<![CDATA[BOL: Category: researchlabs:Bioinformatics]]> https://bioinformaticsonline.com/researchlabs/category/Bioinformatics?offset=65 https://bioinformaticsonline.com/researchlabs/view/22403/ryan-e-mills-lab Tue, 26 May 2015 09:29:24 -0500 <![CDATA[Ryan E. Mills Lab]]> Our research group is primarily focused on the analysis of whole genome sequence data to identify genetic variation (primarily structural variation) and examine their potential functional impact in disease phenotypes. We are particularly interested in analyzing complex regions of the genome that are not easily resolved through modern sequencing approaches and which may exhibit interesting mechanistic origins.

We are also interested in the large-scale integration of genomic, expression, methylation and proteomic data sets, as well as the application of whole genome sequence analysis in clinical diagnostics.

More at http://millslab.ccmb.med.umich.edu/index.html

]]> https://bioinformaticsonline.com/researchlabs/view/22402/alessandra-carbone-lab Tue, 26 May 2015 08:54:34 -0500 <![CDATA[Alessandra Carbone Lab]]> Our group works on various problems connected with the functioning and evolution of biological systems. We use mathematical tools, coming from statistics and combinatorics, algorithmic tools and molecular physics tools to study basic principles of cellular functioning starting from genomic data. We run several projects in parallel, all aiming at understanding the basic principles of evolution and co-evolution of molecular structures in the cell. They are intimately linked to each other.

Our main research themes are:

Domain annotation and metagenomics
Transcriptomics and sequence analysis
Protein evolution and interactions
Protein conformational dynamics

More at http://www.lcqb.upmc.fr/AnalGenom/home.html

]]> https://bioinformaticsonline.com/researchlabs/view/22393/narcis-fernandez-fuentes-lab Mon, 25 May 2015 07:30:00 -0500 <![CDATA[Narcis Fernandez-Fuentes Lab]]> Welcome to our web-site compiling all the research-related activities of the group. Our research interests relate to a number of areas within Bioinformatics. We have a long-standing interest in protein structure prediction and structure-to-function relationships. We work in the study of biomolecular interactions, modeling of protein complexes, the study and characterization of protein-protein interactions, peptide design, modeling of genetic variation, structure-based protein design and different aspects of Plant Bioinformatics. Take a look at the our databases and servers and the list of publications for more information.

More at http://www.bioinsilico.org/

]]> https://bioinformaticsonline.com/researchlabs/view/19979/zhang-lab Sun, 28 Dec 2014 12:43:08 -0600 <![CDATA[Zhang Lab]]> We develop and use integrative bioinformatics approaches to extract biological meanings from experimental data and generate hypotheses for experimental validation. Please explore our website to learn more about our people and our research.

More at http://bioinfo.vanderbilt.edu/zhanglab/

]]> https://bioinformaticsonline.com/researchlabs/view/17652/arraygen-bioinformatics-genomics-group Sun, 28 Sep 2014 14:09:55 -0500 <![CDATA[ArrayGen Bioinformatics Genomics Group]]> ArrayGen is a global bioinformatics company which is a one stop solution for microarray designing and genomics data analysis. Our novel Array Design Approach Strategy (ADAS) aims to condense the time lag between demands of scientific community and manufacture industry, thereby expediting research processes.

ArrayGen specializes in Genomics data analysis and research, as we believe in the level of precision, predictability, benchmark-ability, and data analysis capability of genomics data over other forms of biological data. ArrayGen constantly strives to develop new solutions, and plug the existing gaps in the technological advancement of the field.

More http://www.arraygen.com/

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