Bioinformatic is a word that refers to the use of computers and information science to study biological data, such as DNA sequences and protein structures. It combines biology and technology to analyze and interpret large amounts of complex biological information.
Full definition
The students have undergone a comprehensive education in life science emphasising cutting - edge methods in
bioinformatic analysis of big data, high throughput techniques of molecular biology as well as how to translate biological findings into diagnostic tools and novel treatments.
Apart from using a host of cutting - edge molecular techniques such as Next Generation Sequencing or NGS, the researchers also had to develop specific
bioinformatic tools for analysing large amounts of genomic data.
Bioinformatics A comparison of
bioinformatic approaches for 16S rRNA gene profiling of food bacterial microbiota — Francesca De Filippis — International Journal of Food Microbiology
The basis for this are the so - called «omics» — genomics, transcriptomics, proteomics and metabolomics — combined with new
bioinformatic methods for integrated data analysis.
Overall, 86.3 % (139/161) of induced genes that have no homology - based evidence for an immune function are either members of multi-gene families, encode proteins shorter than 300 amino acids, encode proteins
with bioinformatic evidence for a signal peptide, or have a combination of these properties.
RD - Connect members, often in collaboration with external partners, have developed
several bioinformatic tools to help researchers analyse omics data and identify targets for potential therapies.
Most well - characterized effector molecules in other insects are secreted into the hemolymph: in our study, 91.2 % of previously identified AMPs have
bioinformatic evidence indicating presence of a signal peptide.
Characterization of the core and accessory genomes of Pseudomonas aeruginosa
using bioinformatic tools Spine and AGEnt.
All other proteins were short - listed
from bioinformatic analysis of transcription microarray data [38, 39].
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.
• 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
This requires the development of
powerful bioinformatic approaches that allow prediction of haplotypes from numerous variants, and the classification of haplotypes into functionally related categories, in order to identify those specific sequence variants, or combinations of variants, associated with the disease phenotype.
Roughly 2/3 of new studies make use of existing data, either to entirely support computational research, such as
bioinformatic algorithm development, or to support and supplement findings from new datasets.
A previous study authored by Millay in 2014 identified myomaker and its gene
through bioinformatic analysis.
We have generated rich genomic datasets for the scientific community, including an expansive atlas of genetic associations with metabolites, whole - genome sequence and phenotype data for population cohorts in the UK10K project, as well as
bioinformatic resources to facilitate the retrieval of information, including a metabolite network, a database of genotype - metabolite associations with our colleagues at the HelmHoltz institute, and a genome browser of UK10K association results.
As a result, a massive amount of omics data is currently being generated which will be difficult to exploit using
solely bioinformatic criteria.
Current strategies for miRNA target identification mainly rely
on bioinformatic methods, experimental methods to identify intracellular targets of miRNAs are in high demand.
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.
The
necessary bioinformatic analyses were performed by experts from the University of Shanghai and from the team of Georg Haberer from the Helmholtz Center Munich.
Turning this data into new science is rapidly increasing the needs for
bioinformatic support and efficient management of data.
The enormous amount of data resulting from this multi-omics approach must be converted into useful, comprehensible information by
bioinformatic scientists using smart algorithms.
These types of investigations have been enabled by key technologies, including single - cell assays, high - throughput genomic sequencing, and
improved bioinformatic algorithms.
DNA sequencing followed by
bioinformatic data - crunching revealed the kinds of abnormal DNA methylation patterns typically seen after TET protein loss.
The PhD4MD candidate will integrate a translational investigation team from IDIBAPS, working in strict collaboration with
epigenetic bioinformatic experts from the CNAG - CRG.
We will leverage state - of - the -
art bioinformatic and biological approaches for investigating how these factors interact in combination to regulate axon growth during RGC development and test the potential of such factors for regenerating RGC axons in a rodent model of optic nerve injury.
Several
bioinformatic teams develop methods for different kinds of applications and support the analysis of large - scale sequencing data:
The user - friendly interface lets users, even
without bioinformatic training, analyse Next - Generation Sequencing (NGS) data, such as genomes and exomes, and share them with other researchers.
The Data entre will serve as a knowledge centre for platforms and the Swedish research community, to advise on solutions — whether these are in Sweden or abroad at the
international bioinformatic archives.
This work involves molecular - genetic studies in the model flowering plant Arabidopsis thaliana and molecular, biophysical and
bioinformatic studies in taxa chosen for their key positions in seed plant phylogeny.
Finally the session and the conference was brought to a close with two
bioinformatic project presentations from Leeds students ESR12 Rohit Thakur and ESR13 Joey Mark Diaz.
Currently in its fifth year, this 14 - year study relies on the fact that powerful new
bioinformatic technologies and discoveries will be developed during the course of the study, and computational analytics will employ these vast networks to create new understanding, diagnostics, and canine cancer treatments.
These predictions have come largely from
bioinformatic strategies, involving modeling individual species, groups of species such as «functional types», communities, ecosystems or biomes.
Using a combination of systems biology and
bioinformatic techniques, the scientists cleverly isolated proteins, which, when mutated, abolished the plant's ability to respond to CO2 stress.
RD - Connect members, often in collaboration with external partners, have developed several
bioinformatic tools to help researchers analyse
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.
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.
We
conducted bioinformatic analyses of 703 transcriptomes to probe the immune landscape of primary cutaneous melanomas in a population - ascertained cohort.
Phrases with «bioinformatic»