioinformatics 2016 17(Suppl 18):455Published on: 15 December 2016 - RESEARCH
Homology modeling and molecular dynamics provide structural insights into tospovirus nucleoprotein
Tospovirus is a plant-infecting genus within the family Bunyaviridae, which also includes four animal-infecting genera: Hantavirus, Nairovirus, Phlebovirus and Orthobunyavirus. Compared to these members, the s...BMC Bioinformatics 2016 17(Suppl 18):489Published on: 15 December 2016 - RESEARCH
Compromise or optimize? The breakpoint anti-median
The median of k≥3 genomes was originally defined to find a compromise genome indicative of a common ancestor. However, in gene order comparisons, the usual definitions based on minimizing the sum of distances to ...BMC Bioinformatics 2016 17(Suppl 18):473Published on: 15 December 2016 - RESEARCH
MUMAL2: Improving sensitivity in shotgun proteomics using cost sensitive artificial neural networks and a threshold selector algorithm
This work presents a machine learning strategy to increase sensitivity in tandem mass spectrometry (MS/MS) data analysis for peptide/protein identification. MS/MS yields thousands of spectra in a single run wh...BMC Bioinformatics 2016 17(Suppl 18):472Published on: 15 December 2016 - RESEARCH
GPCRs from fusarium graminearum detection, modeling and virtual screening - the search for new routes to control head blight disease
Fusarium graminearum (FG) is one of the major cereal infecting pathogens causing high economic losses worldwide and resulting in adverse effects on human and animal health. Therefore, ...BMC Bioinformatics 2016 17(Suppl 18):463Published on: 15 December 2016 - RESEARCH
Mirnacle: machine learning with SMOTE and random forest for improving selectivity in pre-miRNA ab initio prediction
MicroRNAs (miRNAs) are key gene expression regulators in plants and animals. Therefore, miRNAs are involved in several biological processes, making the study of these molecules one of the most relevant topics ...BMC Bioinformatics 2016 17(Suppl 18):474Published on: 15 December 2016 - RESEARCH
SIMBA: a web tool for managing bacterial genome assembly generated by Ion PGM sequencing technology
The evolution of Next-Generation Sequencing (NGS) has considerably reduced the cost per sequenced-base, allowing a significant rise of sequencing projects, mainly in prokaryotes. However, the range of availabl...BMC Bioinformatics 2016 17(Suppl 18):456Published on: 15 December 2016 - RESEARCH
SnoReport 2.0: new features and a refined Support Vector Machine to improve snoRNA identification
snoReport uses RNA secondary structure prediction combined with machine learning as the basis to identify the two main classes of small nucleolar RNAs, the box H/ACA snoRNAs and the bo...BMC Bioinformatics 2016 17(Suppl 18):464Published on: 15 December 2016
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