Sentences with phrase «with computational approaches»

The Cancer Genome Atlas is using genomic, transcriptomic, and epigenomic measurements of cancer cells, coupled with computational approaches and rich clinical data, to understand the dysfunctions that underline the onset, progression, and spread of cancer.

With computational approaches to integrate many different types of data, scientists can narrow the list down to a handful of mutations and make it much easier to test in the laboratory or clinic.

«The advantage of starting with the computational approach is we can try lots of different combinations very cheaply and find ones that might be worth experimenting with in the lab,» said Axel van de Walle, associate professor of engineering and co-author of the study with postdoctoral researcher Qijun Hong.

Not exact matches

Faced with the conflicting body of experimental work, the researchers took a computational approach to the problem and designed a new method to simulate the effects of broadband radio noise along the birds» routes.

«Our goal with this paper is to make people aware of this approach, which makes good use of experimental data and advances in computational modeling,» Rand says.

Bolton combined these human hearing models with model checking (an automated, computational approach for finding problems in complex systems) to assess masking in a common patient - monitoring device with six different alarms.

«Climate science is a «data - heavy» discipline with many intellectually interesting questions that can benefit from computational modeling and prediction,» said Dovrolis, a professor in the School of Computer Science, «Cross-disciplinary collaborations are challenging at first — every discipline has its own language, preferred approach and research culture — but they can be quite rewarding at the end.»

To address these questions, his laboratory develops and applies state - of - the - art computational and mass spectrometry — based metabolomics approaches and integrates them with current molecular, systems - level, and population - based methodologies.

«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.»

Her team integrates both computational and experimental approaches to explore how perturbations to these gene networks can alter morphology, both within a species and across the grasses, with the ultimate goal of defining targets for improving grain yield in cereals.

Holt et al, at the University of Minnesota, with collaborators at UC Santa Barbara, demonstrate their approach in a computational model of the brain.

The approach combined experimental synthetic biology led by Mark Isalan, now Reader in Gene Network Engineering at the Department of Life Sciences of Imperial College London with computational modelling led by James Sharpe, ICREA Research Professor and head of the Multicellular Systems Biology lab at the CRG.

«It's a powerful example of what can be learned through combining state of the art microscopy techniques with predictions from advanced computational approaches,» says James LeBeau, an assistant professor of materials science and engineering at NC State, co-author of the paper, and the creator of the revolving STEM technique.

This recent success demonstrates that with good experimental backing, the synergy between experimental and computational approaches to drug design can significantly advance the discovery process.

Combined with the right computational approaches, scNMT - seq has the potential to reveal undiscovered mechanisms of gene regulation, both in development and disease.»

The researchers suggest, that although grammar as a whole might not be a better tool for examining language change, a more nuanced approach that combined computational methods with large - scale databases of both grammar and lexicon could allow for a look into the deeper past.

The announcement encourages proposals with computational or engineering approaches to biology.

Integration of our genomics, genetics, cell biological and biochemical approaches, supported with computational data mining, provides insight into the multi-layered gene expression networks and of regulatory strategies orchestrating biological processes.

In keeping with HHMI's «people, not projects» approach to funding, this competition is open to those dedicated to basic research from both doctoral and / or medical training paths in the biomedical and life science disciplines, including plant, evolutionary, chemical and computational biology, as well as biophysics and biomedical engineering.

He brings an interdisciplinary and systematic approach through his extensive experimental knowledge and computational modeling with an understanding of biological, physiological, and physical processes.

With CXMS, protein regions within extremely close proximity to each other are chemically linked together, and then identified using state - of - the - art mass spectrometry and computational approaches.

... researchers working with magnetic nanoparticles at the University of California, Los Angeles (UCLA), and the US Department of Energy's (DOE's) Lawrence Berkeley National Laboratory (Berkeley Lab) approached computational scientists at DOE's Oak Ridge National Laboratory (ORNL) to help solve a unique problem: to model magnetism at the atomic level using experimental data from a real nanoparticle.

He is approaching the problem from several directions, with crystallography and EM, supplemented by computational approaches and biological assays.

Computational biology operates with a variety of tools on different levels of complexity, starting with very strict and algorithmic approaches like molecular simulations and finishing with statistical and heuristic techniques.

PNNL scientists significantly advanced understanding of the driving forces behind particle - based crystal growth with their new computational approach.

Recently, Maria Sushko and Kevin Rosso at Pacific Northwest National Laboratory (PNNL) significantly advanced understanding by clarifying the driving forces behind particle - based crystal growth with their new computational approach.

With innovations in proteomics and computational approaches, scientists can narrow the list down to a handful of mutations and make it much easier to test in the laboratory or clinic.

Unfortunately, with large numbers of samples and increasingly dense genomic data, this two - step approach carries a significant computational burden.

«These discoveries were enabled by the team approach to science at Gladstone, with three labs contributing diverse expertise and working side by side,» stated Dr. Pollard, whose lab brought computational modeling expertise to understand the vast data that was collected.

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.

To address this question, we established a novel approach that combines the quantitative phenotypic variability of wild ‐ type Arabidopsis roots with computational data from mathematical models.

The goal of her laboratory is to combine high - resolution computational reconstructions of the microbiome with synthetic biology to devise innovative approaches to create novel therapeutic interventions and investigate the underlying ecology of skin microbial communities.

Challenges to this approach include the need for innovation in machine learning algorithms and balancing the computational cost of high - resolution simulations with the value of the information they provide.

The Van Oudenaarden group uses a combination of experimental, computational, and theoretical approaches to quantitatively understand decision ‐ making in single cells, with a focus on questions in developmental and stem cell biology.

They are developing novel computational approaches that combine molecular interaction and pathway information with «omics data to develop clinically predictive models and identify therapeutically targetable pathways.

Using novel computational and biochemical approaches, scientists have accurately designed and built from scratch 10 large protein icosahedra — polyhedra with 20 faces — similar to viral capsids...

Crucial for our success is the experimental validation of our computational approaches which we pursue in our laboratory or in collaboration with other scientists.

This AACR Special Conference will cover the state of the art in understanding the disease of cancer from incident to early diagnosis, prevention, and treatment, with an emphasis on approaches that use big data and new computational methods such as machine learning.

The EcoMOD (Model / Modify, Observe, Design) project will build on and extend our prior EcoMUVE curriculum for middle school, using a design - based research approach to combine an immersive virtual environment with hands - on interactive modeling through a scaffolded computational interface.

Setting students loose on these types of experiences develops systems thinking skills, computational expertise with big - data, and multiple approaches to complexity.

While computational advances alone will not bring about a resolution of the low - cloud problem soon, recent computational advances, paired with the availability of unprecedented observational data, do enable new approaches to the parameterization problem.

However, with recent developments in modelling approaches and computational resources examining the potential impacts of changes in storminess has become feasible, as exemplified by studies of Muis et al (2016), who used the first dynamic global storm surge model to simulate past water levels for the global coast, or Vousdoukas et al (2016), who simulated future storm surge changes along the entire European coast.

Challenges to this approach include the need for innovation in machine learning algorithms and balancing the computational cost of high - resolution simulations with the value of the information they provide.

Whenever all three theoretical approaches (physical, geometric, and computational) lead to the same conclusion, and moreover agree with experiments and observation, then confidence is justified.

Although well studied with computational modelling approaches (Smith et al. 2008), the study of culture — gene coevolutionary theory of human behaviour has not yet received widespread empirical attention.