Sentences with phrase «higher data throughput»

At the moment Thunderbolt is mostly used on Apple devices and in specialized fields that can take advantage of its higher data throughput, such as video editing.

Not exact matches

In a study published in the May 29, 2014, edition of Molecular Ecology Resources, Duke researchers Peter Larsen, Ryan Campbell and Anne Yoder used high - throughput sequencing on sifaka blood samples to generate sequence data for more than 150,000 different sifaka antibodies — protective molecules that latch on to bacteria, viruses and other foreign invaders in the body and fight them off before they cause infection.

Using a high - throughput data set, they trained a random forest algorithm to predict which specific palladium catalysts would best tolerate isoxazoles (cyclic structures with an N — O bond) during C — N bond formation.

A random forest algorithm trained on high - throughput data predicts which catalysts best tolerate certain heterocycles.

The tools include high - throughput sequencing and hardware and software to process the resulting data.

Company scientists perform high throughput assays and screens and send data to the scientists.

And the ever - increasing amount of high - throughput experimentation data, while a major modeling and informatics challenge, has also created opportunities for material design and discovery.

Despite the flood of molecular data coming from novel high - throughput technologies, research is mostly question - driven and tries to exploit data to gain biological insights.

The idea for this high - throughput, data - driven approach to materials discovery hit Ceder in the early 2000s, when he was at the Massachusetts Institute of Technology (MIT) in Cambridge and found himself inspired by the nearly completed Human Genome Project.

Materials informatics focuses on performing — and developing tools for — high - throughput computing and data mining.

Importantly, genome research and high - throughput data production at an industrial scale will generate a wealth of data, which can serve bioinformatics researchers as a «test bed» for the development and validation of algorithms.

There has been a manifold increase in the amount of experimental data because of the burgeoning progress in high - throughput instrumentation and techniques.

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.

Recent advances in streamlining the qPCR workflow, liquid handling, and instrumentation have enabled scientists to generate sensitive and cost - effective high throughput qPCR data in drug discovery processes.

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.

In parallel, we use high throughput sequencing methods to obtain both deep phylogenetic rDNA / rRNA tag data and metagenomic and metatranscriptomic functional profiles from size fractions covering the entire plankton community from viruses to fish larvae (Figure 2B and 2C).

-- In silico basic and systems biology: We develop innovative approaches to reverse engineer biological networks from omics data, model tumor progression at the genomic, transcriptomic and epigenetic level, automatically annotate new proteins and functional elements through integration of complex and heterogeneous data, including data obtained from high - throughput sequencing or time - lapse video - microscopy.

He also received his Master's degree in Bioinformatics from the University of Sannio, Italy, studying methods for high - throughput transcriptional data analysis.

Over 15 years of multi-faceted, cross-functional experience in managing and analyzing data generated by diverse high - throughput genomic technologies.

Access to advanced high - throughput instruments for next generation sequencing at SciLifeLab has enabled the very fast process of adding transcript data to the protein atlas.

Founded by data scientists, clinicians, and microbiologists from MIT and OpenBiome, Finch uses machine - learning algorithms informed by high - throughput molecular data to reverse engineer successful experiences with fecal transplantation.

More specifically, we use large - scale data acquisition and quantitative modelling of phenotypes and molecular profiles, systematic perturbations (such as drugs or high - throughput genetics) and computational analysis of non-linear, epistatic interaction networks.

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 Next - Generation Proteomics Measurement Platform is combining new instrumentation and data analysis capabilities for significantly higher throughput proteomics than currently available, as well as informatics capabilities for managing the massive volumes of proteomics data that will be generated.

We consider the release and maintenance of scientific software an integral part of scientific publishing, and we contribute to the Bioconductor Project, an open source software collaboration to provide tools for the analysis and study of high - throughput genomic data.

Furthermore, with the aim of generating high - throughput behavioral data [37], considerable research is being performed to integrate animated images of conspecifics, heterospecifics [38], [39], and predators [2] in experimental paradigms.

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.

I work with scientists, clinicians, programmers, and data analysts to understand the genetic basis of inherited pediatric disorders through high - throughput exome and genome sequencing.

The overarching goal of his research is to utilize high - throughput genomic data sets, mostly based on DNA sequencing, in order to build models that explain how gene expression is regulated.

UniChem supports the integration of high - throughput screening data on small molecules with chemical libraries and chemical resources for drug discovery and optimization.

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

He group is also interested in high throughput gene expression data analysis, especially using Bayesian network (BN) approaches.

Using high - throughput DNA sequencing techniques, the research team looked at these functional elements in more than 1,000 data sets produced from over 100 mouse cell types and tissues.

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.

2012 In this thesis, I investigate the genetics of neuropsychiatric disorders by analysing large data sets derived from high - throughput experiments, using novel comparative genomics approaches.

We have developed new BN algorithms and tools for analysis of gene interaction networks using high throughput gene expression data.

The paper, titled «Connecting earth observation to high - throughput biodiversity data» is published in the journal Nature Ecology and Evolution: DOI: 10.1038 / s41559 -017-0176.

She implemented these approaches in Bioconductor, an open source software program used with high - throughput genomic data.

LifeMap Discovery ® is a compendium of embryonic development for stem cell research and regenerative medicine, constructed by integrating extensive molecular, cellular, anatomical and medical data curated from scientific literature and high - throughput data sources.

Here we present data from studies profiling cytokines in human and rodent samples using our standard - throughput FirePlex immunoassays, and introduce the simplified workflow of our high - throughput FirePlex immunoassays, with data demonstrating the performance for quantifying key cytokines in multiplex.

The Cancer, Ageing and Somatic Mutation Programme seeks to provide leadership in data aggregation and informatics innovation, developing high - throughput cellular models of cancer for genome - wide functional screens and drug testing, and exploring basic scientific questions about the role somatic mutation plays in clonal evolution, ageing and development.

The lone PI, working independently and aloof from other groups, is doomed to fail in this modern world of high - throughput, big data science.

Cas - Analyzer is an instant assessment tool for high - throughput sequencing data for genome edited cells.

Our work combines computational analysis of high - throughput sequencing data, population genetics, and experimental work.We focus in particular on studying genetic effects on the transcriptome traits, which has further applications in other traits at the cellular and individual level.

High - throughput data acquisition streamlines complex experiments, while simple protocols for multiplexed analysis provide deeper insight into cell behavior.

The Center supports the development of new tools for integrating and analyzing data from genomics, proteomics, metabolomics, molecular modeling, and high - throughput screening, chemical biology, structural biology, and imaging, all of which involve large complex datasets that can challenge limits of available software tools and require high capacity, reliable data storage.

These data are comparable to results obtained with more traditional individual tests of each of the relevant behaviors, suggesting that this system might provide a high - throughput means to quickly screen and characterize different rodent disease models.

While PrediXcan can discover links between genes and traits in a high - throughput manner, Im notes that because it creates estimates based on genome sequence data, it is most accurate for strongly heritable traits.

Facility functions include: statistical analyses and computational modeling for all types of high - throughput data; advanced bioinformatics tools for integrative cancer biology; and data management.

Routine data analyses include large scale information datasets (omics data) generated by high - throughput technologies, which address the following areas: