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Latest announcements
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November 3-4, 2015
Westin San Diego | San Diego, CA
http://www.healthtech.com/digital-pcr/
Polymerase chain reaction (PCR) is an invaluable tool for nucleic acid detection and quantification. As a staple in diagnostics labs, PCR has continued to evolve with scientific need, the latest iteration being digital PCR (dPCR). dPCR increases sensitivity, specificity, and in many cases allows higher throughput. Cambridge Healthtech Institute's Fourth Annual Digital PCR conference will continue to highlight the importance PCR advances for clinical diagnostics. As always, this event gathers technology providers, early adopters, and platform newcomers to network and discuss digital PCR's capabilities, limitations, and future applications. This year, key focus will be placed on the technology behind dPCR, interfacing between dPCR and NGS, and emerging technologies and areas of study. Other topics to be addressed include solutions for processing difficult samples and increasing sample throughput, working with extracellular DNA, and guidelines and best practices for digital detection.
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EXCERPT:
Robert Grass and colleagues of the Swiss Federal Institute of Technology (ETH) in Zurich said they have pioneered a process of encapsulated DNA in glass that is equivalent to creating a fossilised form of data storage.
They have also developed a mathematical algorithm normally used in long-distance radio transmissions to eliminate any errors when deciphering the data written in the digital genetic code of DNA.
SOURCE:
[link]
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Currently, I am in the process of editing a forthcoming publication entitled "Library and Information Services for Bioinformatics Education and Research", to be published by IGI Global, an international publisher of progressive academic research. I would like to take this opportunity to cordially invite you to submit your work for consideration in this publication.
Please visit [link] for more details regarding this publication and to submit your work. You can also find detailed manuscript formatting and submission guidelines at [link].
For additional information regarding the publisher, please visit http://www.igi-global.com. This publication is anticipated to be released in 2016.
IMPORTANT DATES:
Chapter Proposal Submission (500-1000 words) Deadline: September 15, 2015
Full Chapter Submission: January 30, 2016
Acceptance Notification: March 30, 2016
FOR MORE INFORMATION:
Feel free to contact Dr Shri Ram, Jaypee University of Information Technology, Solan 173234, India. Email: shriram2576[at]gmail.com
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EXCERPT:
In Hawaiian myth, the octopus is the lone survivor of an earlier, alien universe. If that were so, the octopus might be expected to have a neatly organized genome, one lacking any signs of having been reassembled from another world's wreckage. But in fact the octopus has a genome that seems a more jumbled version of other, less bizarre organisms.
That's just one observation that has come out of a genome sequencing project conducted by scientific teams from the University of Chicago, University of California, Berkeley, and Okinawa Institute of Science and Technology (OIST) as part of the Cephalopod Sequencing Consortium. This international collaboration was initiated by Nobel Laureate Sydney Brenner, founding president and a distinguished professor of OIST.
SOURCE:
[link]
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Following our success in the previous edited volume:
[link]
[link]
We would like to invite you to contribute a book chapter for our upcoming volume entitled "Big Data Analytics in Genomics" to be published by Springer (USA). The volume will be available both in print and in ebook format by early 2017 with Springer (USA).
The goal of this volume is to summarize the state-of-the-art in computational biology and bioinformatics methods for genomics. Topics of interest include (but not limited to):
* Genome Analysis
* Sequence Analysis
* Pattern Recognition
* Next-Generation Sequencing and Metagenomics
* SNPs and GWAS
* Protein/RNA Structure, Function and Interactions
* Genome Annotation and Analysis
* Structural Bioinformatics
* Gene Expression
* Systems Biology
* Network Analysis
* Machine Learning
* Biological Data Mining
* Big Data Analytics
* Visualization
Each contributed chapter is expected to present a novel research study, a comparative study, or a survey of the literature. Note that there will be no publication fees for accepted chapters.
IMPORTANT DATES:
Abstract submission opens: 2015-08-09 - 2015-12-31
Abstract editorial notification: 2015-08-09 - 2015-12-31
Chapter submission deadline: 2016-01-31
Chapter review notification: 2016-03-31
Final version deadline: 2016-04-30
All submissions should be done via EasyChair: [link]
Sincerely,
Ka-Chun Wong
wkc AT cs DOT toronto DOT edu
http://www.cs.utoronto.ca/~wkc/
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EXCERPT:
IBM has teamed up with CVS Health, the operator of thousands of drugstores across the US, in a bid to more accurately predict a person's health troubles and provide advice.
The two companies have formed a partnership that will feed IBM's Watson "cognitive computing" computer, a machine that's capable of understanding natural language and learning as it collects more data, with a wide range of healthcare information, including medical health records, medical claims, and pharmacy purchases, to predict a person's risk for several deadly or debilitating diseases. Those diseases include hypertension, heart disease, diabetes and obesity. The companies have hit on a major segment of the healthcare market: People suffering from those diseases make up 86 percent of the $2.9 trillion spent each year in the US on healthcare costs.
SOURCE:
[link]
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BIRCH is
* A comprehensive desktop bioinformatics system which comes with many of the commonly-used bioinformatics programs pre-installed
* A framework of tools, files, and documentation for organizing and managing a bioinformatics core facility
* An expandable system that allows you to merge 3rd party programs and documentation seamlessly into the standard BIRCH distribution
NEW:
* Artemis - The Artemis sequence viewer/annotator has been updated to version 16.0.0. Integration of Artemis with BioLegato.
* First time setup documentation has been added for the MacOSX desktop.
* Automated customization for settings and Helper Applications
* Bug fixes and simplification of how BIRCH works in behind the scenes.
FOR MORE INFORMATION:
Please visit [link]
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EXCERPT:
What's good for patients is also good for business. The painkiller market alone is worth $18 billion a year. The industry is pressing ahead with research into genetic irregularities. The U.S. Food and Drug Administration is expected to approve a cholesterol-lowering treatment on July 24 from Sanofi and Regeneron Pharmaceuticals based on the rare gene mutation of an aerobics instructor with astoundingly low cholesterol levels. Amgen has a similar cholesterol drug, based on the same discovery, and expects U.S. approval in August. The drugs can lower cholesterol when statins alone don't work. They are expected to cost up to $12,000 per patient per year and bring in more than $1 billion annually.
SOURCE:
[link]
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EXCERPT:
Both health care providers and patients can contribute via smartphone data that is immediately rendered anonymous. Powerful analytics then sift through that data, along with information from other sources, like physicians' notes, clinical guidelines and journal articles, to provide treatment recommendations. "As more data are added, patterns emerge that you could not have seen in just one patient or even in bigger clinical trials where positive responses from one or two patients get lost in the rest of the data," [Marty] Tenenbaum explains.
In theory, doctors would tap the database for insights into how to treat a patient based on the experiences of super responders and other patients who share the same genetic mutations and other genomic characteristics. Patients can also query the database. Together, doctors and patients will form a knowledge network around certain genetic mutations that Tenenbaum envisions as "similar to LinkedIn."
SOURCE:
[link]
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September 21-24, 2015
Boston, MA, USA
http://www.discoveryontarget.com/
Cambridge Healthtech Institute will host its 13th Annual Discovery on Target event showcasing current and emerging "hot" targets for the pharmaceutical industry. Spanning five days, the event attracts 1,000+ attendees (from 21 countries), composed of scientists/technologists, executives, directors, and managers from biopharma, academic, and healthcare organizations. In 2015 the event is comprised of 15 conference tracks, 3 Symposia, 15 short courses, 35+ interactive breakout discussion groups, an exhibit hall of 65 companies, and dedicated poster viewing and networking sessions. The 13th Annual Discovery on Target event assembles an impressive group of 200+ distinguished speakers who look forward to sharing their knowledge, best practices, and expertise with all attendees.
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| Acknowledgments |
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We wish to thank the following for their support:
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