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redux [03.29.00]
UIUC Collaboratory for Structural Biology
"The Theoretical Biophysics Group at the University of Illinois is proud to announce the initial public release of BioCoRE, a collaborative research environment. BioCoRE software is freely available for use at the Theoretical Biophysics Group website. BioCoRE development is supported by the NIH National Center for Research Resources.
Modern computational structural biology requires scientists to employ a wide range of tools and techniques to solve complex problems while keeping accurate and complete records of research activities. Additional complications are introduced by the need to effectively engage in interdisciplinary collaborations with geographically dispersed colleagues. The software BioCoRE, a collaborative research environment for molecular modeling and simulations, addresses these challenges."
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Forbes Celera's Worth Still Up In The Air
"Great discoveries do not necessarily make great businesses. Businesses have to sell something. Celera Genomics doesn't sell or make anything tangible. It hawks service and information. It sells access to lists of genes and computers that can sort through those messy lists. Samuel Broder, the company's executive vice president and chief medical officer, makes Celera sound like some kind of consulting company, or perhaps a library."
"Venter's quest could be a fable, with all sorts of morals about the power of capitalism and the importance of a single, brilliant, willful individual who used the market to shake the ivory towers of science. But those morals only hold if Celera succeeds, if business and science blend to propel the company into the future with breathtaking speed without rocketing it into the realities of the marketplace. Celera could become one of the great business success stories. It could also be a financial train wreck."
Right now, that makes it a very volatile stock."
The New York Times U.S. Hopes to Stem Rush Toward Patenting of Genes
[requires 'free' registration]
"Long before scientists had completed the task of reading the human genome, parts of it had already been claimed for commerce. In what has often been compared to a land grab, companies and universities have filed for patents on hundreds of thousands of genes and gene fragments. "
"Indeed, genes have been patented for years. Many of the first were for drugs. For example, erythropoietin, for anemia, was found by cloning genes that coded for particular proteins. In those early days, scientists knew the function of the protein and worked backwards, taking years to isolate a single gene.
But now high-speed gene sequencing and other techniques are allowing genes or fragments of genes to be discovered en masse, without knowing the functions of the proteins produced by the genes. These genes, rather than representing a product in themselves, are now guides to future product discovery. And there is concern that if these genes are patented it would discourage other scientists from doing research using the same genes. Some compare it to trying to gain ownership of the alphabet, rather than of a novel or play."
redux [04.26.00]
SF Gate Call It the Gene Rush -- Patent Stakes Run High
"After years of bickering, the patent office has proposed adding three simple words to its guidelines. To win a patent, applicants will have to describe a "substantial, specific and credible'' use for their gene."John Doll, who heads the patent office's biotech division, said the guidelines essentially group the huge backlog of 30,000 patent applications into three classes.
The first are genes isolated in a laboratory, whose purpose is likely to be known. Doll calls this ``wet biology.'' Government and academic scientists have used wet biology to patent genes for 20 years. These are not controversial.
Another class of applications cover ``naked DNA sequences.'' These were the sort of early, machine-generated gene discoveries that provoked alarm in the first place. The new guidelines rule them out.
The battleground is the large number of applications that fall in the middle. These are machine-discovered genes, but they aren't "naked sequences.'' ."
"As the controversy over "naked sequences'' festered, biotech companies got smarter about using their machines. When they discovered a new gene, they employed software that analyzed its structure and deduced its purpose. Doll called these "in silico'' applications -- a reference to the fact that the gene's purpose was deduced through a computer analysis."
""It's not important that you understand the function of the gene (to get a patent), it's only important that it have a commercial utility,'' Incyte's Scott said. "
redux [03.18.00]
HMS Beagle Patenting Genes Is It Necessary and Is It Evil?
[requires 'free' registration]
"Last October, biologists' neck hair rose when J. Craig Venter announced his company, Celera, had filed 6,500 provisional patent applications for human genes. Henry Ford mass-produced automobiles - it seems evident we are now entering an era in which intellectual property is rolling off the assembly lines. Is this really the ultimate legacy of Watson and Crick's elegant double helix? And what does it portend for the future of biology?"
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MIT Technology Review Medical Records, Inc.
"The United States’ most famous epidemiological study, the Framingham Heart Study, is about to take a medically promising step that could help in the effort to discover genes responsible for common diseases. But the move is also likely to raise questions about the commercial exploitation of patients’ medical records."
"The demand for so-called “phenotype” data (measurements of an individual’s actual physical characteristics) from well-studied populations like Framingham is rising dramatically thanks to rapid advances in genetic technology. “Genetic analysis can be done with an arbitrarily great degree of precision. But you are limited by patient data,” says Ledley. “This is the missing link.”
"In fact, genomic researchers expect they will eventually need medical data on hundreds of thousands, even millions, of people. For that reason, some European governments with centralized health care systems are now casting hungry eyes on their citizenry’s medical records. The U.K. Medical Research Council, for instance, is planning a massive study involving more than 500,000 volunteers, and scientists have lobbied the U.K.’s National Health Service to create a genetic database encompassing the entire British population. Similar national databases are under consideration in Italy and Estonia."
redux [06.15.00]
New England Journal Of Medicine Rules for Research on Human Genetic Variation -- Lessons from Iceland
"DNA molecules are entirely separate from medical records. In the future, however, the DNA molecule and the medical record are likely to merge into one when it becomes possible to sequence a person's entire genome and put that information on a computer chip or disk. This is not deCODE's current project, but we should not wait until this step is taken to explore its implications. The most important questions would then be who has the authority to make such a disk in the first place; who owns the disk; who controls the use of the disk; and whether the disk containing the genome should be treated as specially protected medical information, as is the case for psychiatric and drug-dependency records? In clinical settings, it seems reasonable to treat such a disk as containing particularly private and sensitive medical information. It also seems reasonable to permit patients to agree to have their entire genome scanned without detailing the tens of thousands of tests that would be run. This is akin to consent to a battery of tests during an annual physical examination.
On the other hand, in a research setting, or when a specific genetic disorder is suspected, the creation and use of an individual patient's genome disk should be subject to the informed consent of the patient. And since they can be both separated from the medical record and readily recreated, research subjects should retain the right to have the files containing their genetic information destroyed at any time.
Iceland's experience with deCODE provides a useful catalyst for formulating fair and ethical rules for research on genetic variation. The Icelandic experience demonstrates that people are concerned about how genetic research is done, that medical-records research and DNA-based research are not the same, that community consultation is necessary but not sufficient to justify DNA-based research ethically, that the probable benefits of such research should be spelled out as clearly as possible, and that international standards for consent to and withdrawal from research should apply directly to research on human genetic variation. Rules for such research will retain their relevance even after it becomes possible to transfer all the genetic-sequence information in a DNA molecule to a computer disk."redux [02.13.00]redux [05.26.00]
The Daily Davos Beyond the Genome
"By the spring of this year, the first draft of the human genome -- the sequence of all the genetic instructions needed to make up a human being -- will be published on the Web. But that is only the end of the beginning. Scientists still have very little idea of what most of the 100,000 or so human genes actually do, and finding out will take them into a very different area of research.
The raw material of the genome program has been anonymous samples of DNA, manipulated by complex laboratory machines that turn out information like a production line turns out widgets. But the new era of post-genome research involves analysing real people and their confidential medical records. The records are needed to match the genes that people carry with the diseases they may develop. Only then will gigabytes of genetic data into new treatments for cancer or heart disease. And that is why socialised healthcare is a vital part of post-genome research.
Countries such as the U.S., which provide healthcare through private enterprise, are useless for this sort of genetic inquiry. Only those countries which have organized the delivery of healthcare to their population in a way that is independent of the marketplace have built up the universal medical records necessary to make sense of the patterns of disease."
Yahoo! News Partners HealthCare and DeCODE Genetics Join Forces Against Disease
"Through a better understanding of the genetic components of disease, the alliance aims to pioneer new diagnostic and therapeutic approaches to common illnesses and to develop leading-edge bio- informatics that can improve the quality of healthcare.The three-year agreement includes research and business collaborations in three distinct areas. First, the alliance will enable Partners and deCODE scientists to form joint research teams to identify and compare disease- causing genes or loci responsible for diseases in both the Icelandic and Massachusetts populations. Second, the two entities will be able to collaborate on basic research related to these new genes and on the discovery of novel approaches to preventing and treating common diseases. Third, deCODE will provide Partners with healthcare informatics systems resulting from deCODE's development of the Icelandic Health Sector Database (IHD). These technologies will strengthen Partners' existing information system infrastructure, enabling a more comprehensive population-based approach for its genetics research and facilitating collaborations between the two parties. deCODE has the right to develop and market products and services resulting from the collaborative research programs."
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Oscar Gruss & Son Trends in Commercial Bioinformatics
""The purpose of this document is to provide an overview of the rpidly emerging field of "commercial bioinformatics."
"For the purposes of this review, we define bioinformatics as the backbone computational tools and databases that support genomic and related research, which broadly encompasses the study of DNA structure/function, gene expression and protein production/structure/function.""
redux [05.10.00]
Alfred P. Sloan Foundation Hiring Patterns Experienced by Students Enrolled in Bioinformatics/Computational Biology Programs
"As expected, salaries for the most part climb as the level of training rises, starting in the $40,000-$50,000 range for BAs and reaching over $100,000 for one post doc. But there are exceptions. For example, two of the three undergraduates who were placed received salaries between $50,0000 to $60,000. This is higher than that earned by seven of the masters students, although ten of the nineteen masters students for whom we have salary information earn more than $60,000. One masters student received a starting salary of over $100,000. Reported salaries for five hires at the doctorate level are over $70,000. One is between $80,000 to $90,000; another is over $100,000; yet another is between $60,000 to $70,000. Three post docs received placements with a salary between $80,000 to $90,000. One post doc was placed at a salary of over $100,000. One institution reported that one or more masters student(s) received a signing bonus.""The results of our current survey make it clear that the majority of these jobs are not being filled by graduates of formal programs—who by our count represent about 15 percent of the positions advertised in 1997. And, we believe the 15 percent figure to be an overestimate given that ads have been growing over time and our most recent ad count is for 1997, a year earlier than our hiring data. This leads us to infer that most of the advertised positions are being filled by individuals trained in informal programs and by individuals who change jobs. The distinct possibility exists that a number of these jobs remain vacant for a period of time, an issue not studied here. Furthermore, our pipeline estimates (see Table 2) lead us to conclude that the number of individuals currently enrolled in formal programs falls far short of the number of positions that have recently been advertised."
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Tools The Ensembl Project
"Ensembl provides complete and consistent annotation across the human genome. It will soon also process mouse, (in conjunction with other projects, hopefully people like the Jackson Lab). To understand how Ensembl fits into the human genome project, please read EnsemblHGP"
"A central element of the Ensembl project is openness: all data is freely available; all code is freely available. You can read about the EnsemblSoftwareDesign and about how to DownloadEnsembl software and data and how to go about InstallingEnsembl on your own site in our developers area. You can follow Ensembl announcements, user discussion or development issues via a number of mailing lists as well as view previous emails here."
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redux [05.01.00]
Stanford Medical Informatics Preprint Archive Ontology-Oriented Design and Programming
"In the construction of both conventional software and intelligent systems, developers continue to seek higher level abstractions that both can aid in conceptual modeling and can assist in implementation and maintenance. In recent years, the artificial intelligence community has placed considerable attention on the notion of explicit ontologies -- shared conceptualizations of application areas that define the salient concepts and relationships among concepts. Such ontologies, when joined with well defined problem-solving methods, provide convenient formalisms for modeling and for implementing solutions to application tasks. This chapter reviews the motivation for seeking such high-level abstractions, and summarizes recent successes in building systems from reusable domain ontologies and problem-solving methods. As the environment for software execution moves from individual workstations to the Internet at large, casting new software applications in terms of these high-level abstractions may make complex systems both easier to build and easier to maintain. "Gene Ontology Consortium
"This is the home of the Gene Ontology Consortium. The goal of the Gene Ontology consortium is to produce a dynamic controlled vocabulary that can be applied to all eukaryotes even as knowledge of gene and protein roles in cells is accumulating and changing.""The three organising principles of GO are molecular function, biological process and cellular component. A gene product has one or more molecular functions and is used in one or more biological processes; it may be, or may be associated with, one or more cellular components."
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BioInform As Celera Nears Finish Line, Myers Prepares for Post-Assembly
"Gene Myers, who gained notoriety in the pages of The New Yorker last week as a perpetually chilled, Nerf gun-shooting, emerald earring-wearing computer scientist, is the brain behind Celera’s assembly project. But assembling the human genome sequence, a task Myers and his team are expected to complete any day now, is just the first stage in his career at Celera, where he is director of informatics research.
After assembly, computational biologists will have their work cut out for them, Myers told BioInform. “I don’t think that our tools and capabilities in assisting biologists to investigate whole genomes at systemic levels are up to par. The right tools and right infrastructures have not been built.”
While existing tools are good, lack of integration is the weak link, Myers asserted. “What you are striving for is to allow a biologically focused investigator to sit down at a machine and generate conjectures for experiments,” he said. “I don’t think anyone’s gotten near the right formula for that.”"
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Stanford Medical Informatics Preprint Archive Bioinformatics in Support of Molecular Medicine
"Basic biological science has always had an impact on clinical medicine (and clinical medical information systems), and is creating a new generation of epidemiologic, diagnostic, prognostic, and treatment modalities. Bioinformatics efforts that appear to be wholly geared towards basic science are likely to become relevant to clinical informatics in the coming decade. For example, DNA sequence information and sequence annotations will appear in the medical chart with increasing frequency. The algorithms developed for research in bioinformatics will soon become part of clinical information systems. In this paper, I briefly review the intellectual roots of bioinformatics and how the field has evolved in the last few years. Fortunately, a core set of scientific paradigms have provided a focus to the field. Even in this short period, however, there has been a change in the nature of the questions being asked and the types of experiments being attempted. These changes are consistently leading bioinformatics towards problems of clinical relevance. Some molecular biology information systems already have important clinical implications. I will discuss the differences in the culture and approach to science of clinical informatics and bioinformatics, but will argue that the two disciplines share important intellectual challenges which make them very closely allied fields (despite the cultural differences). Finally, I will identify a few areas common to both disciplines where developments in one field may help catalyze faster progress in the other. For example, useful database integration technologies have (arguably) matured more rapidly within bioinformatics than in clinical informatics. At the same time, clinical informatics embraced the idea of controlled terminologies relatively early, and offers lessons to those in bioinformatics attempting similar tasks."
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redux [02.25.00]
Science U.K. Plans Major Medical DNA Database
[summary - can be viewed for free once registered]
"Following the examples of Iceland, Sweden, and Estonia, the United Kingdom is drawing up plans to create a national database linking the DNA of 500,000 of its citizens to their medical records and lifestyle details. Its main goal is to tease apart the genetic and environmental components of conditions such as cardiovascular disease and cancer and, eventually, to come up with new drugs to treat--or even prevent--these conditions. An expert panel is currently hammering out a strategy for setting up the database and is due to report its recommendations next month.”
redux [05.26.00]
British Medical Journal Genetic epidemiology
"Research in disease aetiology has shifted towards investigating genetic causes, powered by the human genome project. Successful identification of genes for monogenic disease has led to interest in investigating the genetic component of diseases that are often termed complex, that is, they are known to aggregate in families but do not segregate in a mendelian fashion. Genetic epidemiology has permitted identification of genes affecting people's susceptibility to disease, although progress has been much slower than many people expected. While the role of genetic factors in diseases such as hypertension, asthma, and depression is being intensively studied, family studies and the large geographical and temporal variation in the occurrence of many diseases indicate a major role of the environment. Thus, it is necessary to consider findings about susceptibility genes in the context of a population and evaluate the role of genetic factors in relation to other aetiological factors. This article discusses some approaches used to resolve the genetic architecture of disease and to study the relation of genes to environmental factors in the population. "
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redux [02.13.00]
The Daily Davos Beyond the Genome
"By the spring of this year, the first draft of the human genome -- the sequence of all the genetic instructions needed to make up a human being -- will be published on the Web. But that is only the end of the beginning. Scientists still have very little idea of what most of the 100,000 or so human genes actually do, and finding out will take them into a very different area of research.
The raw material of the genome program has been anonymous samples of DNA, manipulated by complex laboratory machines that turn out information like a production line turns out widgets. But the new era of post-genome research involves analysing real people and their confidential medical records. The records are needed to match the genes that people carry with the diseases they may develop. Only then will gigabytes of genetic data into new treatments for cancer or heart disease. And that is why socialised healthcare is a vital part of post-genome research.
Countries such as the U.S., which provide healthcare through private enterprise, are useless for this sort of genetic inquiry. Only those countries which have organized the delivery of healthcare to their population in a way that is independent of the marketplace have built up the universal medical records necessary to make sense of the patterns of disease."
redux [05.15.00]
The New York Times Who Owns Your Genes?
[requires 'free' registration]
""I just wanted to do something good," Mr. Fuchs said. "But once money came into the picture, why not have it be shared with me?"These days more and more patients are asking the same question. Laboratories offer tests for more than 700 human genes, with more being discovered almost daily. And, for almost every gene, some medical institution or some company owns a patent on its use.
"The value of patients' tissues has potentially gone up enormously," said Dr. Barry Eisenstein, the vice president for science and technology at the Beth Israel Deaconess Medical Center in Boston. But, Dr. Eisenstein said, patients whose cells provided the genes that have been patented are almost never compensated. "
redux [05.26.00]
Yahoo! News Partners HealthCare and DeCODE Genetics Join Forces Against Disease
"Through a better understanding of the genetic components of disease, the alliance aims to pioneer new diagnostic and therapeutic approaches to common illnesses and to develop leading-edge bio- informatics that can improve the quality of healthcare.The three-year agreement includes research and business collaborations in three distinct areas. First, the alliance will enable Partners and deCODE scientists to form joint research teams to identify and compare disease- causing genes or loci responsible for diseases in both the Icelandic and Massachusetts populations. Second, the two entities will be able to collaborate on basic research related to these new genes and on the discovery of novel approaches to preventing and treating common diseases. Third, deCODE will provide Partners with healthcare informatics systems resulting from deCODE's development of the Icelandic Health Sector Database (IHD). These technologies will strengthen Partners' existing information system infrastructure, enabling a more comprehensive population-based approach for its genetics research and facilitating collaborations between the two parties. deCODE has the right to develop and market products and services resulting from the collaborative research programs."
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redux [06.03.00]
Washinton Post IBM to Put Genetics on Fast Track
"Here is the plan: IBM scientists intend to spend five years building the fastest computer in the world, 500 times faster than anything in existence today. It will suck down every spare watt of electricity and throw off so much heat that engineers have bought a gas turbine the size of a jet engine to cool it.
The machine, dubbed Blue Gene, will be turned loose on a single problem. The computer will try to model the way a human protein folds into a particular shape that gives it unique biological properties. Obscure as it may sound, that kind of puzzle is at the heart of mankind's efforts to understand the nature of consciousness, the origins of sex, the causes of disease and many other mysteries."
redux [03.29.00]
LinuxWorld Farming, Linux-Style
"Gone are the days when any pioneer with a bit of hardware, hard code, and hard work could run a small Linux farm and compete with the best plantations. The smart folks at biotech firm Incyte Genomics of Palo Alto, Calif., have just invented agribusiness. You remember everything you ever tried to tell your boss or colleagues about Linux's stability, price performance, and reliability? Well, Incyte has put those ideas to the test and come up grinning like a bandit.
To map the human genome, Incyte runs the world's largest commercial Linux farm, with more than 2,000 Linux processors chomping away on tens of millions of jobs per day. In its datacenter, laid out like a temple in the middle of Incyte's corporate headquarters, space costs a king's ransom -- but the company has come up with clever ways to address that problem..."
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redux [06.06.00]
SiliconValley.Com Researchers deny they're in a race to complete human genome map
"Leaders of two groups mapping the human genes said they are not in a race, but are trying to reach the same goal using different methods and the results will be "complementary.''
Asked about their competition, [Francis] Collins told reporters, "racing is the wrong metaphor. I wish you would stop using it.''"
"Venter hinted that Collins' group and his company may be in discussions about a joint announcement, but declined to be specific."
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iBiomatics SAS Spins Off New B2B Internet Company for Biomedical Research
""Packaging and delivering research information over the Internet changes the structure of biotechnology and drug development," says Lee Evans, president of iBiomatics and previous executive director of SAS PharmaHealth Technologies. "For the first time, research organizations of all sizes will have access to biomedical information through a Web browser. They can focus on scientific research, and iBiomatics will deliver, leverage and add value to their information."
""Since information is now the primary catalyst and currency of any marketplace, we believe that the growth of other markets will pale in comparison to that of bioinformatics over the next decade," says Doug Laney, vice president of the META Group, an IT advisory services firm. "The forthcoming deluge of information from unraveling the genome, matched with the accessible analytic output from collaborative biomedical research ventures like iBiomatics, will enable unfathomable advances in life sciences and spawn countless ancillary industries." "
redux [05.23.00]
The Standard DNA Detectives
"For all the "brave new world" rhetoric surrounding the recent rapid advances in genetics, scientists are only on the threshold of understanding how genes work and their role in health and disease.So too are the DNA dot-coms in their search for success. By combining strains of Wall Street's two favorite industries of the moment – biotech and the Internet – online genomics companies have reaped valuations last seen by Net companies circa 1999. "You take the two great buzzwords, 'genome' and 'Internet,' put them together and someone will throw money at them..."
"But the rush to go public has made the DNA dot-coms vulnerable to the volatility that seems to strike biotech and Net startups particularly hard. "
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redux [03.21.00]
BBC News Tests spark fears of genetic underclass
"The UK Government is considering allowing insurance companies to use genetic testing to assess a person's risk of inheriting a serious illness."
"One opponent of the wider use of genetic testing said it was part of a "terrifying trend" that would lead to a culture of "cherry picking"."redux [02.25.00]
Science U.K. Plans Major Medical DNA Database
[summary - can be viewed for free once registered]
"Following the examples of Iceland, Sweden, and Estonia, the United Kingdom is drawing up plans to create a national database linking the DNA of 500,000 of its citizens to their medical records and lifestyle details. Its main goal is to tease apart the genetic and environmental components of conditions such as cardiovascular disease and cancer and, eventually, to come up with new drugs to treat--or even prevent--these conditions. An expert panel is currently hammering out a strategy for setting up the database and is due to report its recommendations next month.”
redux [02.13.00]
The Daily Davos Beyond the Genome
"By the spring of this year, the first draft of the human genome -- the sequence of all the genetic instructions needed to make up a human being -- will be published on the Web. But that is only the end of the beginning. Scientists still have very little idea of what most of the 100,000 or so human genes actually do, and finding out will take them into a very different area of research.
The raw material of the genome program has been anonymous samples of DNA, manipulated by complex laboratory machines that turn out information like a production line turns out widgets. But the new era of post-genome research involves analysing real people and their confidential medical records. The records are needed to match the genes that people carry with the diseases they may develop. Only then will gigabytes of genetic data into new treatments for cancer or heart disease. And that is why socialised healthcare is a vital part of post-genome research.
Countries such as the U.S., which provide healthcare through private enterprise, are useless for this sort of genetic inquiry. Only those countries which have organized the delivery of healthcare to their population in a way that is independent of the marketplace have built up the universal medical records necessary to make sense of the patterns of disease."
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redux [03.30.00]
JAMIA Integration and Beyond: Panel Discussion
"I think one of the toughest things we all have to deal with is updating our dictionaries. In the simplest cases, the name of an organism is changed and we just have to do the maintenance. It is tougher, when, as with Citrobacter, they do genetic studies and say, "Oh, it's really six different organisms, not one." We have the human genome project coming very quickly. Even that is just the tip of the iceberg. We're not only going to see all the genes; we're then going to see clinical tests based on gene expression. Essentially, you'll be able to look at something on the order of 180,000 gene products and whether they're up or down regulated. How are we going to integrate such an incredible amount of data at a time when we're going to also be changing how we think about these processes? Classification and simple mapping are not going to work, because the lumpers and splitters are going to be arguing furiously on a daily basis."
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redux [05.23.00]
The Standard DNA Detectives
"For all the "brave new world" rhetoric surrounding the recent rapid advances in genetics, scientists are only on the threshold of understanding how genes work and their role in health and disease.So too are the DNA dot-coms in their search for success. By combining strains of Wall Street's two favorite industries of the moment – biotech and the Internet – online genomics companies have reaped valuations last seen by Net companies circa 1999. "You take the two great buzzwords, 'genome' and 'Internet,' put them together and someone will throw money at them..."
"But the rush to go public has made the DNA dot-coms vulnerable to the volatility that seems to strike biotech and Net startups particularly hard. "
Chemical & Engineering News Bioinformatics for the Masses
"As computing and biology have converged, software tools for data capture, management, analysis, mining, and dissemination have emerged. More than 40 companies, most of them small, are trying to capitalize on the development and marketing of new bioinformatics tools. Whereas the market for generated data or "content" is very lucrative, bioinformatics sales are expected to reach about $160 million this year, according to market research firm Frost & Sullivan""Who I really want as customers are the scientists themselves," says John Couch, chief executive officer of DoubleTwist , Oakland, Calif. "We're challenged in this field to deliver something to the scientists so that they can do their science."
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BusinessWeek The Genome Gold Rush
"But for all the drama behind the unveiling of humanity's genetic code, the race marks a beginning, not an end. In fact, the pharmaceutical and biotech industries are already drowning in a flood of genetic information, says Mihael Polymeropolous, vice-president for pharmacogenetics at Novartis. ''That's why this race for me is a little silly,'' he says. ''The real race is who will develop the tools to analyze the genome first.''"
"Another consequence of this flood of information is that the computer has become one of the most important tools in biology. Consider these experiments. You want to measure how each of tens of thousands of drugs affects every one of humanity's 34,000 to 120,000 genes and its 1 million proteins. Or you want to compare the sequences of thousands of unknown proteins with the 3 billion bits of DNA in the human genome. In each case, the amount of data to analyze is mind-boggling. ''We have reached a point where processing information is one of the major bottlenecks,'' says Sharon L. Nunes, senior researcher at the computational biology center at IBM's T.J. Watson Research Center.
Once the information problem has been solved, scientists will be left with a wealth of possibilities. Having the full human genome sequence and all these new tools ''will keep researchers busy for a long time,'' says Vincent Dauciunas, head of strategic planning in the chemical analysis group at toolmaker Agilent. ''I call it the Full-Employment Act for the millennium.''"
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Conference: The Bioinformatics Industrialization Workshop : Bioinformatics Comes of Age
"Pilot Workshop Co-sponsored by IBM, The Task Force on Bioinformatics of the International Union for Pure and Applied Biophysics, and The Whitehead Institute for Biomedical Research"
"The underlying theme throughout the workshop will be the identification and exploration of process bottlenecks, the scientific factors that influence the quality of data, and the choice of software and data standards.Potential areas of interest for discussion groups include 'New Scientific Challenges', 'Urgently Required Tools', 'Analyzing hundreds of new genes per day', 'Data Management: Storage and Incrementing on Flatfiles and Relational Data Bases', 'Federalization and Data Mining', 'Linkage to Expression and Metabolic Simulation', 'Linkage to Chemoinformatics' 'Linkage to Biblioinformatics' 'The Data Flow Network', 'The Fully Electronic Life Science Company' 'Integration and Automation','Automated Drug Design', 'Simulation and Deep Computing', 'Specialized Hardware', 'The Blue Gene Project'. Informal discussions will be encouraged to address the Expertise Shortage in Bioinformatics, including the shortage of qualified job candidates and will explore methods of increasing the pool of expertise along with associated discussions on the possible relevance and potential impact of Expert Systems."
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