Sentences with phrase «bioinformatic analysis for»
In 2014 the CNAG - CRG together with CIBERER launched a call to the Spanish research community offering free - of - charge Whole Exome Sequencing and bioinformatic analysis for disease gene identification in rare disorders.
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First, samples of leaves from these plants are collected for in vitro cultures to isolate the fungi; then the DNA and RNA of fungi are extracted to sequence them and, through bioinformatic analysis, the researcher can determine the expression, the presence or absence of genes in the genomes of a species against each other.
The development of «bioinformatic packages» for the analysis of genetic variability and genotype - phenotype relationships will be of great value for any basic and applied comparative genomics research issues.
Bioinformatic approaches to the analysis of genetic variability and complex genotype - phenotype relationships will moreover include gene sequence and database analyses, measures of association of haplotypes / genotypes with phenotype, clustering procedures, neuronal networks, fuzzy and other techniques in pattern recognition, similarity measures for discrete patterns (e.g., gene sequences, structures, functions), logistic regression methods, and a spectrum of other techniques.
• Mouse whole genome scanning The unit offers microsatellite and SNP based Genome Scanning Services for gene identification projects, based on linkage analysis, offering coverage for a number of mouse strains (i.e. C57BL6, DBA2J, CBA, 129S6, 129P2), as well as bioinformatic analysis using suitable mouse genetic software.
Relevant publications: (1) Drug repurposing, computer - based screening (2) Functional testing and novel tools for bioapplications (3) Therapeutic targets and disease pathways by bioinformatic analysis
MELGEN will explore emergent new techniques, for example the Sanger Institute (GRL) and ServiceXS will explore new approaches to genomic data generation from such samples and from fresh tumour and, critically, with other participant groups develop new statistical / bioinformatic approaches to data analysis.
The branch serves as a focal point at the NIH campus for the analysis of a wide variety of large - scale genomic data generated in the course of laboratory and clinical studies, with branch members actively involved in efforts aimed at developing new bioinformatic approaches for the analysis and visualization of these data.