Category Archives: Genetic Engineering

Tyranny Totalitarianism Past, Present Future: The Future
What is the likely shape of tyranny in the future? Will it resemble the soft-despotism of Tocqueville? Will it be Orwellian political thought-control? Or the...

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Nuclear Vs. Chloroplast Genetic Engineering

By: Biological Sciences Education

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Nuclear Vs. Chloroplast Genetic Engineering - Video

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...

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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

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.

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Can big data make sense of climate change?

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

What is genetic engineering? Genetic engineering is the process of manually adding new DNA to an organism. The goal is to add one or more new traits that are not already found in that organism. Examples of genetically engineered (transgenic) organisms currently on the market include plants with resistance to some insects, plants that can tolerate herbicides, and crops with modified oil content.

Understanding Genetic Engineering: Basic Biology To understand how genetic engineering works, there are a few key biology concepts that must be understood.

Small segments of DNA are called genes. Each gene holds the instructions for how to produce a single protein. This can be compared to a recipe for making a food dish. A recipe is a set of instructions for making a single dish.

An organism may have thousands of genes. The set of all genes in an organism is called a genome. A genome can be compared to a cookbook of recipes that makes that organism what it is. Every cell of every living organism has a cookbook.

CONCEPT #2: Why are proteins important? Proteins do the work in cells. They can be part of structures (such as cell walls, organelles, etc). They can regulate reactions that take place in the cell. Or they can serve as enzymes, which speed-up reactions. Everything you see in an organism is either made of proteins or the result of a protein action.

How is genetic engineering done? Genetic engineering, also called transformation, works by physically removing a gene from one organism and inserting it into another, giving it the ability to express the trait encoded by that gene. It is like taking a single recipe out of a cookbook and placing it into another cookbook.

1) First, find an organism that naturally contains the desired trait.

2) The DNA is extracted from that organism. This is like taking out the entire cookbook.

3) The one desired gene (recipe) must be located and copied from thousands of genes that were extracted. This is called gene cloning.

4) The gene may be modified slightly to work in a more desirable way once inside the recipient organism.

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Genetic engineering leads to glow-in-the-dark plants
A small biotech company in San Francisco is using genetic engineering to develop plants that emit their own light,

By: CBC News

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Genetic engineering leads to glow-in-the-dark plants - Video

Can we bring animals back from extinction? - THE BIG FUTURE
Like in Jurassic Park, genetic engineering might allow us to save endangered species or even bring back extinct animals. Subscribe: http://www.youtube.com/subscription_center?add_user=theverge...

By: The Verge

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Can we bring animals back from extinction? - THE BIG FUTURE - Video

Mankind #39;s Creation from Alien Genetic Engineering Discovery Documentary HD Channel (Official)
We share information only for educational purposes More Video, Please Subscribe Join us : http://www.youtube.com/user/DocuDiscoveryTV?sub_confirmation=1 So...

By: Discovery Documentary HD Channel (Official)

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Mankind's Creation from Alien Genetic Engineering Discovery & Documentary HD Channel (Official) - Video