Sentences with phrase «v gene databases»

has developed a practical, computational technique, IgDiscover, that enables rapid production of individualized V gene databases following deep sequencing of expressed antibody repertoires.

To find a solution to this, Marcel Martin at Bioinformatics Long - term Support (WABI) at SciLifeLab, in collaboration with the group of Gunilla Karlsson Hedestam at Karolinska Institutet, has developed a practical, computational technique, IgDiscover, that enables rapid production of individualized V gene databases following deep sequencing of expressed antibody repertoires.

It also has a gene database and is in the process of cataloguing the global gene pool.

Not exact matches

Using bioinformatics techniques, Dr Jason Brunt and Dr Andrew Carter, working with Professor Mike Peck and Dr Sandra Stringer, screened this database for other entries that were similar to the predicted proteins that the botulinum toxin gene would produce.

In fact, the MESA researchers had included 46 different variants of the gene in their sequencing database.

Importantly, the workflow is highly customisable, allowing users to choose parameters, change tools and run the software on their own genes, without having to use the Ensembl database.

He lamented to a graduate student that he had never heard from Prasher; then a search on a computer database turned up a recent paper by Prasher reporting the cloning of the synthetic GFP gene.

To solve this problem, Su, Good and their colleagues at TSRI have integrated biomedical data into Wikidata, a public, editable database where researchers can easily link genes, proteins and more.

Rudolph Tanzi of Massachusetts General Hospital in Boston and Ellen Wijsman of the University of Washington, Seattle, both say that they have checked large databases and have found «no evidence» of an AD gene on chromosome 12.

First, the researchers looked at published databases of positively selected brain genes, which have been classified into 22 categories according to their function.

By compiling a database of 110 different prokaryote genomes, Todd J. Treangen and Eduardo P. C. Rocha of the Pasteur Institute in Paris calculated the number of genes that had been acquired through horizontal gene transfer.

Researchers would then have to pore through four or five databases for each one, trying to discern which genes (or the proteins they encode) have features most likely to affect the biology of the disorder — a painstaking task.

In 2002 a student in Christiano's lab was studying the Human Genome Project database and noticed an unnamed region where Christiano had predicted the human version of the lanceolate gene would reside.

«None of these genomic features is really a smoking gun per se, but combining them led to a robust detection of «new» viruses — viruses we did not have in the database, but can identify because they have capsid genes and a viral organization,» he said.

The yellow - flag system would consist of a centralized biosafety sequence database that would be annotated as evidence of the function of suspect genes comes to light.

Before now, researchers wanting to find out whether disease genes could be targeted with drugs had to search piecemeal through scientific literature, clinical trials databases or other sources of information, some of which were not publicly available or easily searchable.

«It has taken us years to assemble the clinical outcome database and tissue samples, generate the immunohistochemical biomarkers, gene expression profiles and analyse the data for this study — and we were delighted to find a definite link between alpha beta crystallin and breast cancer progression, which we hope will ultimately improve clinical outcomes.

The team has created a publicly accessible database for researchers of all the patterns of gene activation that differ between male and female pigeons.

Shotgun sequences random fragments of DNA, not one consistent gene, so it requires researchers to have a strong database they can use to match the sequences to an organism.

Its Italian counterpart has condemned the patenting of gene fragments «of unknown function», and the Italian senate is believed to have instructed publicly funded laboratories not to send data to the database.

I have come here to find out more about my body's unique blend of environmental toxins and genetics from the scientists who run the Comparative Toxicogenomics Database (CTD), an online envirogenomics tool that cross-references thousands of chemicals, genes, and diseases.

Functional perilipins (PLIN proteins encoded by the PLIN genes)(Lu et al., 2001) have been identified in very diverse organisms such as Drosophila (Teixeira et al., 2003), Dictyostelium (Du et al., 2013) and fungi (Wang & St Leger, 2007) and protein databases list clear orthologues in diverse, non-plant eukaryota, including the simplest metazoan Trichoplax adherens, sponges, crustaceans, and choanoflagelates (UniProt proteins B3RRM2, I1GA14, G5DCP6, F2UJD9, respectively).

A team led by Pablo Tamayo and Jill Mesirov of the Broad Institute and University of California, San Diego, and Broad bioinformatician Arthur Liberzon, has generated «hallmark» gene sets from the Molecular Signatures Database (MSigDB), one of the most comprehensive and widely used databases for gene set enrichment analysis.

The process they have followed in order to gather the specific information was to extract from the published literature all pharmacogenomic biomarkers that relate to the US Food and Drug Administration (FDA) and the European Medicines Agency (EMA) approved drugs with pharmacogenomic information in their label and make them available in a database that triangulates between drugs, genes and pharmacogenomics biomarkers.

In Emory's Department of Pharmacology, the Traynelis and Yuan labs have been harvesting the vast amounts of information now available from public genome databases, to better understand how changes in the NMDA receptor genes relate to function.

Using databases created by other labs, the Duke University scientists cross-checked areas of human DNA that had developed differences from chimp DNA with areas of DNA they expected to be important for gene regulation.

This uncertainty is unlikely to be resolved until a large sample of the genome has been sequenced so that the fraction of genes represented in the EST databases can be assessed.

Although over 270,000 human expressed sequence tags (ESTs) were available in public databases as of October, 1995, it is still unclear how many genes have been identified by this methodology (Jordan, 1996).

Next they turned to the Saccharomyces Genome Database (SGD) to find genes that have been shown to be lethal when overexpressed.

The comparison of sequence data was possible because in recent years thousands of DNA sequences for mosquito genes (or fragments of genes) have been deposited in computer databases.

By sequencing the exomes of multiple individuals, isolating what we'd call «tier 1» variants — Nonsynonymous, nonsense, splice site, or frameshift - indel — and then removing all known common variants from public databases, Dr. Shendure and colleagues can reduce 20,000 gene candidates down to a handful.

Awareness about 2 important publications from IMPC consortium 1 - The analysis of IMPC database that uncovers 360 new human disease models has just been published: Meehan et al., (2017) Disease model discovery from 3,328 gene knockouts by The International Mouse Phenotyping Consortium.

Nevertheless, 18,693 (63 %) have identifiable homologues in other organisms in the Swiss - Prot database; there are no doubt novel or rapidly evolving sponge genes unknown in other species.

FunCoup is a database that maintains and visualises global gene / protein networks of functional coupling that have been constructed by Bayesian integration of diverse high - throughput data.

This revealed 5,562 and 6,228 loci that have evidence of transcription in the VNO and OM respectively, that do not overlap any annotated genes in the Ensembl database.

To better illustrate gene expression profiles in mouse ES cells, we have organized the results in an interactive database with a number of features and tools.

Out of the 40 instances of such large CNVs that were not implicated previously for AN or neuropsychiatric phenotypes, two of them contained genes with previous neuropsychiatric associations, and only five of them had no associated reports in public CNV databases.

Many of the model organism databases (MODs) used by members of the GSA community — including FlyBase, WormBase, SGD, ZFIN, and MGI — have been supported by NIH's National Human Genome Research Institute (NHGRI), along with others supporting human and other research — such as OMIM, the Gene Ontology Consortium, and UniProt.

These include: a) Global Clusters that consist of a small, tight subset of genes that are co-expressed under the entire spectrum of experimental conditions; b) Time Series of gene expression profiles during successive days of standard ES cell differentiation; c) Specific Gene Classes based on hierarchical clustering of transcriptional factors and ESTs; d) Expression Waves of genes with characteristic expression profiles during ES cell differentiation, juxtaposed to waves of genes that behave in the exact opposite way; e) Pathway Animations that illustrate dynamic changes in the components of individual KEGG signaling and metabolic pathways viewed in time - related manner; and, f) Search Engines to display the expression pattern of any transcript, or groups of transcripts, during the course of ES cell differentiation, or to query the association of candidate genes with various FunGenES database clustgene expression profiles during successive days of standard ES cell differentiation; c) Specific Gene Classes based on hierarchical clustering of transcriptional factors and ESTs; d) Expression Waves of genes with characteristic expression profiles during ES cell differentiation, juxtaposed to waves of genes that behave in the exact opposite way; e) Pathway Animations that illustrate dynamic changes in the components of individual KEGG signaling and metabolic pathways viewed in time - related manner; and, f) Search Engines to display the expression pattern of any transcript, or groups of transcripts, during the course of ES cell differentiation, or to query the association of candidate genes with various FunGenES database clustGene Classes based on hierarchical clustering of transcriptional factors and ESTs; d) Expression Waves of genes with characteristic expression profiles during ES cell differentiation, juxtaposed to waves of genes that behave in the exact opposite way; e) Pathway Animations that illustrate dynamic changes in the components of individual KEGG signaling and metabolic pathways viewed in time - related manner; and, f) Search Engines to display the expression pattern of any transcript, or groups of transcripts, during the course of ES cell differentiation, or to query the association of candidate genes with various FunGenES database clusters.

To better serve the broader research community, WormBase, with five other Model Organism Databases and The Gene Ontology project, have begun to collaborate formally as the Alliance of Genome Resources.

To assist drug development through the identification of essential genes and pathways, we have measured competitive growth rates in mice of 2,578 barcoded Plasmodium berghei knockout mutants, representing > 50 % of the genome, and created a phenotype database.

He developed a Quebec - wide database tracking the incidence of genes that cause metabolic disorders, and since the 1980s, has advocated for the sharing of information to move genetics research forward.

Sequence searches for genes that have been trapped can be performed by running a BLAST search of the dbGSS database.

To facilitate data comparison between the FunGenES database and other resources, we have included a series of links to other Stem cell databases, i.e., to SCDb, Amazonia in the Study your Gene (s) of Interest search engine.

Assigning 16S rRNA gene sequences to operational taxonomic units (OTUs) allows microbial ecologists to overcome the inconsistencies and biases within bacterial taxonomy and provides a strategy for clustering similar sequences that do not have representatives in a reference database.

We modeled how additional genes would impact the assay by looking at the inclusion of other amplicons from the top 20 genes contributing to bladder cancer development listed in the COSMIC database.

The Cancer Gene Census (CGC) database contains 547 such gene across various cancer types.5 Remarkably, few driver genes having specific point mutations appear to be sufficient to rewire signalling networks in cancer, 1 which at the same time shows that — at least from the mutational side — cancer does not consist of an «infinite» number of different diseases, and in many cases treatment options targeted against driver genes might be transferred from one case to the nGene Census (CGC) database contains 547 such gene across various cancer types.5 Remarkably, few driver genes having specific point mutations appear to be sufficient to rewire signalling networks in cancer, 1 which at the same time shows that — at least from the mutational side — cancer does not consist of an «infinite» number of different diseases, and in many cases treatment options targeted against driver genes might be transferred from one case to the ngene across various cancer types.5 Remarkably, few driver genes having specific point mutations appear to be sufficient to rewire signalling networks in cancer, 1 which at the same time shows that — at least from the mutational side — cancer does not consist of an «infinite» number of different diseases, and in many cases treatment options targeted against driver genes might be transferred from one case to the next.

It overlaps somewhat with recent «atlas» type papers from Tripathi and Lemaitre, but has unique aspects and different gene expression and Gal4 databases, so it will serve to complement these other studies.

Bridging the gap between human and companion animal research, Professor Kelly Swanson (University of Illinois, USA) acknowledged the foundation that human studies have provided with respect to bacterial gene catalogues, databases and bioinformatics tools.

This music information database has been in development for over a decade and is capable of classifying music at the song level across 450 different attributes — «genes» that can be as specific as what types of strings are on the guitar, for example.