Pages of links
| An annotated list of bioinformatics books and links (under construction) |
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Pages of links
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Bioinformatics links =
http://www.ii.uib.no/~inge/list.html.
An outstanding page of links.|
Courses
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Representations and Algorithms for Computational Molecular Biology,
a course at Stanford, Spring 1999
This looks very useful.
Statistics in genetics (a course at UC Berkeley)
Principles of computational biology
(a course at Johns Hopkins, Fall 1999) =
http://www.cs.jhu.edu/~salzberg/cs439.html.
A really well-thought-out syllabus, with lots of useful links.
Computational Molecular Biology (a course at Washington University) =
http://www.genetics.wustl.edu/bio5495.
Another good syllabus.
(Sometimes I have trouble with this link.)
Flinders Microbiology.
An extremely cool web-course on microbiology. Look
for the "choose all the lecture notes on one page" option (at certain points),
which make it easier to read the course notes.
UNMC (University of Nebraska Medical Center) Genetic Sequence Analysis Course =
http://molbio.unmc.edu/courses/course-notes.
This is a very
nice how-to software guide, targetted at people who already have considerable
knowledge of molecular biology. It does not address issues of how the
software works.
Methods in Biophysics 1998/99 (a course at UNC Chapel Hill) =
http://hekto.med.unc.edu:8080/COURSES/150.html.
This looks interesting, but it is just a
bare-bones syllabus; there are (for example) no references to the literature.
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Other
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Access Excellence: About Biotech
Principles of Protein Structure Using the Internet
Computational biosciences at ORNL (Oak Ridge National Laboratory) =
"http://compbio.ornl.gov".
ORNL is a big research center in the
field; this site describes their program and software.
Recombinant DNA by James D. Watson, Michael Gilman, and others.
(626 pages, December 1992; $63.95 as of 11/99).
This is a highly regarded classic in the field
(which I haven't looked at). One drawback: it badly needs to be updated.
Genes VI by
Benjamin Lewin, Paul Siliciano, and Martin Klotz.
This is a standard reference (which I haven't seen). It
elicits strong comments, both positive and negative -- see the link.
Computational Methods in Molecular Biology ed. by
Steven L. Salzberg, David B. Searls, and Simon Kasif.
This looks like an interesting book. I just ordered it.
The Computational Structural Biology Program, Lawrence Berkeley Lab
The Sanger Centre's links page.
This includes a list of genome centers.