Sentences with phrase «for computational analysis»

If laws were drafted in a syntax designed to allow for computational analysis of their outcomes, and if those codes were open source, and could be examined and tested by anyone, then we could build tools that allowed people to test how the law would react to given scenarios.

This is also the first attempt to create a representative and balanced dataset of folk and traditional music around the world for computational analysis.

Not exact matches

Thus, non-deterministic (or non-predictable) outcomes must occur for all dynamical systems if they are examined at a sufficiently refined scale of computational analysis.8

Data access and analysis tools are being made available for the 3K RGP dataset through the International Rice Informatics Consortium (IRIC), which promotes collaboration in bioinformatics analysis of rice data and provides computational tools to facilitate rice improvement via discovery of new gene - trait associations and accelerated breeding.

The strongest research methods for psychological studies are: qualitative findings versus quantitative; experimental rather than descriptive or correlational; controlled - experiment, meta - analysis, and observation designs over archival, case study, computational modeling, content analysis, field experiment, interview, neuroimaging, quasi experiment, self - report inventory, random sample survey, or twin study; and prospective (where subjects are recruited prior to the proposed independent effects being administered) and longitudinal (where subjects are studied at multiple time points) rather than retrospective or cross-section study.

We differentiated between computational approaches (either based on volume data, such as the number of mentions related to a party or candidate or the occurrence of particular hashtags; or endorsement data, such as the number of Twitter followers, Facebook friends or the number of «likes» received on Facebook walls), sentiment analysis approaches, that pay attention to the language and try to attach a qualitative meaning to the comments (posts, tweets) published by social media users employing automated tools for sentiment analysis (i.e., via natural language processing models or the employment of pre-defined ontological dictionaries), and finally what we call supervised and aggregated sentiment analysis (SASA), that is, techniques that exploit the human codification in their process and focus on the estimation of the aggregated distribution of the opinions, rather than on individual classification of each single text (Ceron et al. 2016).

Producing a short list of strong candidates was in itself a feat, accomplished by applying the right filters to analysis of human and chimpanzee genomes, said co-author Gregory Wray, professor of biology and director of the Duke Center for Genomic and Computational Biology.

After five years of deep genomic analysis, Garry Nolan, PhD, professor of microbiology and immunology at Stanford, and Atul Butte, MD, PhD, director of the Institute for Computational Health Sciences at the University of California - San Francisco, have pinpointed the mutations responsible for the anomalous specimen.

Thanks to the computational model, the researchers were able to measure the processes and to conduct distinct genetic analyses for the specific mental processes.

Work at Janelia will focus on two areas, «the identification of general principles that govern how information is processed by neuronal circuits, [and] the development of imaging technologies and computational methods for image analysis,» as HHMI puts it on their Web site.

In addition, using methods for the analysis of regulatory networks developed by the Califano lab in the Center for Computational Biology and Bioinformatics, Department of Systems Biology, the researchers identified a number of transcription factors (gene regulators) that have the potential to mimic the environmental signals that trigger papillae to induce new hair growth.

Careful attention to phenotyping diseases, facilitated by our knowledge of the human genome and computational analysis, has allowed observant physicians and physician - scientists to identify and categorize diseases in a manner that has informed basic science, given it new contexts, and in many instances provided important new directions for investigation.

«We will develope a series of computational methods for drug combination prediction, modeling and data analysis.

But until the advent of sophisticated tools for genetic and computational analysis, scientists had no way of studying the genetic machinery that enables regeneration.

By using computational algorithms for network analysis, virtual pathways can be constructed to determine possible metabolic products.

In one case, Yandell and colleagues used Phevor and another computational tool, VAAST (Variant Annotation, Analysis, Search Tool), to look for the likely mutation in an immunodeficiency syndrome found in three of four members in a family.

Planetary scientist Will Grundy of Lowell Observatory in Flagstaff, Ariz., and colleagues used images of Charon taken by the New Horizons spacecraft and computational analysis to demonstrate that methane from Pluto is a reasonable culprit for Charon's rust - colored pole.

His lab has pioneered the development of quantitative experimental and computational methods for metabolic flux analyses.

Contact: 508-289-7139; [email protected] WOODS HOLE, Mass. — Using a simple «mirror trick» and not - so - simple computational analysis, scientists affiliated with the Marine Biological Laboratory (MBL) have considerably improved the speed, efficiency, and resolution of a light - sheet microscope, with broad applications for enhanced imaging of live cells and embryos.

To bring all these data together for analyses, we leverage recently developed, dedicated computational approaches [27].

«Analysis of metastatic prostate cancers suggests treatment options: Study maps out abnormal signaling pathways in prostate cancer cells and provides computational approaches to identify individualized targets for therapy.»

My research interests include computational methods for analyzing tumor heterogeneity, driver gene identification in cancer, and detecting bias in biological network analyses.

My group's research focuses on the development of new computational methods for analysis of DNA from the latest sequencing technologies.

We're rolling out new workshops and webinars on topics like Probabilistic Seismic Hazard Analysis (PSHA) and computational seismology, providing enhanced support for student and early - career members, and creating a strong network of advocates for geosciences — more important now than ever before — through our public policy programs in Washington, D.C. Membership is an introduction to a growing and global community preparing for our first joint meeting with the Latin American and Caribbean Seismological Commission in April 2018.

We also want to make it easy for computational researchers to develop and share new analysis approaches.

We intend to provide a few simple portals as a starting point, but new portals can be developed by anyone in the scientific or computational community, for a wide diversity of use cases, including: clustering, differential interference, spatial reconstruction, visualization, and graph - based analysis.

Dates: September 2015 — October 2017 Project Title: A high - throughput mathematical and computational model for mapping allosteric mechanisms by correlation analysis of residue - residue contacts

The system — a computational analysis tool that assigns behavior to individual frames of video — allowed for the sensitive, effective and efficient scrutiny of millions of video frames.

Computational biologists: Download an integrated set of pathways in BioPAX format for global analysis.

UNISI hosts a unit of Systems Biology and Bioinformatics, equipped with the necessary infrastructure for data storage and high - performance computational analyses.

Our experimental and theoretical analysis draws upon nuclear magnetic resonance (NMR) spectroscopy, a variety of microscopy techniques such as transmission electron microscopy, computation tools such as the NWChem for high - performance computational chemistry as well as supercomputers, and other tools.

In the Science article, the authors identify areas of emphasis for initial development, including genetic and chemical analysis of microbes, imaging and visualization technology, computational modeling and informatics and development of model systems.

Background KeyGene's innovation platform for Genomic Breeding comprises technologies for complex trait analysis, digital phenotyping, and the computational design of breeding strategies.

Darryl Pappin's lab develops chemical and computational methods for analysis of proteins and peptides.

Rainer Winnenburg (Schroeder, TUD)-- «Mutations and their role in protein interactions and diseases: Computational methods for automated retrieval, analysis and application» (2011)

Mats Nilsson demonstrated a unique technology to reveal cells harboring specific mutations in tissue sections, while Ruedi Aebersold held an impressive lecture, illustrating about how powerful mass spectrometry provides a basis for for computational analyses, commented moderator Ulf Landegren.

Göttingen, Germany (2010 - 2015) Research areas: Super-resolution microscopy (STED, 4Pi microscopy, RESOLFT), computational modeling and data analysis This section includes my PhD thesis carried out in the Department of NanoBiophotonics of Prof Stefan Hell at the Max Planck Institute for Biophysical Chemistry in Göttingen, Germany: (8) 4Pi - RESOLFT nanoscopy»

We're looking for a postdoc to work on computational analysis of disease - associated and other functional variation in human genomes!

We are active members of the Genotype Tissue Expression (GTEx) project, and use the GTEx data for most of our computational analyses.

Stem Cell Informatics (SCI) develops custom laboratory information systems (LIMS) and computational research tools (WGE) for high - throughput laboratory analysis of human stem cells.

Braving culture shock and a formidable language barrier, Hur joined the lab of Santa Barbara organic chemist Thomas Bruice, known for his work on the computational analysis of enzyme reactions.

Dr. Pollard's lab develops statistical and computational methods for the analysis of massive genomic datasets.

CCA's mission is to develop the computational tools needed for these simulations and analyses.

Our laboratory develops statistical and computational methods for the analysis of massive genomic datasets.

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.

«Our experimental and computational analyses could enable quantitative prediction for any gene, pathway or organism.»

We report unbiased metagenomic detection of chikungunya virus (CHIKV), Ebola virus (EBOV), and hepatitis C virus (HCV) from four human blood samples by MinION nanopore sequencing coupled to a newly developed, web - based pipeline for real - time bioinformatics analysis on a computational server or laptop (MetaPORE).

For a systems - level understanding of all crucial protein interactions during cell division, we are combining automated single molecule calibrated imaging and computational data analysis with advanced machine learning and modelling approaches to build an integrated protein atlas of the human dividing cell.

The Salzberg lab is a computational biology lab that develops novel methods for analysis of DNA and RNA sequences.

For example, the Keck and Gemini telescopes offer high - resolution spectroscopic capabilities that, combined with theoretical analysis and computational modeling, can yield insight into the dynamics, chemical composition, and evolutionary state of the objects imaged from space as well as a wealth of other astronomical phenomena detected from the ground.