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Content about Biology and genomics

September 9, 2009
Feature - A SLiM chance for viruses

Feature - A SLiM chance for viruses

Viruses hijack the replication machinery of cells. Image courtesy Simon Hettrick

Viruses have evolved a clever way of reproducing. They hijack the replication machinery of their host cell, which is controlled and regulated by a variety of signaling pathways, and fool them into producing copies of the virus.
Richard Edwards, head of the Bioinformatics and Molecular Evolution group at the University of Southampton, UK, is trying to better understand signaling pathways in order to develop treatments for viruses — and for diseases that operate similarly.  This is an enormous task, because to understand signaling pathways in the human body requires studying the interactions between the 20,000 or so proteins contained within the cells.
To do so, Edwards is focusing on short, linear motifs known as SLiMs. “A protein can be thought of as a sequence of amino acids, like beads on a string” explains Edwards. “[SLiMs] consist o

September 9, 2009
Image - Preventing bird strikes

Video of the Week - Preventing bird strikes

The Bird Avoidance Model could help to cut down on collisions between birds and planes at busy airports. Video and image courtesy Virtual Laboratory for e-Science. Click on the above and go to section that begins at 2 mins 45 seconds.

Encounters between birds and planes have the potential to be disastrous — just ask Chesley Sullenberger, pilot of the US Airways flight that just barely managed to land on New York City’s Hudson River after colliding with a flock of geese on 15 January.
Such “bird strikes” are a continuing problem, with about 4,000 of them occurring in the United States alone in a single year, says the Federal Aviation Authority.
The FAA and others would like to be able to forecast when and where dangerous  concentrations of birds will form — similar to meteorologists predicting the weather.
Researchers at the Virtual Laboratory for e-Science (vl-e), The Net

September 2, 2009

Feature – Superlinks to identify genetic culprits

A graphic map of a particularly complex family tree. The squares represent males, while the circles represent females. Individuals affected by a genetic mutation are represented with red squares or circles. Yellow lines indicate a marriage between relatives. Image courtesy of Kwanghyuk (Danny) Lee, Baylor College of Medicine.

Once scientists know which mutation causes a disease, they can apply that knowledge in their search for a cure. Likewise, doctors can recommend lifestyle changes that will alter the course of the disease. But the computer analysis used to identify these mutations would take years to complete on a single computer.
Superlink-online, a distributed system developed at the Technion-Israel Institute of Technology, helps researchers perform their analyses in a matter of days by distributing the computations over thousands of computers worldwide. Geneticists submit their data through the web portal with a single click

August 26, 2009

Feature - Asian computers join forces against avian flu

Computer simulation of potential drug candidate attacking avian flu virus. Image courtesy Dr. Ying-Ta Wu, Academia Sinica, Taiwan 

Dealing with deadly diseases is not just a matter of test-tubes and petri dishes. Increasingly, grid computing is being used to simulate the ways that new drugs could attack viruses, looking for a magic bullet that could cure diseases or even prevent epidemics.
Computers can simulate a large number of chemical compounds and measure their ability to fit snugly into the chemical coating of a virus, thereby blocking its ability to function properly. Launched in March 2009, this so-called “Avian Flu DC2 Refinement” is the latest attack on avian flu using grid computing power. This initiative is supported by the EUAsiaGrid community, a partnership of Asian and European research institutions co-funded by the European commission to foster new uses of grid computing for science and society

August 26, 2009
Feature - Improving Alzheimer's research a million scans at a time

Feature - Improving Alzheimer’s research, a million scans at a time

Alzheimer’s is one of the most feared diseases associated with aging. Fortunately, early detection can slow its development. Image courtesy stock.xchng

As you read this, your brain is busily working. In a complex but unconscious process, it scans the pixels on your screen, analyzes the images and turns them into meaningful information.
This week, a similar work began, neuGRID, that might help keep our minds whirring wonderfully as we (alas) age.
This massive scanning project will feed 6,300 magnetic resonance (MR) scans from more than 700 patients — a bit less than 200 images per patient, making for an impressive total of 1,260,000 images — through an automated series of calculations. This “pipeline” will analyze the cortical thickness of the brain (a measurement aligned with brain health) and its deterioration over time. The images are from the Alzheimer’s Disease Neur

July 29, 2009

Feature - Common cheap chips get jobs done faster

Although much of today’s most interesting research requires immense amounts of computational power, many scientists don’t have the funds to access expensive supercomputers or clusters. Now, a commonplace computer chip may provide a thrifty way to get those jobs done.
Graphics processing units (GPUs) are found in most computers and are designed to render 3-D computer graphics. They contain hundreds of processing cores on a single chip, and several chips can fit into a single desktop. Computational geneticists Marc Suchard of the University of California Los Angeles and Andrew Rambaut of the University of Edinburgh were able to use GPUs to speed up their computations by a factor of 100.

This tree shows how a population of viruses evolved over a 10-year period within an infected patient. The branch colors reflect relative rates of evolution along each branch.
Courtesy of Marc Suchard of UCLA.

Suchard and Ramba

July 22, 2009

Feature - Computing enables identification of microbe DNA in soil

Jonathan Eisen collects samples gathered by the Alvin submarine during a recent trip to the ocean floor.
Image courtesy of J. Eisen, UCD.

The traditional method for studying a microbe is to cultivate it in the lab and examine its biology in detail. However, lab cultivation is possible for only a small fraction of microbe species. Scientists have thus turned to metagenomics – the computation-reliant study of DNA extracted from environmental samples rather than from cultivated organisms.In metagenomics, scientists grind up samples containing many different organisms and extract all the DNA they can, not knowing which pieces of DNA came from which organisms. A one-gram soil sample can contain up to several million species of microbes all mixed together. The scientists sequence small, random fragments of the DNA to identify species and determine how they function, explained Jonathan Eisen, University of California,

July 22, 2009

Feature - Supercomputing promises super-insight into human evolution

Visualization by John L. Moreland.

Humans and chimpanzees are closely related – even closer than mice are to rats. That’s why the slight differences between the two species could provide valuable insight into the origin and evolution of humans.
But it isn’t always easy for researchers to get access to the data they need to see those differences. Researchers at the Center for Academic Research and Training in Anthropogeny are using San Diego Supercomputer Center resources to change that. They are in the process of digitizing an extensive collection of skeletons and medical records from more than two dozen chimpanzees; eventually, the results will be made available to researchers for study.
The specimens and records were donated to CARTA by the Primate Foundation of Arizona, which cares for retired zoo primates and primates whose owners can no longer care for them. Jo Fritz, PFA’s director,

July 15, 2009

Feature - Conserving bio-diversity at Peru’s CIP

A few of the many varieties of potatoes. CIP maintains the world’s largest genetic bank of potatoes, including 1500 samples of 100 wild species collected in eight Latin American countries, as well as samples of 3800 traditional Andean cultivated potatoes. The collection is maintained under the auspices of the UN’s Food and Agricultural Organization, and is available to plant breeders worldwide free upon request. (Click to enlarge.) Image courtesy International Potato Center

What do the objects at right have in common?
They’re all potatoes.
And their continuing variety will be partly because of the grid.The International Potato Center (known by its Spanish acronym, CIP) seeks to ensure the genetic diversity of this staple food crop. The organization also seeks to reduce poverty and achieve food security on a sustained basis in developing countries through scientific research and related activities —

July 1, 2009

Feature - Cancer Knowledge Cloud for a new generation of medicine

Kenneth Buetow, shown speaking at a conference in 2005.Image courtesy of NCRI.

Kenneth Buetow is the National Cancer Institute’s Associate Director of Bioinformatics and IT, and Director of the Center for Biomedical Informatics and IT, where he initiated and oversees the caBIG (cancer Biomedical Informatics Grid) program. He spoke last April at the Bio-IT World conference on caBIG: An interoperable IT framework for uniting research and care.
Thinking BIGKen Buetow thinks BIG.  He envisions what he calls a Cancer Knowledge Cloud — an IT environment designed to foster information connectivity among cancer patients, cancer researchers and clinical care providers. This environment, powered by caBIG tools and infrastructure, would enable a continuous and accelerated cycle of discovery, diagnostic and pharmaceutical product development, and improved clinical care.Cancer care and research still operate on a lin

June 17, 2009
Feature - Grid-enabled virus hunting

Feature - Grid-enabled virus hunting

3D replica of senecavirus, a pathogen discovered several years ago by researchers in Pennsylvania. UC San Francisco researcher Eric Delwart and his colleague Chunlin Wang of Stanford University use the RENCI-developed TeraGrid Science Gateway and the Open Science Grid to access grid computing resources in their search for new viruses.
Image courtesy of the Institute for Animal Health, UK

Researchers use distributed computing to make sequence analysis faster and easier.DNA sequencing and sequence analysis happens daily in many biological sciences laboratories, but analyzing large sets of genetic data increasingly requires computing resources beyond the capabilities of most labs. The search for the best hardware and software led Eric Delwart, a professor of laboratory medicine at the University of California, San Francisco, and a senior investigator at the Blood Systems Research Institute, and Chunlin Wang, a research associate at the Stanford Univ

June 17, 2009
Feature - Swine flu and the grid: A researcher's view

Feature - Swine flu and the grid: A researcher’s view As the name suggests, “Swine Flu” may have its origins among pigs, and then may have made the jump across species to humans. Image courtesy Janne Brodin, stock.exchng (Editor's note: Swine Flu — or H1N1 influenza A — has been in the headlines lately. The World Health Organization has officially classified the latest outbreak a “pandemic,” in response to its world-wide geographic spread. To find out more about how the grid fits in with research to fight this virus, we asked Ana Lucia Da Costa of HealthGrid, who formerly worked at CNRS France, to give her viewpoint from the lab.) The emergence of a new influenza epidemic such as this is an opportunity for the grid to contribute to international public health response. It has highlighted the importance of providing the right information to decision-makers as quickly as possible. Grid technology is particularly well fitted to

June 10, 2009
Feature - TeraGrid's Campus Champions: connecting campuses to national HPC

Feature - Campus Champions: Users get help from a familiar face

A few words from Kay Hunt, pictured above . . .In the fall of 2007, Scott Lathrop asked me to work on a new effort to support campus representatives (Champions) across the nation who would become the local source of knowledge about high performance computing opportunities for researchers and educators.After working on the design and development of the project I really became enthused about making contacts all over the United States and developing a network of folks who could learn and grow with each other for the common goals of the group.Now, as lead of the Campus Champion program, I recruit Champions and provide them with timely information, user support, training, resource allocations, and outreach support. There are many who help with these activities — I coordinate the people and the process and do the bulk of the recruitment. I am like the head coach of a basketball team.Off the job, I am a “sportsaholic”

June 3, 2009

Feature - Amoolya Singh, computation and biology

Amoolya Singh in her office at EMBL.  All images courtesy of SET-Routes

Editor's note: Readers may recall our series on women in grid computing last March. ISGTW interviewed more enterprising, trailblazing women in science and computing than our month-long series could accommodate! We will continue to bring you these and other personal profiles occasionally.
iSGTW: What do you do?
Amoolya Singh: I'm a computational biologist at the European Molecular Biology Laboratory (EMBL) in Heidelberg, Germany, which is a fancy way of saying I use computers to understand living things. 
iSGTW: How did you get interested in this field?
Singh: My interest in science has been mainly shaped by my family origins. I was born and raised in India, in a family of scientists and artists. I remember at the age of five going with my mother to her laboratory and asking what she did. She explained that she took very detailed pictures of the insides o

June 3, 2009
Feature - Clarity in clinical care

Feature - Clarity in clinial care: achieving fully interoperable databases

Werner CeustersImage courtesy of W. Ceusters.

Werner Ceusters, director of the  Ontology Research Group at the NYS Center of Excellence in Bioinformatics & Life Sciences, spoke at the Bio-IT World Conference in Boston this past April on the topic of "Do Healthcare IT Standards Hamper the Advance of Science?" 

“Swimming is healthy and contains eight letters.” Absurd? Of course — the real thing is confused with its symbolic representation. Absurdity, then, abounds in current Electronic Health Records (EHRs) according to Werner Ceusters of the New York State Center of Excellence in Bioinformatics and Life Sciences and the University at Buffalo. A polyp by any other name… A significant and universal problem with legacy EHRs, Ceusters says, is that software programs that access them cannot adequately differentiate between diagnoses for a given patient and link them prope

June 3, 2009

Feature - Grid promotes diversity in biotechnology at Virginia State

Image courtesy of VSU, Biology department.

Biotechnology is one of the fastest-growing sectors in science, but it suffers from a lack of diversity in its workforce, as do many other scientific fields.  Recent studies* suggest that African-Americans and Hispanics lag behind whites for higher-paying biotech jobs by the largest margins in about a decade.Researchers at Virginia State University, an institution designated by the U.S. Department of Education as one of the Historically Black Colleges and Universities (HBCU), are addressing this imbalance by using grid technology as a resource to teach students and educators about bioinformatics.  Glenn Harris, an assistant professor in the Department of Biology at VSU, used grant funding from the U.S. Department of Agriculture and the National Institutes of Health to obtain a 12-node cluster server and the iNquiry bioinformatics software suite developed by The BioTe

June 3, 2009
Image of the week - Melanoma image analysis

Image of the week - Melanoma image analysis

Nancy Thomas, an associate professor in the School of Medicine at the University of North Carolina specializing in melanoma research, leads the Melanoma Image Analysis project. Her team is looking at the use of image analysis approaches to aid in diagnosis and prognosis of melanoma from patient pathology slides. Based on prior research from Thomas and others, we know that observable characteristics of melanoma can stem from more than one type of genetic mutation.This project is working under the hypothesis that image analysis will allow for the quantitative extraction of melanoma features and that such features can be used to both identify cancerous tissues and link melanoma phenotype with genotype. If true, this will lead to enhanced prediction of patient survival and guide future treatment options. The research should result in a more robust and clinically relevant melanoma classification system based on causal pathways.Computing experts at the Re

June 3, 2009
Link of the week - The Dagdigian Doctrine

Link of the week - The Dagdigian Doctrine

Image courtesy of Bio-ITWorld.com

What's old news? What's exciting now? What's down the road? What's just hype?In the opening keynote of the 2009 Bio-IT World Conference & Expo last April in Boston, Chris Dagdigian told it as he saw it. A founding partner for the BioTeam IT consultancy, he delivered an educated assessment of the best, the worthwhile, and the most overhyped information technologies  for the life sciences.Ken Davies covers Dagdigian's talk in Bio-ITWorld.com. You'll only find a few highlights from the article here . . .What does Dagdigian think is dead?“Unlimited data storage is over,” he noted, according to Davies. Dagdigian asserted that it is simply not possible to back up all data and keep it safe. “Sometimes it’s better to go back to the -40 F freezer and repeat the experiment.”What's hot now?  He offered virtualization as the “lowest hanging fruit.” Not coming soon,

May 27, 2009

Feature - Volunteer computing against childhood cancer

Image courtesy of WCG.

Researchers from the Chiba Cancer Center Research Institute and Chiba University in Japan are launching a new World Community Grid project with IBM to discover a drug treatment for neuroblastoma, the most common cause of death in children with solid tumors. Help Fight Childhood Cancer, as the project is known, uses idle computational power from volunteers’ home and office computers to identify promising drug candidates.Most physicians believe that neuroblastoma is caused by accidental cell growth that occurs during normal development of the sympathetic ganglia and adrenal glands. This condition occurs most often the first two years of life, and poses a high risk for disease relapse with survival rates under 40 percent.The new Help Fight Childhood Cancer project uses volunteered computational power to identify which of the three million potential drug candidates prohibit growth of three proteins, TrkB, AL

May 13, 2009
Feature - EDGeS helps us all talk to each other

Feature - EDGeS helps us all talk to each other

With AutoDock, biologists can predict how small molecules will interact with known larger molecules - vital to evaluating candidates for new drugs. Image courtesy www.YASARA.org

Like Bill Murray adrift in Japan in the movie “Lost in Translation,” things can go awry when service grids and volunteer grids try to talk to each other.
Service grids, such as EGEE, often involve large institutions whose work method is centered around collaboration — to the point where participants often know each other personally. To ensure security, resources and users pass through an accreditation process, and the resulting “certificate” provides proof that this occurred successfully. The certificate is key to allowing jobs to be submitted and completed.
On the other hand, volunteer systems — such as BOINC or XtremWeb-based desktop grids — consist of large numbers of personal computers linked together by individuals w

May 13, 2009

Feature - Peking University advances protein research

At top: Superimposition of 20 structures of hPHPT1. At bottom: Ribbon diagram of the mean structure of hPHPT1. Red: alpha-helix, blue: beta-sheet, white: random coil. Image courtesy of Weibin Gong

Researchers at Peking University’s Beijing Nuclear Magnetic Resonance Center (BNMRC) can determine 3D protein structures 1000 times faster, thanks to the grid. 
Function follows form in the protein world, so their work contributes to scientists’ understanding of the roles that individual proteins play. This in turn should lead to advances in drug discovery and health care.The Peking University team uses Nuclear magnetic resonance (NMR) spectroscopy to determine protein structures. NMR works well, but the calculations involved are time-consuming and computationally demanding. Scientists have so far learned the structure of only about 50,000 proteins out of the millions that exist in nature.
The Peking team has calculat

May 13, 2009

Feature - Sharing in the Taverna

Researchers used Taverna to model molecules such as bacteria. Image courtesy of Engineering and Physical Sciences Research Council

Grids are powerful tools, but for many scientists they remain too complex to easily adopt. Now the KnowARC project’s work with the Taverna tool has taken the first steps toward making grid integration a seamless experience for the bioinformatics community.Taverna, developed by the myGrid project, is a multiplatform system for designing and executing bioinformatics workflows.“The Taverna workbench gives biological scientists the means to rapidly assemble data analysis pipelines,” explained Carole Goble, project leader of myGrid. “It repeatedly and systematically gets results that used to take days in mere hours.”Taverna caught the interest of Steffen Möller, a bioinformatics expert at the University of Lubeck, Germany. Möller and Hajo Krabbenhoft, a member of his team, started looking in

April 1, 2009
Feature - Bioinformatics from Martinique to Marseilles: Mirana Ramialison

From Martinique to Marseilles to Medaka: profile of bioinformatician Mirana Ramialison The Medaka fish is a simple model organism, amenable to genetic techniques, easily grown in the lab, but at the same time sharing many molecular processes with higher vertebrates. This image, taken with a newly developed microscope called a Digital Scanned Laser Light Sheet Fluorescence Microscope, shows a 5mm-long juvenile at the age of 10 days. The glowing green areas show its developing brain, eye and spinal cord.  Image by Philipp Keller, from the lab of Ernst Stelzer at EMBL Editor's note: As part of an ongoing series, iSGTW presents profiles of women researchers in grid computing.   What do you do? In our research group, led by Jochen Wittbrodt of the European Molecular Biology Laboratory in Germany, we are studying Medaka (alias "the-small-fish-with-big-eyes" in Japanese) to understand how an eye forms in an embryo. Since Medaka eyes are similar to human ones, we can have a better understanding of human eye dis

February 11, 2009
iSGTW Announcement - Biomed grid school May 2009: Call for participation

Announcement - Biomed grid school May 2009: Call for participation Image courtesy of Biomed grid school  After the success of the previous two editions of the Biomed Grid School, the thrid edition will be held, again in Varenna on Lake Como, Italy, 10-15 May 2009. The Biomed Grid School is aimed at biomedical research students, post-docs, and senior researchers from any country with an interest in using or developing biomedical applications for distributed data integration and distributed computing environments.School dates: 10-15 May 2009School location: Varenna on Lake Como, ItalySchool Web site RegistrationContact email: biomedgrid at itb.cnr.it Participation limited to 20 students The aim of the school is to provide bioinformatics and biomedical developers the opportunity:to learn how to use new services and functionalities made available by gLite middleware releasesto implement applications on grid infrastructures (EGEE, EGEE related projects) using gLite to build high level interfaces for data provision and management us

February 11, 2009
iSGTW Feature - Hammering out cures at the genome workbench

Feature - Hammering out cures at the genome workbench Using a connection to Cancer Bioinformatics Infrastructure Objects (caBIO), a repository of molecular biology data, inter-cellular pathway diagrams can be retrieved and displayed in geWorkbench.Image courtesy of the geWorkbench project. As biomedical research becomes a more collaborative effort, scientists need a quick and easy way to share information and analysis tools as they work to better understand diseases and search for cures. In the past, most biomedical researchers developed their applications independently, and in consequence, these tools have varied greatly. Research could progress much faster with a more unified approach.To address this problem, the National Center for Multiscale Analysis of Genomic and Cellular Networks (MAGnet), hosted at the Center for Computational Biology and Bioinformatics at Columbia University, has developed geWorkbench (genomics Workbench), a framework for application development and dissemination. It brings together many of the most va