
German Conference on Bioinformatics
Sep 25-28, 2018
German Conference on Bioinformatics
Sep 25-28, 2018
Locate the mouse pointer over the title to show its brief description. The Poster Ids are preliminary and could change in the future. If the presenting author has changed or is not the first author, please let us know.
Poster Id | Presenting author | Title |
---|---|---|
1 | Gottmann Pascal |
miR-QTL-Scan, a computational framework for the identification of miRNAs involved in metabolic diseases |
2 | Hariharaputran Sridhar |
Construction of protein interaction network for Mycobacterium tuberculosis |
3 | Hendling Michaela |
Oli2go: an automated multiplex oligonucleotide design tool |
4 | Waldl Maria |
Fast Analysis of RNA-RNA Interaction Kinetics for Refining RNA Targeting Screens |
5 | Rahmann Sven |
Ultrafast and space-efficient k-mer indexing |
6 | Hildebrandt Andreas |
Secure protocols for a-priori privacy checks in medical databases |
7 | Huttner Michael |
Lyra - containerized microservices for browsing shared biomedical data |
8 | Hölzer Martin |
Long reads matter: The advantages of Nanopore long-read sequencing |
9 | Mahfouz Norhan |
High genomic diversity of multi-drug resistant wastewater Escherichia coli |
10 | Li Lifei |
Pairs of adjacent conserved non-coding elements separated by conserved genomic distances act as cis-regulatory units |
11 | Kataka Evans |
Edgetic perturbation signatures reproducible across patients of a cancer type represent novel and known cancer biomarkers |
12 | Rieser Jens |
Protein-protein interaction (PPI) network for Salmonella infected cells |
13 | Perlaza Laura |
A genome-wide scan for correlated mutations detects macromolecular and chromatin loop interactions in Arabidopsis thaliana. |
14 | Kenn Michael |
Using gene expression to improve precision in receptor status determination |
15 | Friedrich Anja |
In-silico identification of genotoxic substances |
16 | Grabski Hovakim |
Interaction of quercetin with transcriptional regulator LasR of Pseudomonas aeruginosa: Mechanistic insights of the inhibition of virulence through quorum sensing |
17 | Hariharaputran Sridhar |
Machine Learning and Mycobacterium tuberculosis |
18 | Zafari Sachli |
Tracing the genomic footprint of natural competence in bacterial genomes |
19 | Auer Florian |
Composing a dockerized Ecosystem for the Exchange and Visualization of Biological Networks |
20 | Perco Paul |
Bioinformatics analysis identifies the renoprotective factor dicarbonyl and L-xylulose reductase (DCXR) as prognostic chronic kidney disease biomarker |
21 | Pirogov Anton |
Complexity and Function in the Human Genome |
23 | Itzel Timo |
Superiority of multiple random gene sets in predicting survival of patients with hepatocellular carcinoma |
24 | Itzel Timo |
Hepamine - A Liver Disease Microarray Database, Visualization Platform and Data-Mining Resource |
25 | Gabdoulline Razif |
Measurable Residual Disease monitoring with next-generation sequencing |
26 | Nazarov Petr |
Independent component analysis provides insights into biological processes and clinical outcomes for melanoma patients |
27 | Caldera Michael |
Towards a Systematic Understanding of Drug-Drug Interactions |
28 | Jungwirth Emilian |
Bioinformatic Analysis of FXR related ChIP-seq data |
29 | Cao Xueqi |
Stratification of macrolide treatment for community-acquired pneumonia |
30 | Timm Henning |
Dynamics of MinHash Values on Genomic q-Gram Sets |
31 | Budczies Jan |
In-depth analysis of immunological and genetic tumor status in and across cancer types: impact of mutational signatures beyond total mutational load |
32 | Jain Arpit |
The evolutionary traceability of proteins |
33 | Tranchevent Leon-Charles |
Deep neural network approach to predict clinical outcomes in high-dimensional and smallsample data settings |
34 | Teese Mark |
Structural and functional factors explain the observed difference in sequence conservation between transmembrane and soluble domains. |
35 | Burdukiewicz Michal |
PCRedux: machine learning helper tool for sigmoid curves |
36 | Ristevski Blagoj |
Big Data and Complex Network Analysis in Bionformatics |
37 | Gabel Alexander |
Entropic hourglass patterns of animal and plant development |
38 | Walsh Thomas |
A k-mer based Deep Learning Approach for Quantitative, Reference-free Prediction of Antibiotic Resistance Phenotypes from Next-Generation Sequencing Data |
39 | Penchovsky Robert |
Essential Bioinformatics Web Services for Sequence Analyses |
40 | Gelhausen Rick |
Constraining maximal intermolecular helix lengths improves RNA-RNA interaction prediction |
41 | Hajseyed Nasrollah Zahra Sadat |
Learning the Topology of Latent Signaling Networks from High Dimensional Transcriptional Intervention Effects |
42 | Pavlova Nikolet |
EBWS: Essential Bioinformatics Web Services for Sequence Analyses |
43 | Kastrin Andrej |
Predicting potential drug-drug interactions using statistical learning |
44 | Singer Franziska |
The Swiss Molecular Tumor Board: Comprehensive Molecular Cancer Diagnostics in the Clinics |
45 | Kretschmer Jens |
The m6A reader protein YTHDC2 interacts with the small ribosomal subunit and the 5′-3′ exoribonuclease XRN1 |
46 | Folkman Lukas |
Kernelized Rank Learning for Personalized Drug Recommendation |
47 | Gonnella Giorgio |
Flexible and interactive visualization of GFA sequence graphs |
48 | Simm Stefan |
Transcriptome and proteome dynamics during pollen development and their visualization through VoronoiTreemaps |
49 | Galleguillos Sarah Noel |
Efficient calculation of microbial production envelopes |
50 | Gralinska Ela |
Correspondence analysis of human brain organoid transcriptome data |
51 | Welzel Marius |
ChimeraMATE: An algorithm for the de-novo detection of chimeric DNA sequences |
52 | Kosch Robin |
New Approaches for Meta-Analysis and Network Meta-Analysis of Transcriptomics Data |
53 | Bernhart Stephan |
Differential snoRNA expression in miRNA sequencing experiments |
54 | Fallmann Joerg |
The RNA workbench |
55 | Barth Nicolai |
Origin of Enhancer Redundancy |
56 | Muller Arnaud |
Multi-omics and time-resolved data integration for drug response analysis |
57 | Kim Sang Yoon |
Integration of multi-omics lung cancer data through a patient-oriented and pathway-centric approach |
58 | Jeske Tim |
DEUS: an R package for accurate small RNA profiling based on differential expression of unique sequences |
59 | Will Thorsten |
Differential analysis of combinatorial protein complexes with CompleXChange |
60 | Feldbauer Roman |
Protein vector representations for fast similarity search |
61 | Laimer Josef |
M23D - MHC-II Model Database |
62 | Gerner Samuel |
Tamock - Sample-specific gold standards in metagenomics |
63 | Buphamalai Pisanu |
Multilayered Network Framework for Biomedical Data Integration and Disease Gene Discovery |
64 | Yang Manli |
Metabolic adaptation of Chlamydia trachomatis during infection and RNA sequencing analysis of host response in STI patients |
65 | Müller-Stricker Oliver |
Cancer patient stratification by Greedy Symmetric Nonnegative Matrix Factorization |
66 | Raulf Arne Peter |
Simultaneous background correction and classification of infrared microscopic pixel spectra using deep stacked autoencoders |
67 | Heyl Florian |
CLIP-Explorer: A Galaxy-Pipeline for iCLIP and eCLIP data. |
68 | Vetter Julia |
High-throughput Immune Repertoire Sequencing Analysis using the Software ImmunExplorer |
69 | Mölbert Carla |
Identifying functionally interacting proteins via their phylogenetic profiles |
70 | Marquardt André |
Amino acid residue pseudopotentials, SNP annotations using 3D-structures |
71 | Britto-Borges Thiago |
Gene regulatory networks in murine models of heart disease |
72 | Boileau Etienne |
Landscape of RNA translation in murine models of heart disease |
73 | Nguyen Duy |
Proteomics explains client specificity of the human translocon-associated protein complex in ER protein import |
74 | Pabinger Stephan |
Designing functional molecules with DNArchitect |
75 | Winkler Stephan |
White Box Modeling, Variable Impact Analysis, and Interaction Network Identification in Biological and Medical Data Using Symbolic Regression |
76 | Xiang Yang |
Discriminating Spontaneous Tumors from Exposure Induced Tumors in A/J Mice Lung Cancer Model |
77 | Jakobi Tobias |
circtools: a one-stop software solution for circular RNA research |
78 | Schneider Markus |
Multi-level network analysis of structural ensembles |
79 | Schiavinato Matteo |
Genome and transcriptome characterization of glycoengineered Nicotiana benthamiana |
80 | Bartonek Lukas |
Towards physicochemical bioinformatics: an interactive web-based tool for visualizing and comparing physicochemical properties of biological sequences |
81 | Hurka Sabine |
Processing of paper-based case report forms using optical character recognition software for automated data transfer |
82 | Padalko Anastasiia |
Assessment of open reading frame coding potential using proteomic and genomic data. |
83 | Beneder Victoria |
From Minimum Inhibitory Concentrations to Resistance Phenotypes: Semi-Automated Breakpoint Interpretation |
84 | Loka Tobias |
Live analysis and privacy-preserving real-time filtering in next-generation sequencing while the sequencer is still running (Poster to the talk) |
85 | Lüftinger Lukas |
Machine-Learning-Based Annotation Triage and Extraction of Microbial Phenotypic Traits from the Scientific Literature |
86 | Vulliard Loan |
Network-based approach to drug-gene interactions |
87 | Müller Felix |
NICE – Network Informed funCtional Enrichment |
88 | Peters Philipp |
Benchmarking the impact of long-read correction methods |
89 | Bodrug Alexandrina |
Detection of haplotype blocks for genome scaffolding in plants |
90 | Haladik Ben |
Application of Machine Learning and Computer Vision Methods to Characterize Cancer Cells in Hodgkin Lymphoma |
91 | Abdullaev Eldar |
Modelling Segmental Duplications in the Human Genome |
92 | Lucaciu Calin Rares |
Determine ambiguous regions in public genomes |
93 | Mader Malte |
GENOME-WIDE SCAN FOR DIAGNOSTIC MARKERS FOR BUD BURST IN BEECH |
94 | Jeske Lisa |
The revised and extended BRENDA Structure Search |
95 | Menzel Michael |
NoPeak: Binding Motif Discovery from ChIP-Seq Data without Peak Calling |
96 | Baar Till |
Using Nanopore Sequencing for in vivo Cell Type-Specific RNA Expression Profiling |
97 | Hoff Katharina |
BRAKER2: Incorporating Protein Homology Information into Gene Prediction with Genemark-EP and Augustus |
98 | Mohammadnejad Afsaneh |
Network analysis of DNA methylation of visceral adipose tissue comparing obese individuals with and without type 2 diabetes |
99 | Erkes Annett |
Quantitative Prediction of Transcription Activator-Like Effectors |
100 | Di Liddo Antonella |
CircRNA profiling in human cancer cells under hypoxic stress |
101 | Ebel Matthis |
Finding Syntenic Regions in Multiple Unannotated, Unaligned Genomes |
102 | Jakubec David |
3DPatch: tools for fast 3D structure visualization with residue conservation |
103 | McCann Jamie |
Population structure and allele frequency clines in wild and cultivated beets (Beta vulgaris) |
104 | Geijo Javier |
The inference of information transfer in biological systems |
105 | Pirklbauer Georg J. |
Extensions to Peptide Spectrum Match Validation by Semi-Supervised Machine Learning Methods |
106 | Forster Jan Rouven |
Small-scale phasing of somatic variants for neoantigen discovery using Microphaser |
107 | Thomae Viegas Christian |
Modelling Dependencies Between Histone Modifications Using Deep Learning |
108 | Ortner Martin |
An organism-specific hydrophobicity scale based on reference datasets |
109 | Piontke Jessica Christin |
Complexity and Gene Enrichment in Vertebrate Genomes |
110 | Müller Teresa |
An improved scoring scheme for local sequence-structure alignments to identify regulatory RNAs |
111 | Martens Leonie |
RiboSNitches in complex cardiovascular diseases |
112 | Placzek Sandra |
EXOMEDA – The new text mining approach for organism-related information in BRENDA |
113 | Chernomor Olga |
Phylogenetic terraces and an efficient tree space exploration |
114 | Feichtinger Julia |
Promising Serological Biomarkers to Diagnose Giant Cell Arteritis in a Large Cohort of Treatment-Naïve Patients |
115 | Piewald Florian |
PICA-to-go: A fast microbial phenotype investigation pipeline |
116 | Grützmann Konrad |
Does activation of specific transposable elements play a role in the development of glioblastoma? |
117 | Schmidt Heiko |
Detection of Similar Strains in Metagenomic Assembly Bins from an Enrichment Culture |
118 | Tatto Nadine |
Design and development of a comprehensive online resource for the biotechnological important yeast Komagataella phaffii |
119 | Mainguy Jean |
Annotation of viral polyproteins |
120 | Zwickl Nikolaus F. |
Comparative genomics of the pathogenic bacterium Tannerella forsythia |
121 | Margherita Francescatto |
Deep Learning for drug-induced liver injury prediction |
122 | Ou Yu-Yen |
Using continuous bag of words to interpret the hidden information of protein sequences in electron transport proteins |
123 | Didusch Sebastian |
Peptidome – DB: A community-driven proteogenomics database to curate the peptidome |