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Anyone know of any other good online ressources to learn more about bioinformatics? I think its a fascinating topic and have been meaning to learn more about it for a while now.


Don't start with organic chemistry or genetics unless you have a 5-year plan. Basic understanding of molecular biology (structure of DNA, central dogma, etc.) will be enough to get started. Finally, here is a book (1) that describes many algorithmic problems in bioinformatics that a techie could relate to.

[1] http://www.amazon.com/Introduction-Bioinformatics-Algorithms...


Coursera seems to have s course on Genome Science: https://www.coursera.org/course/genomescience



You have to start with organic chemistry and genetics. If you don't, you won't have a good understanding of what's going on.

Bioinformatics itself is huge, there are many many areas - protein folding, protein interaction, DNA/RNA interaction, all kinds of taxonomies, evolution, gene mapping, systems biology, etc etc etc.

I strongly suggest you pick something particular, because, otherwise, it's easy to waste years on learning many topics and not have any deep progress on anything in particular.



I'm not familiar with the research cited in the article, however it seems the author is making some inconsistent points refering to it.

He says there are two different ways of reading(ventral route and dorsal stream) and that the latter way is preferable because it is more conscious of the actual text being read. When reading on digital devices he worries that we will only be reading through the ventral route, because the clear display quality will make it so easy for us the read the letters and words.

Now, there is a few things I'm wondering about: In practice, do we actually ever read through the dorsal stream? In the research experiments quoted, this was archived through rotating letters or errant punctuation, both of which we do not usually encounter in actual books.

The author also mentions the dorsal stream being activated because of an obscure word, or an awkard subclause. This seems more like the thing that would in practice cause us to use the dorsal stream. Is the dorsal stream active in cases of difficult texts, e.g. scientific papers?

If that is so, then it seems to me that it is not so much a question of wether you read on a digital device with great display quality or a simple book, but instead it seems to be of much greater importance what it is that you are reading. A Dan Brown book, would probably only activate the ventral route on both mediums, whereas the newest P[!|=]=NP proof would probably always activate the dorsal stream. Is my understanding of the ventral route and dorsal stream correct?


The actual success rate(people buying something in response to the mail) of Spam Emails is really, really low. Its only profitable for Spammers because it costs pretty much nothing to send millions of emails. Now, if you actually paid someone to write these emails by hand, sure your response rate would be better but I seriously doubt the whole thing would still be profitable.

Also, I think that personalized adds and recommendations(Amazon,Google,Facebook,etc.) have a much higher success rate, simply because they have more information about you and can therefore recommend products that you are more likely to buy. Spammers could of course also collect information about you to personalize their Spam, but considering that most add/recommendation systems work automatically(and are pretty good), I don't think paying someone to create these recommendations would be worth the effort.


> its only profitable for Spammers because it costs pretty much nothing to send millions of emails.

And because there are still idiots that buy spamvertised goods and services.


The important thing is education (and not calling people idiots.) I realized that after sharing this article as a PSA of sorts on Facebook:

http://arstechnica.com/business/news/2010/03/idiot-users-sti...

I'm sure that there's an article somewhere that would serve the same purpose and doesn't insult all of your Facebook friends.


Good point, thanks.

Spam is a continuous source of irritation and that shines through sometimes.


There is also free Android and Iphone versions available in the market/App store.


For anyone looking for a Haskell job, this was recently submitted: http://news.ycombinator.com/item?id=1608147 I'm also under the impression that functional languages are just generally used more extensively in the financial(high frequency trading for example) sector than in other areas.


It works quite well for an early version. I used it on a few apps to change some minor things in the layout. However, it does not generate actual Java source code but instead disassembles the Dalvik executables to generate smali code(http://code.google.com/p/smali/).


Looks pretty cool. Anyone know anything more about how these images were created(is there software available, etc.)?


At a guess, use three identical cameras and trigger them simultaneously, then use almost any image package to create a animated GIF that displays in a loop.


I believe most enterprise systems are fairly expensive. Maybe you would consider building your own system? I have done a similar thing, by writing a plugin for Google Desktop Search that indexes TIF files. Writing a plugin is pretty straightforward. Now for the OCR part, there is only a few Open Source OCR engines, the most popular being Tesseract. The quality of Tesseract's results is pretty good and I believe is sufficient for many systems.


Raw Tesseract is a pain to use. http://code.google.com/p/ocropus/ This is much easier to deal with and uses Tesseract as the default engine - this is a google funded project btw.


I was searching for "laptop" and the first result page did not contain one single laptop. The categories "Electronics" and "Computer" do not contain any laptops either. So, considering that your slogan is "Find the product you are looking for" I have to say I doesnt really seem to work. Also I think the logo has a little to many color combinations in it, looks a little confusing. Sorry I dont have anything nice to say.


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