Daily Archives: October 15, 2014

Nuclear Vs. Chloroplast Genetic Engineering – Video

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Nuclear Vs. Chloroplast Genetic Engineering

By: Biological Sciences Education

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Nuclear Vs. Chloroplast Genetic Engineering - Video

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Genetic Engineering And Gene-Splicing Experiments – Video

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Genetic Engineering And Gene-Splicing Experiments

By: Biological Sciences Education

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Genetic Engineering And Gene-Splicing Experiments - Video

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Deadly EBOLA disease – Genetic Engineering in Field Trial Financed by the Pentagon? – Video

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Deadly EBOLA disease - Genetic Engineering in Field Trial Financed by the Pentagon?
Ebola is a deadly disease , are now being be the biggest problem in the world , Deadly EBOLA disease - Genetic Engineering in Field Trial Financed by the Pen...

By: ANDRI STAR TV

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Deadly EBOLA disease - Genetic Engineering in Field Trial Financed by the Pentagon? - Video

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Can big data make sense of climate change?

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PUBLIC RELEASE DATE:

14-Oct-2014

Contact: Kathryn Ryan kryan@liebertpub.com 914-740-2100 Mary Ann Liebert, Inc./Genetic Engineering News @LiebertOnline

New Rochelle, October 14, 2014 Big Data analytics are helping to provide answers to many complex problems in science and society, but they have not contributed to a better understanding climate science, despite an abundance of climate data. When it comes to analyzing the climate system, Big Data methods alone are not enough and sound scientific theory must guide data modeling techniques and results interpretation, according to an insightful article in Big Data, the highly innovative, peer-reviewed journal from Mary Ann Liebert, Inc., publishers. The article is available free on the Big Data website.

In "A Big Data Guide to Understanding Climate Change: The Case for Theory-Guided Data Science," James Faghmous, PhD and Vipin Kumar, PhD, The University of Minnesota--Twin Cities, explore the challenges and opportunities for mining large climate datasets and the subtle differences that are needed compared to traditional Big Data methods if accurate conclusions are to be drawn. The authors discuss the importance of combining scientific theory and First Principles with Big Data analytics and use examples from existing research to illustrate their novel approach.

"This paper is a great example of leveraging the abundance of climate data with powerful analytical methods, scientific theory, and solid data engineering to explain and predict important climate change phenomena," says Big Data Editor-in-Chief Vasant Dhar, Co-Director, Center for Business Analytics, Stern School of Business, New York University.

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About the Journal

Big Data , published quarterly in print and online, facilitates and supports the efforts of researchers, analysts, statisticians, business leaders, and policymakers to improve operations, profitability, and communications within their organizations. Spanning a broad array of disciplines focusing on novel big data technologies, policies, and innovations, the Journal brings together the community to address the challenges and discover new breakthroughs and trends living within this information. Complete tables of content and a sample issue may be viewed on the Big Data website.

About the Publisher

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Can big data make sense of climate change?

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Current models for predicting outcomes after mild traumatic brain injury perform poorly

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PUBLIC RELEASE DATE:

14-Oct-2014

Contact: Kathryn Ryan kryan@liebertpub.com 914-740-2100 Mary Ann Liebert, Inc./Genetic Engineering News @LiebertOnline

New Rochelle, NY, October 14, 2014For the 5-15% of patients with mild traumatic brain injury (mTBI) who will have lingering physical, behavioral, or cognitive problems 3 to 6 months after their injury, identification of this at-risk population is essential for early intervention. Existing models used to predict poor outcomes after mTBI are unsatisfactory, according to a new study, and new, more relevant predictive factors are different than those used in cases of moderate or severe TBI, as described in the study published in Journal of Neurotrauma, a peer-reviewed journal from Mary Ann Liebert, Inc., publishers. The article is available free on the Journal of Neurotrauma website at http://online.liebertpub.com/doi/pdfplus/10.1089/neu.2014.3384 until November 14, 2014.

Hester F. Lingsma and a multidisciplinary, international team of authors evaluated two existing prognostic models for mTBI in patients selected from the TRACK-TBI Pilot observational study carried out at three medical centers in the U.S. Both models performed poorly. Based on further analysis, the authors identified older age, pre-existing psychiatric conditions, and less education as the three strongest predictors of poor outcomes, as they report in the article "Outcome Prediction after Mild and Complicated Mild Traumatic Brain Injury: External Validation of Existing Models and Identification of New Predictors Using the TRACK-TBI Pilot Study."

John T. Povlishock, PhD, Editor-in-Chief of Journal of Neurotrauma and Professor, Medical College of Virginia Campus of Virginia Commonwealth University, Richmond, notes that, "this is an extremely important study utilizing the TRACK-TBI database. This meticulously performed investigation highlights the dangers in assessing outcome following mTBI, emphasizing that other comorbid factors such as older age, preexisting psychiatric disorders, and less education, perhaps a function of socioeconomic status, can negatively impact outcome. This important communication should be considered routinely as we move forward in our assessments of outcomes following mTBI, whether or not these outcomes are framed in the context of advanced imaging, biomarker evaluation, and/or other metabolic/functional screens."

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About the Journal

Journal of Neurotrauma is an authoritative peer-reviewed journal published 24 times per year in print and online that focuses on the latest advances in the clinical and laboratory investigation of traumatic brain and spinal cord injury. Emphasis is on the basic pathobiology of injury to the nervous system, and the papers and reviews evaluate preclinical and clinical trials targeted at improving the early management and long-term care and recovery of patients with traumatic brain injury. Journal of Neurotrauma is the official journal of the National Neurotrauma Society and the International Neurotrauma Society. Complete tables of content and a sample issue may be viewed on the Journal of Neurotrauma website at http://www.liebertpub.com/neu.

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Current models for predicting outcomes after mild traumatic brain injury perform poorly

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Giant gene banks take on disease

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Joe Raedle/Getty

Vast stores of DNA samples and data have been produced by the increasing pace of genetic sequencing.

Early last year, three researchers set out to create one genetic data set to rule them all. The trio wanted to assemble the worlds most comprehensive catalogue of human genetic variation, a single reference database that would be useful to researchers hunting rare disease-causing genetic variants.

Unlike past big data projects, which have involved large groups of scientists, this one deliberately kept itself small, deploying just five analysts. Nearly two years in, it has identified about 50million genetic variants points at which one persons DNA differs from anothers in whole-genome sequence data collected by 23other research collaborations. The group, called the Haplotype Reference Consortium, will unveil its database in San Diego, California, on 20October, at the annual meeting of the American Society of Human Genetics.

Geneticists have not always been so willing to share data. But that seems to be changing. Its been surprisingly easy to bring all these data sets together, says Jonathan Marchini, a statistical geneticist at the University of Oxford, UK, and one of the consortiums leaders. There is a lot of goodwill between the people in the field; they all understand the benefits of doing this and have worked hard to make their data available.

In the past five years, there has been an explosion in rates of sequencing human genomes thanks to the falling cost of the technology. At the same time, geneticists have realized that linking genes to diseases and traits will require much bigger sample sizes than any one research centre can assemble.

It was once assumed that common diseases and traits could be traced to a few common genetic variants that would be relatively easy to find. But that has turned out not to be the case. It is now clear that thousands of different variants each play a small part in determining a persons height or risk of schizophrenia, for example. And finding those thousands of variants means looking at a daunting number of people. At the same time, the increased pace of genetic sequencing has made it possible to collect enough genomes to uncover those variants.

Here are a bunch of data sets that individually cost millions of dollars to generate, and you have people willing to make that data available to a shared resource, which is amazing, says geneticist Daniel MacArthur of Massachusetts General Hospital in Boston.

MacArthur is part of the Exome Aggregation Consortium, another attempt to create a supersized library of human genetic variation. On 20October, MacArthur and his colleagues plan to unveil their own public database containing the protein-coding portions, or exomes, of 63,000 human genomes originally gathered by other researchers. We can say from looking at a very large cohort of peoplethis is what the distribution of rare variation looks like, says MacArthur. And that is very powerful.

MacArthur is developing tools to comb the data for mutations that disable genes. Only some of these loss-of-function mutations cause harm; predicting which are pathogenic will require knowing more about which ones regularly occur in healthy people.

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Giant gene banks take on disease

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Clinical Laboratory Services Market By Test (Human & Tumor Genetics, Clinical Chemistry), By Service Provider …

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San Francisco, California (PRWEB) October 14, 2014

Global clinical laboratory services market is expected to reach USD 261.42 billion by 2020, according to a new study by Grand View Research, Inc. The demand for early diagnosis in order to render effective therapeutic interventions is on a constant rise. Wide range of diagnostic tests encompassed in the clinical laboratory services segment coupled with increasing incidence rates of infectious and chronic diseases is expected to drive market growth during the forecast period. In addition, presence of untapped growth opportunities and the rapidly improving healthcare infrastructure in emerging markets such as China, India and Brazil are expected to offer growth opportunities for industry participants.

View full report with TOC at http://www.grandviewresearch.com/industry-analysis/clinical-laboratory-services-market

Clinical chemistry based services dominated the overall market, accounting for over 45.0% of the revenue share in 2013, owing to the fact that these tests are a part of the initial disease diagnostic process and thus are carried out in large volumes.

Request free sample of this report at http://www.grandviewresearch.com/industry-analysis/clinical-laboratory-services-market/request

Further key findings from the study suggest:

Browse all reports of this category at http://www.grandviewresearch.com/industry/clinical-diagnostics

For the purpose of this study, Grand View Research has segmented the global clinical laboratory services market on the basis of test type, service provider and region:

Browse all upcoming reports by Grand View Research at http://www.grandviewresearch.com/ongoing-reports

About Grand View Research

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Clinical Laboratory Services Market By Test (Human & Tumor Genetics, Clinical Chemistry), By Service Provider ...

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