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BY VIRGINIA GEWIN

his January, Alexander Sczyrba and his colleagues published what was at the time the largest metagenome ever Tassembled (M. Hess et al. Science 331, 463–467; 2011). Collecting and collating genetic material from environmental samples is always a chal- J. ENDICOTT/IMAGES.COM/CORBIS lenge; in this case, the meta­genome came from parts of a cow’s stomach, and contained more than 27,000 biomass-degrading genes and 15 microbe genomes. It totalled 268 gigabases. “We had to develop new algorithms to run analyses on computer clusters, or clouds, as using traditional methods would have taken 80 years on a single computer,” says Sczyrba. Sczyrba wants to focus his career on similar complex, leading-edge analyses. But the path hasn’t been straightforward; when he was looking for a postdoc in 2008, it was tough to find institutions that could generate or analyse such large data sets. He landed a post at the US Department of Energy Joint Genome Institute (JGI) in Walnut Creek, California: a large-scale sequencing facility that offered access to data, computing resources and brain power. In 2010 alone, the JGI sequenced 170 meta­genomes. Soon, however, big sequencing centres won’t be the only sources of data. “With next-gen- eration sequencing, everybody can produce sequences; it’s the analysis that is getting more important,” says Sczyrba. Modern biologists need to be able to manage large data sets and explore new computational tools. FINDING A PATH Qualified candidates are hard to find, say recruiters in both industry and academia. That may be because, so far, there hasn’t been a typical career path for bioinformaticians or computational biologists. “Often we find that it’s the people motivated to simply roll up their sleeves and figure out on their own how to work with these data that have the strongest EDUCATION skills,” says Jim Bristow, deputy director of pro- grammes at the JGI. As more departments are established, the often circuitous routes once required to attain such skills will probably be Inspiration for replaced by more direct paths. The challenge is finding a training programme that will help researchers to keep pace in a rapidly changing, technology-driven field. informatics By conventional definitions, bioinformati- cians develop new ways to acquire, organize and analyse biological data, whereas computa- Trainees in and computational tional biologists develop mathematical models should seek depth of knowledge over breadth. or simulation techniques to work out the

6 OCTOBER 2011 | VOL 478 | NATURE | 143 © 2011 Macmillan Publishers Limited. All rights reserved CAREERS

data’s biological significance. But these lines Aspiring principal investigators can go one Center in Nijmegen, cater to students with are blurring, and departments and training step further to find the best graduate training backgrounds in either computer science or programmes are both proliferating and com- for the career they want, by deciding whether biology. “We want to train the tool shapers as bining the fields. to focus on developing tools, such as algorithms well as the people more into applying the tools “The demand for computational-biology to analyse data, or applying those tools to turn in a biological setting,” says Celia van Gelder, training that we have today is way more than data into knowledge. the centre’s education project leader. “Over was expected a decade ago,” says Burkhard “The most important the past 10–20 years, the field of biology has Rost, president of the International Society decision a trainee can become more computational, with bioinfor- for , which is based in make is what kind of matics serving as an interdisciplinary field that La Jolla, California. research programme links researchers who can’t otherwise readily D. E. GILBERT they want to build,” talk to one another.” The scope of work is wid- NOT JUST SKIN DEEP says Robert Murphy, ening, she says. As a result, demand for bioin- The most obvious training route — pursuing founding director of formatics training continues to increase across an undergraduate degree in bioinformatics a computational-biol- Europe — with greater emphasis placed on data — isn’t necessarily the best for a budding ogy PhD programme analysis at all levels. “We produce trainees who researcher. Some undergraduate programmes run jointly between have multidisciplinary training in molecular- fail to provide the depth of knowledge sought the University of biology principles as well as algorithms to deal by employers. “Often these trainees come with “We don’t know Pittsburgh in Penn- with data,” says Jaap Heringa, the centre’s sci- great-looking CVs, but when we press them on where we’ll sylvania and Carnegie entific director for bioinformatics education. what they are capable of doing, they tend to be in ten years Mellon University, “Things move so fast in bioinformatics, we are be rather weak,” says Nick Goldman, research because the also in Pittsburgh. constantly innovating our courses,” he adds. and training coordinator at the European Bio- technologies and The University of Murphy agrees; Carnegie Mellon and the Uni- informatics Institute in Hinxton, UK. Gold- ideas are moving California, Los Ange- versity of Pittsburgh offer in-depth training. man is most impressed by applicants who have so fast.” les (UCLA), has a “We are pretty clear in the application materials actively pursued training in both informatics Alexander Sczyrba bioinformatics PhD that our programme is not for people who want and the area of research in which they’re inter- programme designed to get enough of a smattering of computational ested — for example, someone with a comput- to shape the tool developers. It accepts only biology to get a job,” says Murphy. ing degree who has done a molecular-biology candidates who demonstrate a core strength project (see ‘Talent checklist’). in an analytical field such as computer science EXPANDING OPTIONS Goldman says that students should be wary or maths, or have a dual degree combining one This trend towards creating more comprehen- of learning about only the latest software of these fields with biology. Christopher Lee, sive, interdisciplinary training programmes or genome-mining tool, without gaining a director of the programme, says that many bio- has gained momentum at biology strongholds full understanding of the biological topics. informatics courses are affiliated with data-rich in the United States. In July 2010, Dartmouth Recruiters want savvy scientists who under- biology labs on campus, supplying the students Medical School in Hanover, New Hampshire, stand technology’s ability to address questions. needed to tackle a flood of data. They often lack, established the Institute for Quantitative Steve Cleaver, head of quantitative biology at however, the matrix of expertise necessary to Biological Sciences in nearby Lebanon. Its Novartis Institutes for BioMedical Research in conduct innovative analyses. Lee hopes that the graduate offerings combine modules in bio- Cambridge, Massachusetts, says that the key UCLA programme will foster such expertise. informatics, and . to a sustainable career in the field is the ability A few graduate training programmes, nota- “We have created what we think is a model of to turn a scientific question into a statistical bly those at the Netherlands Bioinformatics the future — training computational-biology hypothesis. “But those who can ride the tech students to speak multiple languages beyond waves are well positioned to find career suc- bioinformatics,” says the centre’s director, cess,” he adds. Without a doubt, he adds, the BASIC SKILLS Jason Moore. He adds that the key is assum- next generation of biologists will be more con- ing complexity rather than simplicity when versant in bioinformatics. “It’s all about cross- Talent checklist approaching a problem. training — getting the appropriate training In August, Moore secured funding to cre- in both analytical science and biology during ●●Be at least conversant in the broad ate a US National Institutes of Health (NIH) graduate school to make a meaningful contri- range of disciplines contributing to Center for Biomedical Research Excellence, bution,” says Cleaver. bioinformatics — from statistics to through which he will mentor five early- Picking a programme with comprehensive molecular biology to computer science. career bioinformatics faculty members, to be training modules in statistics, computer sci- recruited over the next 3–4 years. After two ence and/or biology can be an effective strategy. ●●Most work, especially in industry, is years of learning how to secure competitive But Søren Brunak, director of the Center for done in teams, so communication skills funding, among other things, trainees will be Biological Sequence Analysis at the Technical are always in demand. required to submit an application for an R01 University of Denmark in Lyngby, says that grant, the NIH’s main funding mechanism. researchers should avoid training programmes ●●Get experience in handling massive “We really want to provide a well rounded that focus on just a few data types. With the data sets. Learn to parse data or run education so that our new recruits can secure expansion in high-throughput sequencing analyses in parallel — using, for example, funding for — and conduct — well designed of genomes, proteins and metabolites, pro- cloud computing. studies in computational biology,” says Moore. grammes that focus on a single area, such as Other medical schools are also taking the genomics, don’t adequately prepare students ●●Learn to write programmes in software plunge. Duke University School of Medicine in for the job market, says Brunak. “Analyses con- languages such as Perl or R. Durham, North Carolina, formed its Depart- ducted now are much more reliant on combina- ment of Biostatistics and Bioinformatics in tions of data types — for example, combining ●●Cultivate a deep knowledge of at least 2000. This year, it opens its first master’s pro- molecular-level data with patient records — one area of biology. V.G. gramme, says Elizabeth Delong, chair of the than they were before,” he notes. department.

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And in September, the University of Michigan Medical School in Ann Arbor established a computational-medicine and bioinformatics department to help attract

new faculty members and trainees. In June, LARK/CORBIS BEAU Emory University School of Medicine in Atlanta, Georgia, launched a biomedical- informatics department with the goal of combining expertise in imaging, computer science and biology to improve patient care. It will recruit four or five researchers over the next few years. “Our particular strength is training computer scientists who want to transition into biomedical informatics, and bringing them together with clinicians to use informatics to treat disease,” says department chair Joel Saltz. COLUMN Qualified postdocs remain in demand. “It can be very difficult for individual inves- tigators to hire a postdoc in bioinformat- ics,” says Tom Tullius, interim chair of the The human touch bioinformatics programme at Boston Uni- versity in Massachusetts. He attributes the A little empathy goes a long way in the competitive paucity of candidates in part to efforts over confines of a laboratory, argues Lydia Soraya Murray. the past several years to build large teams at high-powered institutes — such as the Broad Institute in Cambridge, Massachu- s almost every scientist knows, a everyone needs some sort of coping mecha- setts, or the Wellcome Trust Sanger Institute person’s first year in research is an nism. Losing this mechanism is always a in Cambridge, UK emotional minefield. One minute disaster. — leaving smaller Ayou’re flying high. The next, you’re banging In truth, there is no magic answer for how labs struggling to your head against the wall, resisting the urge to deal with a disappointment rate of 90%. find talent. The to draw in results with a marker pen. Forget the Some people build up walls to protect them- M. VAN ZWAM M. VAN growth of train- F-word; in science, it’s the O-word that gener- selves, but this can result in suppression of all ing programmes ates dread. I sometimes think that ‘optimizing’ emotion. And let’s be honest: given the hours could ease this. should be spelled ‘r.e.p.e.a.t.e.d.f.a.i.l.u.r.e.s’. that scientists work and the wages we earn, it Now sequenc- After a stimulating yet often soul-destroying is mostly our passion that keeps us chained ing centres start to my PhD, I have decided that coming to to the lab bench. Dulling the rare moments won’t be the sole terms with the lows is one of the most impor- of true toe-tingling excitement when things providers of tant things that you can take away from your work and we discover something for the first data, individual first year. Never mind the dreaded literature time would be far too big a sacrifice. But others “We want to researchers, par- review; this is unquestionably more important. might have quite a different attitude and feel train the tool ticularly at medi- Because scientists do incredibly special- the disappointment so acutely that it destroys shapers as well cal centres, will ized and often misunderstood work, it can be their confidence and paralyses them. Channel- as the people have ample data to hard for people outside our particular fields to ling your emotion into something manageable more into fuel research and empathize with our attachment to our projects. is truly important. I suggest that anyone new applying the training. “We’ve I have a close friend who is a physician. After to research should find healthy ways to deal tools.” passed out of the several weeks of my hard work culminated in with their frustrations. Some people read or Celia van Gelder period of genome what can be described only as ‘diddly squat’, play a sport; others go out dancing. My cop- projects where my friend offered these consoling words: “It’s ing mechanism is a large glass of red wine and there were amazing public data raining not as if someone has died”. To this day, I don’t a fantastic group of friends who put up with down from the heavens; it’s now possible think he realizes how close he came to getting my rants, then shut me up with a good dose of to do exciting work without being associ- stabbed in the eye with a pipette. Instead of perspective and insight. ated with data-generating centres,” says Lee. taking bloody revenge, I pointed out that if Humans are social animals, and sometimes Sczyrba, who begins a junior faculty researchers didn’t care so much, he would still solitude enhances the feeling of ineptitude position in metagenomics at the University be treating head colds with leeches — a less and makes dealing with a disappointment of Bielefeld Center for Biotechnology in satisfying but more legal response. even harder. Maybe next time someone wan- Germany this autumn, says that unpredict- Unfortunately, voicing frustrations to col- ders past you gazing forlornly at their lab book ability is what makes the discipline so excit- leagues can be just as futile, and prompt the with that oh-so-familiar look of puzzlement ing. “We don’t know where we will be in ten short and not so sweet response: “That’s sci- and frustration, a wee pat on the back and a bit years because the technologies and ideas are ence”. To be sure, cultivating a career in the of camaraderie might help. Yes, ‘that’s science’. moving so fast,” he says. As Cleaver notes: frighteningly competitive world of research But perhaps they’ll see that success is possible “Perhaps the best career strategy is to stay leaves no room for hand-holding or molly­ despite repeated failures. flexible and curious.” ■ coddling, and I truly believe that principal investigators need full-body elephant-hide Lydia Soraya Murray is a PhD student in Virginia Gewin is a freelance writer in transplants to achieve the thick skin required molecular genetics and cell biology at the Portland, Oregon. for the job. However, we are all human and University of Glasgow, UK.

6 OCTOBER 2011 | VOL 478 | NATURE | 145 © 2011 Macmillan Publishers Limited. All rights reserved