The IMP-IMBA Bioinformatics group was established in August 2007 in recognition of the growing importance of computational biology in biomedical research. We offer inter-disciplinary expertise in biocomputing and information technology. Special thanks to the for their cooperation.
Our core unit offers analysis services for NGS data, with computational pipelines covering common NGS-based tasks including RNA-Seq, small RNA, de novo assembly, variant detection, among others.
Functional information on sequences are often stored in many individual databases. Bringing all this information together is an important step during the anlysis of sequence sets derived from large scale experimental projects such as expression arrays and genomic RNAi experiments. The analysis of sequence sets is supported by tools such as DAVID or Flymine.
A major aspect of our work is the functional and structural characterization of biological sequences in close cooperation with experimental partners. Frequently occurring sequence analytic tasks include the analysis and discovery of functional regions in uncharacterized protein sequences, non-trivial homolog identification, analysis of genomic loci, or the detection of conserved sites. Some of the tasks are supported by software tools that can be accessed in the menu above.
Due to the multitude of similar and complementary tools available for protein sequence analysis, it can be valuable to consider the predictions from many tools at once. For an annotation of protein sequences with multiple tools please try the IMP Annotator or EBI InterProScan.
Using meta-analysis of different prediction results one can typically derive far reaching conclusions that can not be obtained using one automatic procedures alone. Results of such analyses are listed above under "Sequence Analysis".