Category Archives: Computing in research

Data Management Plan Presentation – Wed., March 28th

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Data Management Plan Presentation

Wednesday, March 28, 12:00 – 1:00 pm

347 Lewis Science Library, Washington Road & Ivy Lane
[Lunch will be provided. RSVP here.]

This one-hour presentation by PU librarians, OIT and PICSciE/Research Computing staff is open to Princeton researchers, graduate students and grants personnel. Please share with those who may benefit from this presentation.

Topics

  • Why manage research data?
  • Elements of data management
  • How to write a data management plan
  • Common data management issues
  • Best practices for managing research data
  • Resources and support on campus

Best of the Web, GEN (Vol. 37, No. 8) SciPy PYTHON

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“Computer programming is becoming (or rather, already has become) an essential skill for modern-day life scientists. A popular programming language in many fields is Python, in large part due to its open-source development. As a result, there exist many free resources available to both experienced and novice Python users. A large collection of such resources can be found on SciPy.org, home of a number of scientific and computational software packages/libraries for Python. In addition to offering free downloads of those packages, the SciPy website also includes SciPy Central (a collection of useful Python code snippets), a blog, documentation for the various software packages, and a place for users to report bugs. Site visitors in search of even more information can browse the SciPy Cookbook, a collection of user-contributed “recipes” that span topics such as graphics, linear algebra, simple plotting, and differential equations.”

Genetic Engineering & Biotechnology News, April 15, 2017,  URL:scipy.org

Rated “Excellent”, free software downloads, good documentation

Climate Change: Vital Signs of the Planet

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Source:  The Scout Report — Volume 22, Number 16

scout@scout.wisc.edu

  
climate.nas= a.gov/climate_resource_center/interactives
“NASA’ s Global Climate Change: Vital Signs of the Planet website features a diverse set of resources related to the measurement, analysis, and dangers of global climate change. Here readers will find a collection of Interactive Features all designed to bring to life the sometimes abstract conclusions of scientific articles on climate and its effects on human and other life on Earth. For example, the Climate Time Machine allows readers to go backward and forward through four different key climate indicators, including Sea Ice, Sea Level, Carbon Dioxide, and Global Temperature. Perfect for educators who are looking for impactful visual representations of the rising temperatures on the planet, the interactive makes these measurements visceral in a way that charts and graphs are seldom able to do. Other interactives on the page include the Global Ice Viewer, Quizzes, The Sun: A Virtual Tour, The Water Cycle, and others. [CNH]”

Bioinformatics Organization

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From GEN’s “Best of the Web”, Jan. 15, 2014, there is a glowing review of http://www.bioinformatics.org  which makes available an assortment of resources for everyone, from beginners to experts.  There is introductory information, databases, software development projects, and analytical tools, such as PrimerX, which automate the design of mutagenic PCR primers.

GenEngNews – http://gen.epubxp.com/t/13060/2

Indiana Univ. to use cloud computing in life science research

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From today’s Fiercebiotech News, FierceBiotech IT [editors@fiercebiotechit.com]

By George Miller
"… Indiana University is spending $1.5 million from the National Institutes of Health on…high-end computing discovery tools. The Hoosiers’ Pervasive Technology Institute Digital Science Center is targeting cloud computing to support life science research.
In addition to busting computing bottlenecks, the center plans to use the cloud for analyzing sequencing data, the volume of which is "one to two orders of magnitude larger than possible with current computational capabilities," according to an industry article. Amazon Web Services, Microsoft Azure, and other open source software are expected to be part of the installation.
The center’s research team will partner with IU life science research teams to test the platform in such research areas as sequence assembly and population genomics. Cloud technologies will also be applied to gene family clustering and structural visualization.
The IU work is also supported by the National Science Foundation via its FutureGrid experimental supercomputing network project."
– see the article

There are other interesting stories too:

Pitt hits computing jackpot
Hoosiers tap cloud for sequencing
Nano, in vivo 3D gains for imaging
Remote imager to provide disease data

 click here to read it on the web.. or here:

http://www.uptilt.com/functions/message_view.html?mid=2164839&mlid=125589&siteid=8121&uid=4a81392a19