Sentences with phrase «sequencing analysis data»

The BRAF - resistant melanoma models available from Horizon have been highly characterized, including comprehensive patient histories, sequencing analysis data, and protein expression data.

Not exact matches

Their website says, «Simplify complex sequencing data and make impactful discoveries using the most advanced genetic analysis tools and applications.»

By increasing the speed and accuracy for NGS data analysis like whole genome sequencing (WGS), our computing platform makes it easier to discover links between DNA sequence variations and human disease.»

The collection of that data — the genetic sequences of 160,000 citizens, along with their medical and genealogical records — was made possible by the Icelandic government, and the storage and analysis of that data was overseen by deCode, a Reykjavík - based human genetics outfit that, since its founding in 1996, had struggled to stay afloat financially.

In contrast, analysis of sequence data from early in the outbreak indicated rapid mutation.

The new analysis, based on data assembled primarily by graduate student Yan - Jie Feng at Sun Yat - Sen University in Guangzhou, China, focused on the sequences of 95 genes located on chromosomes in the nucleus and how they changed over time.

RAPiD Genomics is a genotyping and data analysis company specializing in flexible, innovative genomic solutions via next - generation sequencing.

The new platform processes hundreds to tens of thousands of cells per day, providing scalable, sensitive, single - cell sequencing with simple yet powerful data analysis.

Professor Ed Feil, joint lead author from the Milner Centre for Evolution, at the University of Bath, said: «We've developed user - friendly analysis software that demonstrates how whole genome sequence data can be a powerful tool for pan-European surveillance of MRSA and other important pathogens.

While ChIP sequencing has made it possible to produce enormous amounts of data very fast, the analysis of these data has — until now — been a tedious process.

Co-first author Alice Eunjung Lee, PhD, from the lab of Peter Park, PhD, at the Center for Biomedical Informatics at Harvard Medical School, developed the study's retrotransposon analysis tool, which detects somatic retrotransposon mutations in single - cell sequencing data.

Computational genomics includes: bio-sequence analysis, gene expression data analysis, phylogenetic analysis, and more specifically pattern recognition and analysis problems such as gene finding, motif finding, gene function prediction, fusion of sequence and expression information, and evolutionary models.

A phylogenetic hypothesis for passerine birds: Taxonomic and biogeographic implications of an analysis of nuclear DNA sequence data

«Exposure to lab environments helps computational biologists have a more intuitive understanding of the data and an easier time planning sequencing experiments; lab scientists familiar with data analysis approaches can provide important insights while interpreting results.»

Added Robert Fulton, director of technology development at Washington University's McDonnell Genome Institute, which contributed to the sequencing and analysis of the data: «This research is a great example of the value of comprehensive genomic analyses and the insights that can be gained from thorough, well - designed studies.

HM - SNS allows researchers to sequence the genomes of single tumor cells and study multiple cells simultaneously, both lowering the cost and boosting data analysis for such studies.

Using technologies like whole genome or whole exome (the protein - coding portion of the genome) sequencing requires specialized equipment and advanced data analysis and is still relatively expensive.

In a similar case with a 12 - year - old whose exome was sequenced without any family data, Phevor built on the analysis of VAAST to identify a gene mutation causing the illness, another autoimmune syndrome.

To this purpose, GenProfile utilizes a powerful technology platform, which involves proprietary high - throughput technologies for gene sequence comparison (e.g., multiplex sequence comparison), genotyping (MALDI - TOF minisequencing), unique approaches to data analysis and interpretation, as well as a large network of clinical collaborators.

«Further analyses on Ion PGMT» — the company's flagship sequencing machine — «will confirm [the] data,» the press release promised.

Professor Jean - Claude Dujardin from ITM points out: «It took us more than five years to collect an unprecedented sequencing data set from clinical isolates in the Indian sub-continent and publish a first analysis last year.

This achievement marks the first big test of a new analysis method that can speed up genome assembly by compressing the raw sequence data 100-fold.

The vast amount of data generated through large - scale DNA sequencing required supercomputing resources for analysis.

Together, all five RMs serve as a collection of well - characterized, whole genome standards that can tell a laboratory how well its DNA sequencing processes are working by measuring the performance of the equipment, chemistry and data analysis involved.

The team then performed comprehensive RNA sequencing on the blood samples followed by computational data analyses to determine what genes and cells were activated and driving these allergic reactions.

Analysis of genomic, epigenetic, and RNA sequencing data revealed that the combinations of mutations that lowered the levels of functioning BRCA1 and BRCA2 RNA — genes that produce the breast cancer tumor suppressor proteins — were associated with significantly better survival outcomes.

The bioinformatics tools comprise a series of scripts for quality control analysis and biological analysis of the resultant sequencing data.

This HDG genome represented the most complete de novo genome assembly to date, and with other omics data resources available from this individual, the work can be used as a benchmark for developing new sequencing and assembly techniques, and for functional studies involving RNA or protein analysis.

High throughput genome sequencing and quantitative image analysis provide evolution, metabolic, and interaction data to build community metabolome maps, taxa / gene networks, and spatial ecosystem models.

Analysis of the DNA and encoded amino acid sequences of A14 and B9 revealed that the first two are clonal variants which aligned most closely to the germ line denoted VHH Vg (T Verrips, unpublished data) and that the sequence of B21 is highly divergent from both and also aligns to a different germ line V gene sequence Vu.

Using sophisticated statistical analysis of the massive «DNA deep sequencing» data enabled the team to trace the evolutionary forces that shaped these natural Synechococcus populations.

Analysis was performed on sequence data from 16,434 previously identified 1 kb - long loci26.

Bootscanning analysis was initially performed with all 95 unique, fully - sequenced adenovirus genomes in GenBank (data not shown).

ANGSD: Analysis of Next Generation Sequencing Data.

ngsTools: methods for population genetics analyses from next - generation sequencing data.

This interface enables the analysis of PiMS data in light of other datasets, such as protein sequence and structural information, and enables a future vision of tools which track the provenance of published biomedical results to the datasets and samples involved in the research project.

Our bioinformatics team is developing ways to solve the unique data analysis challenges created by high throughput sequencing of environmental samples and biological collections.

The most significant of these was the HiSeq X Ten, a 10 - instrument «factory installation» that enabled the most cost - effective human whole genome sequencing to date: 18,000 genomes per year at a consumables cost of just over $ 1,000 each (note: this does not include the costs of data storage, analysis, or the $ 10 million buy - in).

James Giovannoni generated the gene expression data through RNA - sequencing and Lukas Mueller provided additional analysis to confirm the quality of the genome assembly.

Explore one of the world's largest repositories of next - generation sequencing data and analysis tools for pediatric cancer.

Bioinformatics services include data QC, outlier detection and general data management, and data analysis from platforms including Illumina or Affymetrix microarrays, RNA - Seq, SNP arrays, Exome - sequencing, ChIP - chips and CHIP - seq.

ANGSD: Analysis of Next Generation Sequencing Data Korneliussen, T. S., A. Albrechtsen, and R. Nielsen.

Based at the Wellcome Trust Sanger Institute, Magnus works on the scientific analysis of high - throughput genome sequencing data for MalariaGEN, primarily on pathogen projects.

We use the low overall false positive rate among Kepler multis, together with analysis of Kepler spacecraft and ground - based data, to validate the closely - packed Kepler - 33 planetary system, which orbits a star that has evolved somewhat off of the main sequence.

The sequence data used in this analysis were generated by the Wellcome Trust Sanger Institute and contributed to the MalariaGEN P. falciparum Community Project by several independent research groups, including the Tracking Resistance to Artemisinin Collaboration.

Ultimately, I landed a job in the Medical Genomics Group, charged with the analysis of sequencing data from our high - throughput pipelines.

Interactions are derived by re-analyzing high - and low - throughput experimental data, by mining biological databases and literature, and by genomic context analysis of 373 fully sequenced genomes.

Title: Analysis Methods for Nanopore Sequencing Data Abstract: Over the last four years nanopore - based sequencing instruments have become widely Sequencing Data Abstract: Over the last four years nanopore - based sequencing instruments have become widely sequencing instruments have become widely available.

Ebba is a Master student from the «X-program» (Engineer program in Molecular Biotechnology) from Uppsala University, and she will work on building efficient bioinformatics pipelines for efficient analyses of large amounts of next - generation sequencing data.

The computational biology graduate students will mine sequence and image data using existing tools, but will also develop novel source as part of the analyses.