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The Biocomputing and Biomodelling site serves as Austria’s largest platform for biostatistics and bioinformatics experts in order to develop, share and distribute methods and findings. Questions and research problems can be discussed and solutions will be presented. In addition, the Biocomputing and Biomodelling platform also facilitates the cooperation between life science researchers and biostatisticians/bioinformaticians and can be used for document management and filesharing, for discussions as well as for scheduling of events within the community.

 

 

 

Core Facility Computational Bioanalytics at Medical University of Graz 

The Computational Bioanalytics Core Facility (CF-CBA), located at the Medical University Graz, is a group of statisticians and bioinformaticians who collaborate with medical research and life sciences investigators providing support and consulting, for planned and ongoing research projects, from experimental design, sample size calculation and power estimation to analysis, visualizing and interpretation of complex data. The facility currently focus in microbiome research, biomarker research and variant classification. The mission of the core is to ensure that experimental designs and data analyses take advantage of robust, efficient methods that reflect 'best practices' in biostatistics and bioinformatics. >> Read more

Contact:

Andrea Groselj-Strele

andrea.groselj-strele@medunigraz.at

Bioinformatics at AIT Austrian Institute of Technology GmbH

Bioinformatics at AIT is an integral part of the biomarker discovery and validation efforts carried out at the molecular diagnostics group. We develop and apply advanced statistical and bioinformatical methods and provide statistical support for biomarker validation studies. Our services and methods include experiment planning, feature selection, assay standardization, and development of decision support systems. A strong focus of our research is the analysis of Next-Generation Sequencing (NGS) data. We have broad experience with the analysis of a variety of NGS methods including whole-genome, whole-exome, bisulfite, RNA, and amplicon sequencing. >Read more

Contact:

Stephan Pabinger

stephan.pabinger@ait.ac.at | http://www.ait.ac.at

 

Klemens Vierlinger

klemens.vierlinger@ait.ac.at | http://www.ait.ac.at

Innovative software solutions will be available  soon in the Biocomputing and Biomodelling app store.

Platomics is an open software platform designed to help researchers to store, analyze and visualize large and complex biological data, such as readouts from Next Generation Sequencers (NGS). The software environment contains powerful features for integrating heterogeneous data and configuring multiple workflow runs, with the ability to "rewind" or access results of intermediate stages. The user can specify the storage and computing locations depending on the nature of the data and the type of analysis being performed; for example, large non-sensitive data sets may be crunched on the public cloud, while human DNA is kept behind an institution’s firewall on local infrastructure. The open nature of the platform means that researchers can easily configure their own workflows and encapsulate software components (e.g. R, Python scripts) as modules that can be re-used in future projects or published on a hosted sharing portal. Then with just a few mouse clicks, other biologists and informaticians can verify results, inspiring them to develop these further and cite the original research. Additionally, Platomics’ standardized APIs enable researchers to integrate modules commissioned from project partners or third-parties, without needing to define complicated software interfaces or specify tool versions. Platomics is offered to the research community to encouraging the sharing of data, algorithms and workflows – and thereby facilitate collaboration and ultimately accelerate scientific progress.

 

 

   

Science lunch talk:

Dissecting tumor‐immune cell interactions in solid cancers using

genomic data

Time: 02 June 2016, 12.00
Place: Seminar Room Ground floor, ZMF Medical University Graz,
Stiftingtalstraße 24, 8010 Graz
Z. Trajanoski
Biocenter, Division of Bioinformatics, Medical
University of Innsbruck, Innsbruck, Austria
 
 

Recent breakthroughs in cancer immunotherapy and decreasing costs of high‐throughput
technologies have sparked intensive research into tumor–immune cell interactions using genomic
tools. The wealth of the generated data and the added complexity pose considerable challenges
and require computational tools to process analyze and visualize the data. Recently, we developed
computational tools and assembled analytical pipelines to effectively mine tumor immunologic and
genomic data and provide novel mechanistic insights. Results from the analyses of 19 solid cancers
with >8000 patients will be presented.

 
     
     
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