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This year’s symposium will be jointly presented by the Kansas City Area Life Sciences Institute and Frontiers: The Heartland Institute for Clinical and Translational Research. The symposium will be open to the public and feature an outstanding group of national and regional speakers. We look forward to your attendance!

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Date & Time

June 20, 2013Light Breakfast 7:30 – 8:00 am
Program 8:00 am – 5:30 pm

Location

Kansas City University of Medicine and Biosciences
Weaver Auditorium
1750 Independence Avenue
Kansas City, MO 64106
Directions
KCUMB
Hosted by Kansas City University of Medicine and Biosciences

 

 

 

 

 

 

PLATO, an Alternative to PLINK

Since the near beginning of genome-wide association studies, the PLINK software package (developed by Shaun Purcell’s group at the Broad Institute and MGH) has been the standard for manipulating the large-scale data produced by these studies.  Over the course of its development, numerous features and options were added to enhance its capabilities, but it is best known for the core functionality of performing quality control and standard association tests. 

Nearly 10 years ago (around the time PLINK was just getting started), the CHGR Computational Genomics Core (CGC) at Vanderbilt University started work on a similar framework for implementing genotype QC and association tests.  This project, called PLATO, has stayed active primarily to provide functionality and control that (for one reason or another) is unavailable in PLINK.  We have found it especially useful for processing ADME and DMET panel data – it supports QC and association tests of multi-allelic variants.    

PLATO runs via command line interface, but accepts a batch file that allows users to specify an order of operations for QC filtering steps.  When running multiple QC steps in a single run of PLINK, the order of application is hard-coded and not well documented.  As a result, users wanting this level of control must run a sequence of PLINK commands, generating new data files at each step leading to longer compute times and disk usage.  PLATO also has a variety of data reformatting options for other genetic analysis programs, making it easy to run EIGENSTRAT, for example.

The detail of QC output from each of the filtering steps is much greater in PLATO, allowing output per group (founders only, parents only, etc), and giving more details on why samples fail sex checks, Hardy-Weinberg checks, and Mendelian inconsistencies to facilitate deeper investigation of these errors.  And with family data, disabling samples due to poor genotype quality retains pedigree information useful for phasing and transmission tests. Full documentation and download links can be found here (https://chgr.mc.vanderbilt.edu/plato).  Special thanks to Yuki Bradford in the CGC for her thoughts on this post.  
Novus Explorer — your gateway to scientific research. This bioinformatics tool is designed to facilitate scientific exploration of related genes, diseases and pathways based on co-citations.  Type in your gene, disease or pathway of interest and press Enter to begin your exploration. Read the Novus Explorer How to Guide for more detailed instructions. If you are having problems with Flash please try clearing your browser cache.






 

 

 

 

WEBBMEDIA GROUP NEWS

Digital Trends - June 2013

Posted on May 28, 2013 in Ideas
Just published... our June 2013 digital trends list.

click  here<<

















Bioinformatics outsourcing. Image source pharmatching.com
Never before has Research and Development (R&D) been witness to such turbulence hitting its ranks. Rising costs of research and tight budgets have led laboratories to look for new nesting grounds. Lack of skilled personnel and new government legislations have led to rising concerns about the future of Bioinformatics.
As the industry is looking at alternatives to revitalize and renovate, outsourcing has emerged as a potential savior for its revival.
A report that was published in December 2012 predicts that in 2018 bioinformatics will reach a market size of value USD 9.1 Billion. The market report “Bioinformatics Market – Global Industry Size, Market Share, Trends, Analysis and Forecast, 2012 – 2018” published by Transparency Market Research forecasts a double-digit growth that will be a record on its own. The bioinformatics platform sector is expected to contribute the highest revenue.
In 2012, the bioinformatics market was estimated to be worth USD 2.3 billion. The record growth during the period 2012—2018 is expected at 25.4% CAGR. This rapid rate of growth is attributed to the demands from related fields such as pharmaceutics, health care, medicine, diagnostic research, biotechnology and various other sectors linked to life sciences.

Bioinformatics Outsourcing offers an effective workaround

Integration of various services is one of the main elements that impel outsourcing in the bioinformatics sector. External data can be acquired and integrated into internal systems in an easy manner.
Companies based on Bioinformatics R&D are on the lookout for vendors that can carry out operations involving search, analysis, sharing, and customization of data. These types of services have to be backed up by consultancy and after-sale services.
Mauritius is one country that has realized the potential of bioinformatics outsourcing. Significant research is being conducted in this country in this field. Bioinformatics outsourcing is set to take a great leap in this country.
A large talent pool of graduates and scientists in various fields of life sciences adds to the inevitable growth of this industry in the region. The rich flora and fauna together with diverse species of plants with medicinal value aid in the spurt of genomics and proteomics research.
Companies specialized in Bioinformatics R&D can thus improve their future prospects by tapping the vast amount of resources that have remained hidden in other regions of the world. It is for them to take up this challenge and carry this industry forward into hitherto unknown avenues that translate into success and development on a global scale.
It is safe to assume bioinformatics outsourcing has a bright future.
A semiconductor sequencing chip held by Jonathan Rothberg, founder of sequencing company Ion Torrent in Guilford, Connecticut — one of only two entrants for this year’s Archon Genomics X Prize.
MICHELLE MCLOUGHLIN/REUTERS
It was never meant to be a piece of cake — but neither was it meant to be a flop. Yet as the 31 May registration deadline looms for the Archon Genomics X Prize — a challenge to sequence 100 complete human genomes in 30 days at unparallelled accuracy and low cost — only two teams have entered.
The lacklustre showing is a testament to both the difficulty of the challenge and the maturation of the DNA-sequencing industry in the seven years since the prize was first conceived, genetics and innovation researchers say.
“The business has become bigger than the prize,” says Jonathan Rothberg, founder of the sequencing company Ion Torrent in Guilford, Connecticut, which was acquired in 2010 by Life Technologies in Carlsbad, California — which was, in turn, recently snapped up for US$13.6 billion by Thermo Fisher in Waltham, Massachusetts. Ion Torrent plans to compete, but other firms have apparently decided that they have little to gain.
Yet the goal of the prize — to drive down the cost of sequencing while improving its quality — matters just as much as it did in October 2006, when the X Prize Foundation, based in  Playa Vista, California, first announced the challenge, experts say. Although sequencing costs have fallen drastically (see ‘Plummeting costs’), that decline has plateaued recently.
SOURCE: NHGRI
The original rules called for teams to sequence 100 genomes in 10 days for less than $10,000 per genome. After none of the original eight competitors could meet the 10-day timeframe, the foundation spent two years revamping the challenge. The reconceived prize, launched in October 2011, extended the time to 30 days, tightened the cost to $1,000 per genome and specified that 100 genomes from centenarians, who may harbour life-extending genetic variants, must be sequenced (see L. Kedes and G. Campany Nature Genet. 43, 1055–1058; 2011). 
The new challenge aims at what the X Prize Foundation calls a “medical grade genome” — a sequence of all the nuclear DNA to 98% completeness and high accuracy, allowing only one error per million bases. To win the $10-million prize pot, teams must also find DNA insertions, deletions and rearrangements within genes and determine which parent each one came from.
Hitting all these goals in one go is hugely challenging. Market leader Illumina in San Diego, California, boasts a rate of false-positives (inaccurately flagging a DNA base as a variant from normal) of 0.25% and a rate of false negatives (missing a real variant) of 7.4%, well above the error rates allowed by the X-prize requirements. It is hard to do better because current technologies sequence the genome in short stretches that then have to be reassembled, introducing errors. New ways to sequence longer segments in one go are commercially available (see Nature 494,290–291; 2013), but they are slow and expensive. “To date, none of them would win the X prize at this scale,” says quantitative biologist Michael Schatz at Cold Spring Harbor Laboratory in New York.
Still, why have so few teams even deigned to try? Meeting the challenge would cost much more than the prize purse, but that has also been true of past contests that attracted dozens of entrants, such as the Ansari X Prize, which required teams to send passengers into space, and the US government’s Defense Advanced Research Projects Agency Grand Challenges, one of which catalysed the development of successful self-driving cars.
Part of the answer is that a genomics prize, unlike a rocket launch, isn’t easy to explain to the public (see 'Other challenges'). As a result it does not have the same publicity value, says Luciano Kay, a researcher at the Center for Nanotechnology in Society at the University of California, Santa Barbara. A competition for a self-driving car that can go 10 kilometres is more attractive than manipulation of matter or genes at tiny scales to accomplish a very scientific or technical feat, Kay says.

Other challenges

The X prize isn’t the last word on genomics competitions. Cheaper to solve than technology-based contests, bioinformatics challenges have proved hugely popular.
The Critical Assessment of Genome Interpretation experiment has seen the number of entrants rise every year since it was first held in 2010 (see go.nature.com/dfclt1). And a US$1-million purse offered by the US Defense Threat Reduction Agency has spurred thousands of researchers to try to identify individual organisms from mixed pools of sequenced DNA.
Thousands of participants also competed in a bioinformatics challenge in April to find hidden sequences in DNA data sets (run by the journal Genome Biology and curated by Michael Schatz of Cold Spring Harbor Laboratory in New York and James Taylor of Emory University in Atlanta, Georgia). It was organized to commemorate the sixtieth anniversary of the original research papers describing the structure of DNA.
Now Grant Campany, senior director for the Archon Genomics X Prize, says that the X Prize Foundation itself is considering laying out another challenge aimed at genome interpretation.
And the goal of the genomics X prize — to sequence whole genomes to medical grade rapidly and cheaply — may not be a top commercial priority at present. The business of genomics is already booming on the basis of less complete sequences, and Rothberg points out that scientists can only interpret the small fraction of the genome that codes for proteins (the ‘exome’). It is unclear what would be gained from an accurate sequence of the rest.
Still, whoever wins the prize earns the right to boast, which explains why Ion Torrent decided to compete. It also explains why Illumina decided not to: failure would only dent its reputation, muses Timothy Harris, who develops applied-science tools at the Howard Hughes Medical Institute’s Janelia Farms campus in Ashburn, Virginia. The other entrant is a team led by George Church at the Wyss Institute at Harvard in Boston, Massachusetts.
Grant Campany, senior director of the genomics X prize, hopes that other teams will step up to compete before the contest gets under way in September. Even if they don’t, scientists predict that its goals will be achieved within the next few years, whether through the prize or not. “If you could deliver that kind of performance you would have the commercial advantage by a large margin over anyone else,” Harris says. “That commercial advantage is worth way more than the X prize.”
Nature
 
497,
 
546–547
 
()
 
doi:10.1038/497546a
29 May 2013
The sparse list of contenders for the Archon Genomics X Prize shows how far sequencing technology has come — and how far it still has to go. Barring any late surprises, only two teams will have signed up by the registration deadline of 31 May to compete for the US$10-million prize for the first to sequence 100 centenarians’ genomes in 30 days or less at a cost of $1,000 per genome (see page 546). The sequences must have no more than one in a million errors, be 98% complete and have correct haplotype phasing — a determination of which parent contributed each portion of a chromosome. It is not possible at present to meet this combination of goals with any single technology, but that does not explain why so few are reaching for it.
One reason why more teams are not lining up for the prize is that the promise of a genomic medical revolution is not being stalled by any lack of data. At genetic-medicine conferences,such as the University of California’s OME 2013 precision-medicine conference, held on 2 and 3 May in San Francisco, or the Big Data in BioMedicine conference held from 22 to 24 May at Stanford University in California, you will hear the same refrain. “We have more data right now than we know what to do with.” Figuring out how to interpret genetic data — and, more crucially, how to prove their value to patients and health-care systems — is the most pressing challenge in genomics today. Researchers can already sequence the protein-coding regions of a genome for less than $1,000. Getting more data on regions of the genome that they do not yet know how to interpret will not help to advance the goal of proving the medical worth of big data.
“The promise of a genomic medical revolution is not being stalled by any lack of data.”
Interpretation and analysis — making sense of the data — is now the real prize. Hence the launch of a spate of bioinformatics challenges as researchers compete to surmount that hurdle. They include Sequence Squeeze, a contest to develop the best sequence-data-compression algorithm; the Assemblathon, for the best program to assemble a genome sequence from scratch; the DREAM Challenges to analyse and predict biological interactions among gene products; the CLARITY genome-interpretation challenge; and contests at the annual Beyond the Genome meeting. Michael Schatz at the Cold Spring Harbor Laboratory in New York, who has curated many of these contests, is planning more challenges this year, including one at Cold Spring Harbor later this autumn. Bioinformatics contests have the advantage that they do not require physical manufacturing infrastructure, so they are more accessible to more would-be solvers around the world.

And it is very unlikely that anyone other than a well-financed lab or large company could attempt the current challenge. That also sets it apart from other competitions — the Google Lunar X Prize, for example — in which teams of professionals or even hobbyists can make a respectable showing. The thriving do-it-yourself biology movement, by contrast, cannot mount a credible challenge to the large life-sciences companies. The attempt is even beyond most biotech start-ups. The UK-based biotechnology company Oxford Nanopore, for example, which is trying to commercialize a promising technology pioneered by highly respected researchers, has raised at least $150 million in grants and investment since 2008 — but has yet to show that its technology can be used to sequence a complete human genome.There are other reasons why the genome X prize is a harder sell than other X prizes. The sequencing field is much more mature than were other industries that have been the focus of successful X prizes. Whereas there was no space-tourism industry before dozens of teams competed for the Ansari X Prize in 2004, for instance, there is already a thriving commercial market for sequencing. So any company that could meet the goals laid out in the prize already has its incentive — and it would be worth a lot more than $10 million. The value of the market leader in sequencing, Illumina of San Diego, California, is currently $8.8 billion.

That is not to say that the genomics X prize does not matter. The X Prize Foundation should be commended for revising the challenge, initially laid out in 2006, as the field evolved. It has also done a valuable service by working for two years with many partners, including Nature Genetics, to outline a judging scheme that can independently assess the quality and accuracy of a genome sequence and that is agnostic about the sequencing technology used. The foundation deserves kudos for prompting the field to reach farther; if past history is any guide, genomicists will reach that goal sooner than now seems possible.