What Science/Bioinformatics Magazines Do You Read?
Eric asks: "I am a
software developer getting acclimated to the bioinformatics space by
reading through introductory texts like 'Genome : The Autobiography
of a Species in 23 Chapters' by Matt Ridley, 'Genomes' by T.A. Brown,
and bio journals. I find these sources to be exceptionally
interesting but frequently the information is too detailed or too
light for my purposes. I think the ideal information would come from
a monthly magazine or online forum (like Slashdot) that is geared
towards bright non-biologist computery folk (think Dr. Dobbs with an
emphasis on computational biology -- light but definitely not fluff).
I am particularly interested in new discoveries, research techniques,
and experiments in this space. I am also budget constrained, and only
have $100 a year set aside to access this kind of material. Does
something like this exist, if so which ones do you recommend?" I
think this question serves as a fine follow-up to our last question on
Bioinformatics, may I suggest yet
another
starting point for those interested in this subject?
Have you tried BioInformatics magazine? If so, why didn't you tell us?
If you didn't find this, which means you didn't try google, then why are you asking Slashdot?
Let's not stir that bag of worms...
I keep seeing "bioinformatics" pop up, but never really hear anythign serious about it. Is it really a big enough field to have much in the way of journals specifically for it?
my sig's at the bottom of the page.
$100/year doesn't go too far. If you have a medical school nearby, there's a good chance you can use it for free. Probably not to check out journals, but browsing is free. Even if they don't allow the general public in, there is often a way to buy access. I mean legitimately, not by handing the guard a $10 bill. Even when I was in Princeton, my company had a sort of subscription with Princeton University to use the library.
I've noticed for some time now that articles about science have by far the lowest response rate on slashdot. For example, Designing An Astrophysical Virtual Observatory and Space Station Gets A Blanket got only 4 comments each, and none moderated up to my normal reading level. More typically a science article gets 20-30 comments, compared to the 100-200 comments on other topics. Anybody understand why?
As to what I read... I enjoy New Scientist (scientifiction) when I can get my hands on it, almost always read Scientific American, glance through Science to see if theirs something I might understand (excellent editorials). I'm also getting the email summary of Nature, and occasionally follow the links to their website. Oh, I also enjoy Natural History though it lacks something since since Stephen Jay Gould stopped writing his column.
I guess BioInformatics counts as a Journal and is probably more heavy than what you're looking for.
But I don't think you're going to find what you're looking for. Intermediate publications like Dr. Dobbs exist in CS because there's such a huge market of "practical" computer programmers. And the articles in BioInformatics aren't exactly incomprehensible.
Let's not stir that bag of worms...
> Intermediate publications like Dr. Dobbs exist in CS because there's such a huge market of "practical" computer programmers
Perhaps you are right about no such magazines existing. It's hard to guage the amount of people working in these fields.
Personally I'd love a magazine that focused on research results and computer techniques for acquiring them at an intermediate level.
science magazine is very good. It is not strictly bioinformatics,it covers biology in general, but frequently has bioinformatics related articles. A subscript is i think $90 per year, but it comes out every week, and is uasually about 180 pages. it is published by the american association for the advancement of science.
-- free as in swatantryam - not soujanyam.
Further to other suggestions, BioMedNet.com is a good source of review articles relating to bioinformatics. Here are a few bioinformatics-related online tutorials as well: protein structure prediction: http://www.bmm.icnet.uk/people/rob/CCP11BBS/index. html
principles of protein structure:
http://www.cryst.bbk.ac.uk/PPS2/top.html
hidden markov models:
http://www.comp.leeds.ac.uk/scs-only/teaching-mate rials/HiddenMarkovModels/html_dev/main.html