bbc 2015

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10th Benelux Bioinformatics Conference bbc 2015 P56 ESTIMATING THE IMPACT OF CIS-REGULATORY VARIATION IN CANCER GENOMES USING ENHANCER PREDICTION MODELS AND MATCHED GENOME-EPIGENOME-TRANSCRIPTOME DATA P57 I-PV: A CIRCOS MODULE FOR INTERACTIVE PROTEIN SEQUENCE VISUALIZATION 101 P58 P59 SFINX: STRAIGHTFORWARD FILTERING INDEX FOR AFFINITY PURIFICATION-MASS SPECTROMETRY DATA ANALYSIS MAPREDUCE APPROACHES FOR CONTACT MAP PREDICTION: AN EXTREMELY IMBALANCED BIG DATA PROBLEM P60 COEXPNETVIZ: THE CONSTRUCTION AND VIZUALISATION OF CO-EXPRESSION NETWORKS 104 P61 THE DETECTION OF PURIFYING SELECTION DURING TUMOUR EVOLUTION UNVEILS CANCER VULNERABILITIES P62 FLOREMI: SURVIVAL TIME PREDICTION BASED ON FLOW CYTOMETRY DATA 106 P63 P64 P65 STUDYING BET PROTEIN-CHROMATIN OCCUPATION TO UNDERSTAND GENOTOXICITY OF MLV- BASED GENE THERAPY VECTORS THE COMPLETE GENOME SEQUENCE OF LACTOBACILLUS FERMENTUM IMDO 130101 AND ITS METABOLIC TRAITS RELATED TO THE SOURDOUGH FERMENTATION PROCESS ORTHOLOGICAL ANALYSIS OF AN EBOLA VIRUS – HUMAN PPIN SUGGESTS REDUCED INTERFERENCE OF EBOLA VIRUS WITH EPIGENETIC PROCESSES IN ITS SUSPECTED BAT RESERVOIR HOST P66 PLADIPUS EMPOWERS UNIVERSAL DISTRIBUTED COMPUTING 110 P67 P68 IDENTIFICATION OF ANTIBIOTIC RESISTANCE MECHANISMS USING A NETWORK-BASED APPROACH DEFINING THE MICROBIAL COMMUNITY OF DIFFERENT LACTOBACILLUS NICHES USING METAGENOMIC SEQUENCING P69 HUNTING HUMAN PHENOTYPE-ASSOCIATED GENES USING MATRIX FACTORIZATION 113 P70 THE IMPACT OF HMGA PROTEINS ON REPLICATION ORIGINS DISTRIBUTION 114 100 102 103 105 107 108 109 111 112 Corporate poster presentations C2 THE SYSTEMS TOXICOLOGY COMPUTATIONAL CHALLENGE: IDENTIFICATION OF EXPOSURE RESPONSE MARKERS 20 16
10th Benelux Bioinformatics Conference bbc 2015 K1. MEDICAL DATA AND TEXT MINING: LINKING DISEASES, DRUGS, AND ADVERSE REACTIONS Lars Juhl Jensen Clinical data describing the phenotypes and treatment of patients is an underused data source that has much greater research potential than is currently realized. Mining of electronic health records (EHRs) has the potential for revealing unknown disease correlations and for improving post-approval monitoring of drugs. In my presentation I will introduce the centralized Danish health registries and show how we use them for identification of temporal disease correlations and discovery of common diagnosis trajectories of patients. I will also describe how we perform text mining of the clinical narrative from electronic health records and use this for identification of new adverse reactions of drugs. 17
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10th Benelux Bioinformatics Confere
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bbc 2015

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