Sentences with phrase «generation data analysis»

Not exact matches

The analysis comes off the back of data released at the end of March which showed that renewable electricity generation in Scotland grew by 26 percent in 2017.

A charming combination poised on the boundary between data science and wish fulfillment, the Zumper analysis is the perfect instrument for a digital generation.

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

Integrated data analysis and report generation frees nuclear analysts from time - consuming calculations and makes reports available the same day.

«The bottleneck for discovery is no longer the generation of data, but instead is the analysis of such massive datasets.

Dutch blogger Lars Boelen, using data from the Carbon Dioxide Analysis Center and the International Energy Agency, made a chart showing just how much of the «carbon pie» each generation has consumed.

«Big data for text: Next - generation text understanding and analysis.»

The Human Genome Project so increased the speed with which researchers can generate data that the bottleneck no longer lies in data generation but in data analysis.

But even data - loving Knapp is in the sway of pedigree, extending his own analyses back not just five generations, but to the 128 ancestors in generation seven.

A new generation of researchers is using DNA analysis of varied organisms such as humans, chickens, and sweet potatoes to add compelling data to a case previously based on more nebulous linguistic and artifact similarities.

Despite more than 30 years passing between the fall of the Khmer Rouge regime and the initiation of skeletal analysis in Cambodia, these data are important reminders for current and future generations.

ANGSD: Analysis of Next Generation Sequencing Data.

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

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.

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

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

June 6, 2016 Genomic Data Commons at University of Chicago heralds new era of data sharing for cancer research The Genomic Data Commons (GDC), a next - generation platform that enables unprecedented data access, analysis and sharing for cancer research, publicly launched at the University of Chicago on June 6, opening the door to discoveries for this complex set of diseaData Commons at University of Chicago heralds new era of data sharing for cancer research The Genomic Data Commons (GDC), a next - generation platform that enables unprecedented data access, analysis and sharing for cancer research, publicly launched at the University of Chicago on June 6, opening the door to discoveries for this complex set of diseadata sharing for cancer research The Genomic Data Commons (GDC), a next - generation platform that enables unprecedented data access, analysis and sharing for cancer research, publicly launched at the University of Chicago on June 6, opening the door to discoveries for this complex set of diseaData Commons (GDC), a next - generation platform that enables unprecedented data access, analysis and sharing for cancer research, publicly launched at the University of Chicago on June 6, opening the door to discoveries for this complex set of diseadata access, analysis and sharing for cancer research, publicly launched at the University of Chicago on June 6, opening the door to discoveries for this complex set of diseases.

Scientists in our group combine methods development, data generation and analysis with hypothesis generation and experimental testing to obtain insights into biological mechanisms of disease.

The Genomic Data Commons (GDC), a next - generation platform that enables unprecedented data access, analysis and sharing for cancer research, publicly launched at the University of Chicago on June 6, opening the door to discoveries for this complex set of diseaData Commons (GDC), a next - generation platform that enables unprecedented data access, analysis and sharing for cancer research, publicly launched at the University of Chicago on June 6, opening the door to discoveries for this complex set of diseadata access, analysis and sharing for cancer research, publicly launched at the University of Chicago on June 6, opening the door to discoveries for this complex set of diseases.

The applicants must also assign at least one scientist from their group for the data analysis phase to ensure efficient knowledge transfer and longevity of the project beyond the actual data generation.

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.

Ongoing T2D research activities at CRGGH include 1) whole - exome sequencing of African families with at least four affected members (data generation is complete and analysis is ongoing), 2) GWAS of 1,200 cases and 1,200 controls from West Africa using the new and more efficient African - centric Affymetrix Axiom genome - wide array with more than 2 million markers, and 3) whole genome expression analysis on skeletal muscle obtained from biopsy from 45 subjects (expression QTL (eQTL) studies on the dataset are complete).

Moving from DNA barcoding to metabarcoding perfectly embodies the conceptual transition from single gene to massively parallel genome analysis, introducing students to Next Generation Sequence (NGS) analysis and data science.

Preference will be given to those with experience in analysis of next generation sequencing data.

«The proteomics field is now entering a third generation phase where large - scale protein analysis will provide unique quantifiable data on a subcellular level «says one of the participants in the EU funded PROSPECTS project Dr. Emma Lundberg from the Science for Life Laboratory Stockholm.

I hope that in 2017 and beyond, more funding agencies acknowledge the importance of funding data analysis, not just data generation.

Abecasis leads the University's Biostatistics department, which is training a new generation of scientists and making contributions to the statistical and computational machinery for the analysis of diverse types of biomedical data — including not only genomic data but also electronic health records, registry data and health surveys, a variety of imaging data types, and environmental exposures, among others.

Michael Schatz is a computational biologist and an expert at large - scale computational examination of DNA sequencing data, including the alignment, assembly, and analysis of next - generation sequencing reads.

Ellappan Babu, Yangzom Bhutia and Sabarish Ramachandran performed most of the experiments; Jaya Gnanaprakasam did the ELISA for cytokines; Puttur Prasad and Muthusamy Thangaraju were responsible for the design of the targeting vector used in the generation of the knockout mouse and also for the analysis of plasma amino acids; Vadivel Ganapathy was responsible for the design of the study, interpretation of the data, and writing of the manuscript.

MELGEN will explore emergent new techniques, for example the Sanger Institute (GRL) and ServiceXS will explore new approaches to genomic data generation from such samples and from fresh tumour and, critically, with other participant groups develop new statistical / bioinformatic approaches to data analysis.

The primary focus of the proposed session will be on clinical characterization, data generation, analysis and results, including implications for the specific diseases and traits, for gene discovery and for biologic and clinical utility.

Next Generation Science Standards (NGSS) emphasize hands - on learning and inquiry - based experimentation in the classroom with a focus on data collection and analysis.

The National Genomics Infrastructure (NGI) hosted at SciLifeLab offers large - scale DNA sequence data generation and analysis.

Under the supervision of the Digital Content Sales & Marketing Manager, responsibilities will include, but are not limited to: • Develop prospect lists the GOS team in building lists for marketing campaigns using Microsoft Excel • Contact key decision - makers, including appointment setting, cold - calling and other preliminary sales activities • Prospect research and analysis of opportunities (by school district, company, university size, budget etc.) • Help set up email templates and calling scripts • Help with prospect onboarding into platforms including Salesforce.com • Discovery and evaluation of new tools and processes to optimize data collection and lead generation

More than 200,000 new teachers start nationwide each year, up from 65,000 new teachers a year a generation ago, according to an analysis of the most recently available U.S. government data by the University of Pennsylvania.

Megan's work focuses on fostering district - wide assessment and data literacy and implementing a balanced assessment strategy, including conducting research on next generation assessments, coordinating the development and adoption of new assessments, and providing professional development to build assessment literacy through the use of robust data analysis protocols.

Collaborating with local partners, including the Ministry of Education in Zambia, data generation includes an analysis of school documents and semi-structured interviews with teachers, school leadership, and students with disabilities in Lusaka, Zambia.

The interior features Jet Black RECARO ® race - inspired sport seats, the Performance Data Recorder system featuring COSWORTH Toolbox analysis software, UltraView sunroof, the industry — first Rear Camera Mirror and the next - generation Cadillac user experience infotainment system.

Throughout, comparative analyses of data from countries as France, the United Kingdom, Ireland, Germany, Belgium, Sweden, Switzerland, Hungary, and Australia help portray how lone parenthood varies between regions, cultures, generations, and institutional settings.

Our writers can provide you with the full thesis writing or any separate chapter you are in need: introduction, literature review, methodology, data generation and analysis, results discussion and conclusion.

Her work falls along the lines of music generation, data sonification, AI, and sentiment analysis.

Massive subsidies, private and public labor power, as well as entrepreneurial, government, and military capital flow into the generation, gathering, and analysis of data.

The Electric Generation companion brief presents EnergyVision 2030's complete data and analysis for the key area of Electric Generation.

It builds on recent improvements in models, in the reanalysis of climate data, in methods of initialization and ensemble generation, and in data treatment and analysis to propose an extended comprehensive decadal prediction investigation as a contribution to CMIP6 (Eyring et al., 2016) and to the WCRP Grand Challenge on Near Term Climate Prediction (Kushnir et al., 2016).

Get exclusive analysis, data and research to help you plan for the rapidly changing future of natural gas - fired and coal - powered energy generation.

Moderator: Bill in DC asks — In your analysis, what data and assumptions did you make regarding energy efficiency potential in the end - use and power generation sectors, and what cost assumptions did you make for those resources?

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At a minimum, the project must include generation of lab - scale data, or must provide pre-existing data, showing the potential value of the advanced technologies through the project system analyses.

Following a detailed analysis of year - end data issued by the Independent Electricity System Operator (IESO) and Ontario Power Generation (OPG), the Ontario Society of Professional Engineers (OSPE) is reporting that in 2016, the province wasted a total of 7.6 terawatt - hours (TWh) of clean electricity — an amount equal to powering more than 760,000 homes for one year, or a value in excess of $ 1 billion.

The analysis is based on German hourly generation data from Franhofer ISE, and French hourly generation data RTE - France, as of February 6, 2017.