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Scientist studies roundworms to understand how human cells die

Scientist studies roundworms to understand how human cells die
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Texas
United-states
Clay-clark
Greg-pederson
Piya-ghose
National-institutes-of-health
College-of-science
Investigator-research-award-outstanding-grant
National-institute
Department-of-biology
University-of-texas-at-arlington
National-institutes

Novel microscopy method at UT Southwestern provides look into future of cell biology

Novel microscopy method at UT Southwestern provides look into future of cell biology
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Melbourne
Victoria
Cambridge
Cambridgeshire
United-kingdom
South-san-francisco
Texas
Philippe-roudot
Vasanths-murali

San Antonio officials entice biomedical venture with tax breaks

Rutgers Cancer Institute of New Jersey Leader Elected as a Member to the National Academy of Sciences

Rutgers Cancer Institute of New Jersey Leader Elected as a Member to the National Academy of Sciences Eileen White, PhD Newswise New Brunswick, N.J., April 27, 2021 – Rutgers Cancer Institute of New Jersey Deputy Director, Chief Scientific Officer, and Associate Director for Basic Research Eileen White, PhD, has been elected to the National Academy of Sciences (NAS). She is among 120 members elected this year in recognition of their distinguished and continuing achievements in original research. The NAS is a private, non-profit society of distinguished scholars charged with providing independent, objective advice to the nation on matters related to science and technology. Members are elected to the NAS by their peers for their outstanding contributions to science. Election to membership in the NAS is considered one of the highest honors that a scientist can receive.

United-states
Rutgers-university
New-jersey
New-brunswick
Texas
Stony-brook
American
Eileen-white
Stevenk-libutti
National-cancer-institute
American-society-of-microbiology
Excellence-at-rutgers-cancer-institute

Novel guidelines help select optimal deconvolution method

Date Time Novel guidelines help select optimal deconvolution method Biomedical scientists are increasingly using deconvolution methods, those used to computationally analyze the composition of complex mixtures of cells. One of their challenges is to select one method that is appropriate for their experimental conditions among nearly 50 available. To help with method selection, researchers at Baylor College of Medicine and the Jan and Dan Duncan Neurological Research Institute at Texas Children’s Hospital have extensively evaluated 11 deconvolution methods that are based on RNA-sequencing (RNA-seq) data analysis, determining each method’s individual strengths and weaknesses in a variety of scenarios. From these analyses, the researchers derived guidelines that scientists can use to determine the deconvolution method that optimally fits their needs. The study appears in the journal Genome Biology.

Houston
Texas
United-states
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Haijing-jin
Zhandong-liu
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Dan-duncan-neurological-research-institute
Huffington-foundation
National-institute
Cancer-prevention-research-institute-of-texas
Baylor-college

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