Bioinformatics FAQ

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We're in the process of moving the subsections to separate articles. Please pardon the mess.

Contents

Bioinformatics

What is bioinformatics?

What are the origins of bioinformatics?

What are the most common bioinformatics programs?

What are the most common bioinformatics technologies?

How are data analyzed in bioinformatics?

Fields Related to Bioinformatics

What is biophysics?

What is computational biology?

What is medical informatics?

What is cheminformatics?

What is genomics?

What is mathematical biology?

What is proteomics?

What is pharmacogenomics?

What is pharmacogenetics?

Books: Can you recommend any bioinformatics books?

It's notoriously difficult to find any books on bioinformatics itself that cater well for all of those coming from computing, from mathematics and from biology backgrounds. The few textbooks available in the field tend to be eyewateringly expensive as well. I've divided suggested reading into [#generalBooks books of general interest], [#computerScientistsBooks those] best suited to people coming from a computational/mathematical background and [#biologistsBooks books for biologists interested in bioinformatics]. After my suggestions are some links to other lists of bioinformatics books.

General introductions

Many people are curious about the Human Genome (Project). The completion of the first draft probably represents bioinformatics' coming of age as a discipline. The first couple of books are aimed at the intelligent layperson.

A gossipy and insightful account of the race to sequence the genome can be found in "The Sequence" by Kevin Davies [Weidenfeld; ISBN 0297646982]. Matt Ridley's "Genome" [Fourth Estate; ISBN 185702835X] is both an interesting layperson's introduction to the issues raised by the bioinformatic revolution and an overview of its biology and enormous scope. If I remember rightly, Ridley's book received a slightly snooty review from Walter Bodmer. This is understandable, since his and Robin McKie's excellent "pre-genomic" guide to the Human Genome Mapping Project, "The Book of Life" [Oxford Paperbacks; ISBN 0195114876] was undeservedly in a remainders bin when I bought my copy a couple of years ago.

If you are a non-biological scientist (or a non-scientist) and are hooked by these, why not go back to the "real beginning" of the race and read James Watson's entertaining and indiscreet memoir of his and Francis Crick's determination of the structure of DNA, "The Double Helix" [Penguin; ISBN 0140268774]---now updated with an introduction by media don Steve Jones.

Nigel Barber at Peterborough Regional College in the UK recommends Gary Zweiger's "Transducing the Genome" [McGraw-Hill Professional Publishing: ISBN 0071369805]. The summary at Amazon makes it sound a tad pretentious, but all the reviews seem pretty positive so it might be worth a read.

If you are a quantitative scientist and would like a deeper knowledge of contemporary (molecular) biology, but you want to acquire it as painlessly as possible you could try the following:

Computational/Mathematical aspects

If you are a hardcore maths/computing person Michael Waterman's "Introduction to Computational Biology" [Chapman & Hall/CRC Statistics and Mathematics; ISBN 0412993910] and Pavel Pevzner's "Computational Molecular Biology - An Algorithmic Approach" [The MIT Press (A Bradford Book); ISBN 0262161974] will give you all the discrete maths you can shake a stick at, but perfunctory introductions to the biology.

Bioinformatics.Org's very own Jeff Bizzaro recommends Dan Gusfield's "Algorithms on Strings, Trees and Sequences" [Cambridge, 1997 ISBN 0-52158-519-8], Richard Durbin, S. Eddy, A. Krogh, G. Mitchison "Biological Sequence Analysis: Probabilistic Models of Proteins and Nucleic Acids" [Cambridge, 1997 ISBN 0-52162-971-3] (which I think is one of the clearest and most comprehensive guides to alignment algorithms) and---for that full "computers-to-biology conversion"--- Geoffrey M. Cooper "The Cell: A Molecular Approach" [ASM Press, 1996 ISBN 0-87893-119-8]. Jeff Ames writes that a second edition of this book is now available [Sinauer Associates, Incorporated, 2000 ISBN 0-87893-106-6] and that this version---if you can find it in the shops---comes with a CD.

Applying bioinformatics to biological research

One outstanding general text for the biologist is David W. Mount's "Bioinformatics" [Cold Spring Harbor Press; ISBN 0879696087]. It's not cheap, but it's the best I've seen if you are studying bioinformatics itself.

Bioinformatics has been dismissed by some as "the science of BLAST searches". The best collection of advice so far on doing BLAST searches is O'Reilly's BLAST book by Ian Korf, Mark Yandell and Joseph Bedell [O'Reilly ISBN 0-596-00299-8]. I reviewed it enthusiastically, but not uncritically, for the UK UNIX Users' Group magazine. I'd go as far as to say that all biologists thinking of using BLAST in their research should read the relevant sections before they even go near a computer.

If you wish to use general bioinformatics tools, especially if you are a little wary of computers, my new "best" book is "Bioinformatics for Dummies" [John Wiley and Sons ISBN 0764516965]. It is (obviously) aimed at people who are beginners, who are happier using the Web rather than typing commands, and who are more interested in learning than in impressing people---the writing is friendly clear and unpretentious. However, like several of my other tips (below) it concentrates on Web-based resources so it will, inevitably, date. (This is partially compensated for by there being a companion Website.)

Also, if you're coming to the subject as a computer user with a biological background, looking to exploit the many tools available, you might want to try Terry Attwood and David Parry-Smith's "Introduction to Bioinformatics" [Longman Higher Education; ISBN 0582327881], or Des Higgins and Willie Taylor's "Bioinformatics: Sequence Structure and Databanks" [Oxford University Press; ISBN 0199637903]. Another excellent practical introduction is Andreas Baxevanis and Francis Oulette's "Bioinformatics: A Practical Guide to the Analysis of Genes and Proteins" [Wiley-Interscience; ISBN 0471383910], now in its new and improved second edition. Bax teaches bioinformatics all over Canada and the experience shows.

Bioinformatics.Org also recommends Cynthia Gibas and Per Jambeck's "Developing Bioinformatics Skills" [O'Reilly, 2001 ISBN 1-56592-664-1].

Stuart Brown recommends his own book "Bioinformatics: A Biologist's Guide to Biocomputing and the Internet" [Eaton Pub Co; ISBN: 188129918X]. If he sends me a review copy I might recommend it too ;-) .

Fiction books

"Darwin's Radio" by Greg Bear [Ballantine Books, ISBN: 0345435249] is a wonderful hard SF thriller which stretches ideas derived from genome discoveries to their breaking point. It's gripping and humane.

Leonard Crane, the author of Ninth Day of Creation kindly sent me a copy for review. So far it's an excellent read. I haven't finished it yet, not because it isn't a rattling good story, but because, like "Darwin's Radio", it is very long and because I am very busy. If you'd like to read a well-researched, but speculative, novel containing actual scenes of practising bioinformatics then try it.

Ken Allen contributed the following reviews:

"Frameshift [Tor Books, ISBN: 0812571088] by Robert J. Sawyer---based around the HGP---reasonable read, but poor / confused ending."

Calculating God [Tor Books, ISBN: 0812580354]by the same author---has a subtler bio connection and is a much better read. Near the start an alien spacecraft lands, the alien emerges and says 'take me to your paleontologist'

Other lists of bioinformatics books

See also compbiology.org's list, Steve Brenner's list, and Aik Choon Tan's collection of books.

Centres of Bioinformatics Activity: Where is bioinformatics done?

The biggest and best source of bioinformatics links I have encountered is the Genome Web at the Rosalind Franklin Centre for Genomics Research at the Genome Campus near Cambridge, UK. Most of the links below come from that resource. My list is necessarily limited by comparison.

Research Centers

Sequencing Centers

Standard Centers

Virtual Centers for Bioinformatics Activity

Online Resources: What bioinformatics Websites are there?

Blogs

Information

Directories

Societies

Collections of Tools

Portals

Tutorials

Education: Where can I study Bioinformatics...

This section is not complete, but contributions to broaden its coverage are welcome. Please do not direct questions about eligibility, course quality or admissions policy to me, but to ask the individual institutions directly. Use the links to obtain contact details. If an institution doesn't provide telephone numbers/email addresses or snailmail details on its Web site it doesn't deserve your patronage.

This resource focuses on complete, full-time degree programmes rather than on individual study modules. Curating a list of the latter would be a full-time job. You can go to other places, however, if you are looking for short courses. Thanks to various [#acknowledgementsLinks contributors], including Wentian Li who pointed me to this list at Rockefeller which is mirrored at various other sites. And to Humberto Ortiz Zuazaga for mailing me a link to the ICSB, where you can find this list.

If you are interested in U.S. programmes, here's a list from Curtin and here's a list from Stanford. Thanks to Amelie Stein who also supplied some of the individual entries in this section.

Those wanting to find programmes in the Asia Pacific region could have a look at this resource maintained by the Asia Pacific Bioinformatics Network APBioNet. Thanks to Sentausa.

In the UK The Bioinformatics Resource (part of the BBSRC's CCP11 project) project maintains (among many other resources) lists of (mainly) British Masters and PhDs in bioinformatics. If you have any suggestions or updates please [/sendmessage.php?toaddress=counsell_maillink_bioinformatics.org contact] me with them. You can publicize your course and offer a public service at the same time.

Africa

The Americas

Asia

Australia

Europe

Distance or Correspondence Courses

Careers: How can I become a bioinformatician?

Getting Involved

Bioinformatics Jobs

Practical tips

This section includes some simple rules-of-thumb to apply when performing common bioinformatics tasks. I try to give a reference to a more detailed source of guidance where I know of one.

Finding a Sequence

Aligning Two Sequences

Predicting the Fuctions of a Gene

Predicting the Structure of a Sequence

Simulating a Biomolecule

Publishing

Glossary of bioinformatics terms

Here I attempt to define some common terms in bioinformatics. I have tried to balance clarity, brevity and rigour. Let me know if I let one of these priorities over-ride the others.

Sequence Alignment

DNA Array

Homologue

Ontology

Scoring Matrix

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