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Search: authors:"Steffen Möller"

33 papers found.
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A workflow for the integrative transcriptomic description of molecular pathology and the suggestion of normalizing compounds, exemplified by Parkinson’s disease

Informatics in Medicine and Ageing Research, Rostock University Medical Center, Rostock, GermanyMohamed Hamed, Yvonne Gladbach, Steffen Möller, Sarah Fischer, Mathias Ernst, Stephan Struckmann & Georg ... Research journals • PubMed • Google Scholar Search for Steffen Möller in:Nature Research journals • PubMed • Google Scholar Search for Sarah Fischer in:Nature Research journals • PubMed • Google Scholar

ClonoCalc and ClonoPlot: immune repertoire analysis from raw files to publication figures with graphical user interface

Next generation sequencing (NGS) technologies enable studies and analyses of the diversity of both T and B cell receptors (TCR and BCR) in human and animal systems to elucidate immune functions in health and disease. Over the last few years, several algorithms and tools have been developed to support respective analyses of raw sequencing data of the immune repertoire. These tools...

Hardy-Weinberg equilibrium revisited for inferences on genotypes featuring allele and copy-number variations

Copy number variations represent a substantial source of genetic variation and are associated with a plethora of physiological and pathophysiological conditions. Joint copy number and allelic variations (CNAVs) are difficult to analyze and require new strategies to unravel the properties of genotype distributions. We developed a Bayesian hidden Markov model (HMM) approach that...

Robust Cross-Platform Workflows: How Technical and Scientific Communities Collaborate to Develop, Test and Share Best Practices for Data Analysis

Information integration and workflow technologies for data analysis have always been major fields of investigation in bioinformatics. A range of popular workflow suites are available to support analyses in computational biology. Commercial providers tend to offer prepared applications remote to their clients. However, for most academic environments with local expertise, novel...

ptRNApred: computational identification and classification of post-transcriptional RNA

Non-coding RNAs (ncRNAs) are known to play important functional roles in the cell. However, their identification and recognition in genomic sequences remains challenging. In silico methods, such as classification tools, offer a fast and reliable way for such screening and multiple classifiers have already been developed to predict well-defined subfamilies of RNA. So far, however...

Genetic Control of Spontaneous Arthritis in a Four-Way Advanced Intercross Line

Identifying the genetic basis of complex diseases, such as rheumatoid arthritis, remains a challenge that requires experimental models to reduce the genetic and environmental variability. Numerous loci for arthritis have been identified in induced animal models; however, few spontaneous models have been genetically studied. Therefore, we generated a four-way advanced intercross...

Quantitative Trait Locus Analysis Implicates CD4+/CD44high Memory T Cells in the Pathogenesis of Murine Autoimmune Pancreatitis

The mouse strain MRL/MpJ is prone to spontaneously develop autoimmune pancreatitis (AIP). To elucidate the genetic control towards the development of the phenotype and to characterize contributions of immunocompetent cell types, MRL/MpJ mice were interbred with three additional strains (BXD2/TYJ, NZM2410/J, CAST/EIJ) for four generations in an advanced intercross line. Cellular...

FocusHeuristics – expression-data-driven network optimization and disease gene prediction

-Madeleine Sklarz Sina Sender Christian Junghanß Steffen Möller Georg Fuellen Stephan Struckmann To identify genes contributing to disease phenotypes remains a challenge for bioinformatics. Static knowledge

Male-specific association between MT-ND4 11719 A/G polymorphism and ulcerative colitis: a mitochondria-wide genetic association study

Torsten Schröder Steffen Möller 1 Xinhua Yu David Ellinghaus Florian Bär Klaus Fellermann Hendrik Lehnert Stefan Schreiber Andre Franke Christian Sina Saleh M. Ibrahim 1 Inke R. König 0 0 Institute of

Genome-wide mapping of gene–microbiota interactions in susceptibility to autoimmune skin blistering

Srinivas, Jun Wang, Sven Künzel & John F. BainesDepartment of Dermatology, University of Lübeck, Ratzeburger Allee 160, D-23538 Lübeck, GermanyGirish Srinivas, Steffen Möller, Detlef Zillikens & Saleh M ... journals • PubMed • Google ScholarSearch for Steffen Möller in:Nature Research journals • PubMed • Google ScholarSearch for Jun Wang in:Nature Research journals • PubMed • Google ScholarSearch for Sven

A Family with Atypical Hailey Hailey Disease- Is There More to the Underlying Genetics than ATP2C1?

The autosomal dominant Hailey Hailey disease (HHD) is caused by mutations in the ATP2C1 gene encoding for human secretory pathway Ca2+/Mn2+ ATPase protein (hSPCA1) in the Golgi apparatus. Clinically, HHD presents with erosions and hyperkeratosis predominantly in the intertrigines. Here we report an exome next generation sequencing (NGS) based analysis of ATPase genes in a Greek...

Integrating ARC grid middleware with Taverna workflows

Summary: This work presents two independent approaches for a seamless integration of computational grids with the bioinformatics workflow suite Taverna. These are supported by a unique relational database to link applications with grid resources and presents those as workflow elements. A web portal facilitates its collaborative maintenance. The first approach implements a gateway...

Dissecting genetics of cutaneous miRNA in a mouse model of an autoimmune blistering disease

Background MicroRNAs (miRNAs) are small endogenous non-coding RNAs that control genes at post-transcriptional level. They are essential for development and tissue differentiation, and such altered miRNA expression patterns are linked to the pathogenesis of inflammation and cancer. There is evidence that miRNA expression is genetically controlled similar to the transcription of...

Gene-diet interactions associated with complex trait variation in an advanced intercross outbred mouse line

Phenotypic variation of quantitative traits is orchestrated by a complex interplay between the environment (e.g. diet) and genetics. However, the impact of gene-environment interactions on phenotypic traits mostly remains elusive. To address this, we feed 1154 mice of an autoimmunity-prone intercross line (AIL) three different diets. We find that diet substantially contributes to...

Combining genetic mapping with genome-wide expression in experimental autoimmune encephalomyelitis highlights a gene network enriched for T cell functions and candidate genes regulating autoimmunity

The experimental autoimmune encephalomyelitis (EAE) is an autoimmune disease of the central nervous system commonly used to study multiple sclerosis (MS). We combined clinical EAE phenotypes with genome-wide expression profiling in spleens from 150 backcross rats between susceptible DA and resistant PVG rat strains during the chronic EAE phase. This enabled correlation of...

xQTL workbench: a scalable web environment for multi-level QTL analysis

Summary: xQTL workbench is a scalable web platform for the mapping of quantitative trait loci (QTLs) at multiple levels: for example gene expression (eQTL), protein abundance (pQTL), metabolite abundance (mQTL) and phenotype (phQTL) data. Popular QTL mapping methods for model organism and human populations are accessible via the web user interface. Large calculations scale easily...

Dissecting genetics of cutaneous miRNA in a mouse model of an autoimmune blistering disease

MicroRNAs (miRNAs) are small endogenous non-coding RNAs that control genes at post-transcriptional level. They are essential for development and tissue differentiation, and such altered miRNA expression patterns are linked to the pathogenesis of inflammation and cancer. There is evidence that miRNA expression is genetically controlled similar to the transcription of protein...

SNPtoGO: characterizing SNPs by enriched GO terms

For the analysis of complex polygenic diseases, one does not expect all patients to share the same disease-associated alleles. Not even will disease-causing variations be assigned to the identical sets of genes between patients. However, one does expect overlaps in the sets of genes that are involved and even more so in their assigned molecular processes. Furthermore, the...

Community-driven computational biology with Debian Linux

Background The Open Source movement and its technologies are popular in the bioinformatics community because they provide freely available tools and resources for research. In order to feed the steady demand for updates on software and associated data, a service infrastructure is required for sharing and providing these tools to heterogeneous computing environments. Results The...

Community-driven computational biology with Debian Linux

, JapanCharles Plessy AuthorsSearch for Steffen Möller in:PubMed • Google Scholar Search for Hajo Nils Krabbenhöft in:PubMed • Google Scholar Search for Andreas Tille in:PubMed • Google Scholar Search for David ... Steffen Möller. Additional information Authors' contributions SM and AW drafted the manuscript, KW, CP, HK and SM revised it. HK implemented the use case interface to Taverna that was now adopted by AW