Poster Session

Have a look at the BBC posters on F1000!

Poster information for the participants

The poster should be prepared in A0 portrait format: height: 1189 mm (46.81 inches) and width: 841 mm (33.11 inches).

Please note that the numbering of the abstracts in the list below will be used during the poster session, and is different from the one used during the submission process.

Extend the Life of your Poster
The BeNeLux Bioinformatics Conference 2013, in cooperation with Faculty of 1000, invites all presenters to deposit any of their poster/oral presentation(s) slides into the established open access poster repository F1000 Posters, to allow those who could not make the meeting have the opportunity to see your novel work. To deposit your research, simply go to http://f1000.com/posters/depositor and upload your file to maximize the value of your conference presentations.

List of accepted abstracts

The list of all abstracts accepted for presentation at the conference can be downloaded here. The complete book of abstracts can be downloaded here.

1 Berntsen KRM. et al. Artefacts in the refinement of isoleucine.
2 Hermans SMA. et al. Identifying cholestasis-causing drug compounds: a validated ligand-based pharmacophore model.
3 Skwark MJ. et al. Prediction of protein residues contacts with deep learning and direct information methods.
4 Gonnelli G. et al. Logistic regression for the classification of PSMS: a simple method for a complex problem.
5 Housset N. et al. Focus on relatively hydrophilic peptides for targeted proteomics.
6 Macossay-Castillo M. et al. Coding regions subject to multiple constraints tend to encode intrinsically disordered protein segments.
7 Meysman P. et al. Spatially cohesive amino acids and their role in protein molecular structures.
8 De Laet M. et al. In silico stability analysis method applied to bovine seminal ribonuclease.
9 Huculeci R. et al. Mapping intra-protein communication – the FYN SH2 snap-lock mechanism.
10 Cilia E. et al. DynaMine: from protein sequence to dynamics and disorder.
11 Varadi M. et al. pE-DB: a database of structural ensembles of intrinsically disordered and of unfolded proteins.
12 Krammer E-M. et al. The selectivity of the voltage-dependent anion channel towards inorganic ions.
13 Zakeri P. et al. Protein fold recognition through hybrid geometric kernel integration of different protein features with complementary information.
14 Pucci F. et al. Protein thermal stability prediction by statistical potential.
15 Dalkas G. et al. Computational analysis of antigen-antibody compared to other protein-protein interactions.
16 Stock M. et al. Pairwise kernel methods for predicting molecular interactions.
17 Lensink MF. CAPRI: the diverse challenges of computational protein-protein docking.
18 Bhowmick P. et al. Identifying degrons: how are proteins targeted for degradation by the ubiquitin proteasome system ?
19 Moschopoulos C. et al. Superclusteroid 2: the easy-to-use tool to analyse your protein-protein interaction data.
20 Wang H. et al. Improving the detection of biologically meaningful clusters in protein interaction networks through integrated functional analysis.
21 Imrichova H. et al. Integrative analysis of regulatory tracks for the identification of direct TF-target interactions.
22 Svetlichnyy D. et al. Prediction of transcriptional targets using advanced enhancer models.
23 Van Gassen S. et al. Stable feature selection techniques for microarray data.
24 Khamiakova T. et al. Experiment-specific probe set annotation for Affymetrix gene expression data.
25 Le Van T. et al. Bi-clustering gene expression data under constraints.
26 Laenen G. et al. Galahad - a web server for gene expression data analysis in support of drug development.
27 Hendrickx DM. et al. Comparison of methods for pattern recognition in toxicogenomics time series.
28 Pepe D. et al. Unveiling the mechanisms of action and the side effects of drugs by comparative module analysis.
29 Crappé J. et al. Protein identification based on ribosome targeted mRNA fragments.
30 Wu Y. et al. PROBIC-II: simultaneously detecting coexpression modules and their regulatory patterns.
31 De Maeyer D. et al. Mechanistic interpretation of gene lists using interaction networks.
32 Lopes M. et al. Inferring the direction of gene interactions.
33 Cannoodt R. et al. Network inference by integrating biclustering and feature selection.
34 Ruyssinck J. et al. Netter: re-ranking gene regulatory network predictions using structure properties.
35 Meyer PE. The rank minrelation for transcriptional network inference.
36 Albert J. et al. The cell nucleus helps regulate not only the dynamics of gene expression, but also its noise.
37 Olsen C. et al. Data-driven validation of gene regulatory networks using knock-down data.
38 Bosnacki D. et al. CUTTER: GPU-based reconstruction of biological networks from perturbation experiments.
39 Vlassis N. et al. FASTCORE: an algorithm for fast reconstruction of context-specific metabolic network models.
40 Vlassis N. et al. Network deregulation analysis in complex diseases via the pairwise elastic net.
41 Mysara M. et al. NODE and CATCH: two algorithms to get more accurate 16S rRNA sequencing data.
42 De Meyer T. et al. Applications of large-scale genome-wide DNA methylation profiling.
43 Steyaert S. et al. SNP-guided identification of monoallelic DNA-methylation events from enrichment-based sequencing data.
44 Mensaert K. et al. Mining the garbage fragments of methylation-specific enriched DNA sequencing.
45 May A. et al. Assessing the outcome of 16S rDNA-based community analysis by comprehensive simulations.
46 Mobegi F.M. et al. Rapid identification of potential antimicrobial drug targets.
47 Verhelst B. et al. The complex intron landscape and massive intron invasion in a picoeukaryote provides insights into intron evolution.
48 Vandervelde A. et al. Toxin-antitoxin module dynamics can cause persister cell formation in E. coli.
49 de Been M. et al. Whole-genome sequence-based identification of epidemic plasmids spreading Extended-Spectrum Beta-Lactamase genes among Escherichia coli from different hosts.
50 Sabaghian E. et al. Evolution following whole genome duplication in the yeast gene regulatory network.
51 van den Ham H-K. et al. Comparative transcriptomics of helper T cells.
52 Gaigneaux A. et al. Effect of UNBS1450 on histiocytic lymphoma cell line U937: a transcriptomics analysis.
53 Villate O. et al. RNA-sequencing identifies NOVA1 as a major splicing regulator in pancreatic beta cells.
54 Masuzzo P. et al. CellMissy: a tool for management, storage, dissemination and analysis of cell migration data.
55 Bayjanov JR. et al. GWAS-M: genome-wide association studies for microbes.
56 Van Goey J. et al. AFKSNP: assembly-free K-mer based SNP comparison of bacterial WGS samples.
57 Faust K. et al. Comparative analysis of biome-specific microbial association networks.
58 Illeghems K. et al. Towards a software-independent taxonomic profiling method of microbial metagenomes.
59 Wang X. et al. Identifying interaction patterns in human microbiota.
60 Dutilh BE. Comparative metagenomics by cross-assembly.
61 Sterck L. et al. ORCAE: online resource for community annotation of eukaryotes.
62 Yilmaz S. et al. Comparing fragmentation spectra from two parasitic worm species to discover unique peptides.
63 Di Franco A. et al. Identifying losses and expansions of selected genes families in incomplete genomic datasets.
64 de Jonge R. et al. Unravelling the genetic basis of Fusarium sugarbeet wilt disease.
65 Datema E. et al. Sequence based genotyping: applications for plant breeding.
66 De Smet R. et al. Convergent gene loss following gene and genome duplications creates single-copy families in flowering plants.
67 Vermeirssen V. et al. Integrating gene regulatory network inference solutions for the abiotic stress response in Arabidopsis thaliana.
68 Sakai R. et al. Visual analysis of spermatozoa, oocytes and early embryonic transcripts.
69 El Aalamat Y. et al. Tensor decomposition for data reduction in mass spectrometry imaging.
70 Marée R. et al. Large-scale bioimage analysis using web services and machine learning.
71 Marien K. et al. Accuracy of an automated vessel counting algorithm in four different tumor types.
72 Verbeek N. et al. Guided exploration of mass spectrometry imaging data through integration with anatomical information.
73 Sifrim A. et al. eXtasy : variant prioritization by genomic data fusion.
74 Winand R. et al. Prediction accuracy for deleterious and disease causing mutations in healthy individuals.
75 Tanyalçin I. et al. Convert your favourite protein modelling program into a mutation predictor: “MODICT”.
76 Adriaens ME. et al. Unravelling the regulatory mechanisms behind inter-genic cardiac quantitative trait loci through systems genetics approaches.
77 van Dijk ADJ. et al. Connecting phenotypes and traits to biological processes and molecular functions.
78 Porretta L. et al. A class representative model for pure parsimony haplotyping under uncertain data.
79 Catanzao D. et al. Classifying the progression of ductal carcinoma from single-cell sampled data: a case study.
80 Kalender Atak Z. et al. Comprehensive analysis of transcriptome variation uncovers known and novel driver events in T-cell acute lymphoblastic leukemia.
81 Janky R. et al. Detecting master regulators and cis-regulatory interactions in human cancer related gene networks.
82 Nazarov PV. et al. Long non-coding RNAs in lung cancer: comparison of microarray and RNA-seq techniques.
83 Bizet M. et al. Extracting signatures from high-dimensional unbalanced biological data: the cases of DNA methylation and LNCRNA in breast cancer.
84 Hayes M. et al. BELLEROPHON: a hybrid method for detecting interchromosomal rearrangements at base pair resolution using next-generation sequencing data.
85 Suntsova M. et al. A human-specific endogenous retroviral insert serves as an enhancer for the schizophrenia-linked gene PRODH.
86 Godard P. et al. In silico drug repurposing in Parkinson’s disease.
87 Fierro AC. et al. Assessment of reference networks for pathway analysis and mechanistic interpretation of disease data.
88 Galhardo M. et al. Integrated analysis of transcript level regulation of metabolism reveals disease relevant nodes of the human metabolic network.
89 ElShal S. et al. Biomedical text mining for disease gene discovery.
90 Abeln S. et al. Bioinformatics and systems biology masters: bridging the gap between heterogeneous student backgrounds.
91 Bittremieux W. et al. jqcML: A Java API for quality control for mass spectrometry experiments.
92 Naulaerts S. et al. Identifying interesting frequent patterns in complex biological data with MIME.
93 Georgatos F. et al. Facilitating computational biology and bioinformatics on HPC systems using EasyBuild.
94 Ardeshirdavani A. et al. NGS logistics: data infrastructure for efficient analysis of NGS sequence variants.
95 Eijssen L. et al. DBXP: investigating the future of integrative bioinformatics research infrastructures in Europe.
96 Boiten J-W. et al. Data integration & stewardship centre: tackling the big data challenge in life science research.
97 Boender-van-Dijk L. Bioinformatics @ DSM biotechnology centre
98 Lin Y-C. et al. PacBio: single molecule sequencing to improve the Norway Spruce genome annotation.
99 Wenric S. et al. A random forests based breast cancer diagnosis tool using circulating miRNA expression.
100 Otava M. et al. Regression with enriched random forest.
101 Costa EP. et al. Transposable element annotation using relational random forests.
102 Backus L. et al. Small decision models: capitalizing on feature selection.
103 Fannes T. et al. Predicting tryptic cleavage from proteomics data using decision tree ensembles.
104 Sterck L. et al. Promoting a functional and comparative understanding of the conifer genome- implementing applied aspects for more productive and adapted forests.
105 Touw WG. et al. NMR_REDO: Large-scale recalculation of NMR structures in the cloud.
106 De Witte D. et al. Comparative motif discovery in the cloud.
107 Struck D. et al. Large-scale ancestral route reconstruction of the Luxembourgian HIV cohort in international context.
108 Lima-Mendez G. et al. Species interactions in the world’s oceans.