Bioinformatics Research Group

I really have no idea about how my blog is developing as I write random articles related to the daily questions and problems I come across. Today, i am going to update you guys about various bioinformatic research groups working all over the world and trying to solve complex disorders using sequencing technology and artificial intelligence.  We are already moving towards the use of artificial intelligence and algorithms to solve various biological problems varying from taxonomy identification, metabolic activities in human body, marine biology , biotechnology etc. Bioinformatics has become an important part of the every research group in almost every area of study. It will not be surprising to know that most of the PhD and Post doc positions ask for your skills in Bioinformatics and coding.  Yeah, I came across this issue and let me tell you that it requires different set of mindset as compared to wet laboratory work. I have really no idea about how to start with bioinformatics and data analysis but looking at the various groups implementing the tools of bioinformatics to increases the pace of research can give you an overall idea.

The use of system biology and bioinformatic modelling has become an important tool in  understanding the complex disease mechanism and many countries are developing there sequencing platforms and standard protocols to have preliminary results from large data set in order to focus on the exact point. Just imagine that you can identify the species of diatoms, algae and other microbes just by analysing 300-400 base pairs of environmental samples. Although, it still needs more advancement in the technology and standardized protocol.

  • University of Jena- Has an association of 25 research groups working in the area of natural products and infectious biology, ageing, microbial communication, chemical ecology, virology etc.  They are always looking for students who have some sort of background or are motivated to work in the similar area.  http://www.leibniz-hki.de/en/systembiologie-und-bioinformatik.html
  • Are you interested in small metabolites, protein-protein interactions, post translatin modification and enzyme binding. The high volume of data coverage and efficient data storage will give you more questions to find out. Various research groups at Max Planck Molecular Plant Physiology along with Bioinformatic group are working in this area in an interdisciplinary approach. http://www.mpimp-golm.mpg.de/bioinformatics
  • Bioinformatics Barcelona  Association is one of the largest group that provides training and conducts research in collaboration with various industries and education institutes. http://www.bioinformaticsbarcelona.eu/
  • Research Group Bioinformatics – University of Applied Sciences Upper Austria-  This group is involved in software development, machine learning, data mining and its applications in immunology, proteomics and other related topics.  http://bioinformatics.fh-hagenberg.at/bin_typo3/htdocs/index.php?id=2
  • Chair of Bioinformatics, Vienna- This group offers various positions at student, doctorate and post doctorate level. They are working in different areas of host-bacteria interactions, molecular determination of ageing, analysis of peptide and thermodynamics of microarray technology. Most of the group conducts experiments using different animal models. http://bioinformatics.fh-hagenberg.at/bin_typo3/htdocs/index.php?id=2
  • Brazma Group- is involved in developing algorithm and strategies to be implemented in cancer research and further identifying the relationship between transcriptomic and proteomics data. https://www.ebi.ac.uk/research/brazma
  • Swiss Institute of Bioinformatics- is one of the oldest institute working and providing training in various interdisciplinary research domains covering most of the topics including genes and genomes, evolutionary biology, proteins and proteomes, text mining, machine learning, systems biology and structural biology. https://www.sib.swiss/
  • Computational Biology and Bioinformatics, Uppsala University is one the most dynamic group in this area uses computational biology strategy to study various aspects of structural biology, intracellular kinetics, and biochemistry. There studies include structure prediction, biological catalysis, transmembrane synthesis and G protein couple receptors, drug design and molecular recognition. Other teams in the same department works in identification of mutations, functional protein classification related to heart failure. http://www.icm.uu.se/cbbi/
  • Pirinen Group- Considering the amount of the genomic data, it has become essential to develop statistical methods to analyse the data without loosing any information. They usually work in the area of population genetics of Finland. The population of Finland is known for its unique genetic make up because of genetic drift from large parts of European countries and other continents. https://www.fimm.fi/en/research/groups/pirinen
  • Computational System Medicines: Focused on developing computational experiments to identify the link between genes and diseases such as resistance mechanism, regulation of cellular processes and overall analysis of disease network under different conditions. They are using both forward and reverse genetic strategies such as next generation sequencing and CRISPR respectively. https://www.fimm.fi/en/research/groups/aittokallio
  • Computational Biomedicine – This group is working in developing tools and algorithm to study the diagnosis and prognosis of complex diseases specially Type-1 Diabetes. https://www.btk.fi/research/computational-biomedicine/
  • Computational Biology Laboratory- Junior Group- is focused in studying  key mechanisms in cancer from different angles using biomolecular modelling, differential expression analyses, molecular simulations, and biological network analyses. https://www.cancer.dk/research/computational-biology-laboratory/
  • GABi- They carry large scale genome analysis for identification of  unknown functional genes, ligand-receptor binding and complementary analysis on the basis of phylogenetic analysis. http://gabi.cidbio.org/index/index.php/research
  •  Bioinformatic Research Groups in Australia-  Australia is also leading themselves in developing there computing technologies and collaborating all over the world in Bioinformatic research. You can check the following links :-                                                         http://bioinformatics.org.au/about-us/                                                                                     http://www.deakin.edu.au/health/faculty-research/bioinformatics-core-research-group                                                                                                                                         https://www.cmri.org.au/Research/Research-Facilities/Bioinformatics                             https://research.science.mq.edu.au/biolinfo/


Categories: Research Groups

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