Recent Updates

Last post
Notes from the biomass will continue at nftb.net. My...
spitshine - 2006-07-16 13:11
Stubborn
OK, you got me. While technically not blogging at the...
spitshine - 2006-07-07 10:55
Greetings from another...
Greetings from another HBS-founder (media-ocean.de)....
freshjive - 2006-06-15 20:06
HBS manifesto will be...
Hi there! I am one of the hard blogging scientsts. We...
020200 - 2006-06-15 18:13
Latter posts - comment...
Things to do when you're not blogging: Taking care...
spitshine - 2006-04-29 18:46

About this blog

About content and author

A few posts of interest

The internet is changing... Powerpoint Karaoke
Quantifying the error...

Link target abbreviations

[de] - Target page is in German
[p] - Paywall - content might not be freely available
[s] - Subscription required
[w] - Wikipedia link
More...

Search

 

Archive

April 2005
Sun
Mon
Tue
Wed
Thu
Fri
Sat
 
 
 
 
 
 1 
 2 
 3 
 4 
 5 
 6 
 7 
 9 
10
11
12
15
16
17
18
20
21
22
23
24
25
26
27
28
29
30
 

Credits

vi knallgrau GmbH

powered by Antville powered by Helma


Creative Commons License

xml version of this page
xml version of this page (summary)

twoday.net AGB

What's left to do in bioinformatics

Recently, I stumbled across this paper that describes an approach to predict the localization of proteins in yeast.
I was suprised and giggling in my chair, because the whole yeast proteome was screened for its localization by Huh et al. , so why would any body agree to publish such a method. Obviously, the study by Huh et al. fails to get a signal for each and every protein due to experimental reasons. Some proteins are simply not accessible and the authors of the computational study simply fill the gaps.
However, it appears to me that the task feels trivial and wonder what bioinformatics, at least the part that's want to predict biolological properties. So far, no method was really good at predicting the localization from sequence but the task appears simple compared to fold prediction - which has been predicted (by David Baker, if I am not mistaken) to be good once all the folds have been discovered experimentally.

I wonder, whether there will be bioinformatic predictions of real impact. Can you name a few?
Greg Tyrelle - 2005-04-11 06:03

Alternative splicing

One example that I'm familiar with is predicting the extent of alternative splicing based on sequences found in EST databases. The original predictions showed that alternative splicing was more prevalent than previously thought. Many studies since then, both experimental and computational, have confirmed this.

I don't know if this qualifies in the same league as protein fold prediction, but it has had an "impact".

Trackback URL:
http://binf.twoday.net/stories/616695/modTrackback

Elsewhere...

Status

Online for 4585 days
Last update: 2006-07-16 13:11

Blogs
Conferences
Databases
Journals
Meta
Misc.
Papershow
Patents
PPI
Predictions
Publishing
The young PI
Useful tools
Profil
Logout
Subscribe Weblog