Sentences with phrase «predicted genes based»

Not exact matches

Nearly two dozen of the altered genes are present in both the hippocampus and the blood, which presents the possibility that scientists could develop a gene - based blood test to determine whether a brain injury has occurred, and that measuring some of those genes could help doctors predict whether a person is likely to develop Alzheimer's or other disorders.

Based on how the genes fit within the original, mapped profile, they can predict with a high accuracy if a particular patient will develop metastatic tumors.

Based on their gene - drug interaction map, the researchers predicted that mutations in two genes, called ARID1A and GPBP1, could contribute to ovarian cancer's ability to develop resistance to this class of drugs.

Males who carried a particular variant of the IGF2R gene had significantly lower IQs overall, although Jirtle could not predict any individual's score based on genes.

The resulting «map» of gene - drug interactions allowed the researchers to accurately predict the responses of multiple human cancer cell lines to different chemotherapy agents based on the cell lines» genetic profiles and also revealed new genetic factors that appear to determine the response of breast and ovarian tumor cells to common classes of chemotherapy treatment.

The world's biggest study into an individual's genetic make - up and the risk of developing lung disease could allow scientists to more accurately «predict» — based on genes and smoking — your chance of developing COPD, a deadly disease which is the third commonest cause of death in the world.

Based on data from Robinson and other people who had similar experiences, Newell has been able to identify a pattern of genes turned on in their immune cells that may predict whether someone could be able to become «tolerant.»

Garcia - Ojalvo expressed surprise that a network based only on gene expression data could predict, with relative accuracy, the effect of multiple genetic interactions.

Transcriptional regulation information for a gene, including any predicted DNA binding site motifs (YeTFaSCo) for the gene's protein product, as well as any of its targets (genes it regulates) or regulators (genes that regulate it), based on experimental evidence.

These targets were identified based on the presence of predicted regulator binding sites or experimental regulator binding in the target promoter, and / or changes in the target gene's transcript levels in regulator mutant strains.

Oligonucleotide probes (60 - mers) were designed based on approximately 12,000 genes predicted to encode proteins retrieved from a recent de novo assembly of 454 - sequenced EST libraries of S. pistillata (Karako - Lampert et al., 2014).

The goal of the program is to discover gene - based biomarkers that can predict outcomes, estimate treatment toxicities, speed discovery of new drugs and create a model that could be reproduced at academic medical centers across the nation.

In both cases, the results are based on the same set of blastp searches, in which we blasted each Nasonia gene against the predicted proteomes of 30 additional species, including 12 additional Hymenoptera genomes, 6 Dipteran genomes, 5 additional insect genomes, 2 additional non-insect arthopod genomes, and 5 non-arthropod outgroup genomes (see Table S4 for the full list, including gene model versions and data sources).

This application uses calculated break points to determine fusion genes based on the latest annotation for genomic sequence information, and where relevant the structural variation (SV) events are annotated with predicted RNA and protein sequences.

«Riding» different lines in the DNA Subway, users can predict and annotate genes in up to 100,000 base pairs of DNA (Red Line), and prospect entire plant genomes for specific genes (Yellow Line).

deCODE and Encode have developed an expression - based assay of 7 genes that can predict glucocorticoid responsiveness with nearly 90 % accuracy.

The researchers were able to predict the direction of this effect with high accuracy, based on the sequences of bacteria present and the resistance genes they carried in samples taken before treatment.

A web - based tool in which users can upload their individual SNP data and obtain predicted expression levels for the set of predictable genes across the 14 different cell types.

For example, it is used to identify correlations between gene sequences and diseases, to predict protein structures from amino acid sequences, to aid in the design of novel drugs, and to tailor treatments to individual patients based on their DNA sequences (pharmacogenomics).

Rohit presented his work on using machine learning applications for predicting prognosis in primary melanoma based on gene expression profiles derived from primary melanoma tumours.

«Our eventual goal is to be able to predict the effects of BCAs based on where they are located and which genes are disrupted,» Dr. Redin said.

To understand the selection mechanism behind mutations, network - based studies were used to estimate the importance of a mutated protein compared to non-mutated ones in signalling and protein — protein interaction networks.10, 11,12,13 Proteins mutated in cancer were found having a high number of interacting partners (i.e., a high degree of connectivity), which indicates high local importance.10 Mutated proteins are also often found in the centre of the network, in key global positions, as quantified by the number of shortest paths passing through them if all proteins are connected with each other (i.e., they have high betweenness centrality; hereafter called betweenness).11, 12 Mutated proteins also have high clustering coefficients, which means their neighbours are also neighbours of each other.10, 13 Moreover, neighbourhood analysis of mutated proteins have been previously successfully used to predict novel cancer - related genes.14, 15 However, to the best of our knowledge, no study has concentrated particularly on the topological importance of first neighbours of mutated proteins in cancer, and their usefulness as drug targets themselves.

But it's still a blow to the idea that it's possible to predict who'll do best on a specific diet based on blood tests or genes.