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

June 2005
Sun
Mon
Tue
Wed
Thu
Fri
Sat
 
 
 
 1 
 2 
 3 
 5 
 6 
 7 
 8 
 9 
10
11
12
13
14
16
17
18
19
22
23
24
26
29
 
 
 

Credits

YeastHub - the semantic web at work

The current issue of Bioinformatics describes the YeastHub database , created by the Gerstein lab.

Yeast is a well sampled and organism with many high throughput data sets to integrate and several established and curated resources such as MIPS, SGD and what used to be YPD.

The new YeastHub data base connects available data using semantic web technologies such as RSS, RDF and a relational to RDF mapping. The set of technologies has the potential to solve many of the small problems one has do deal with when integrating data across many sources.

Eagerly, I tested the data base but was a little let down: While I see the obvious benefits, many small problems appear, which taken together, make the system not really very helpful to the average bioinformatics user, let alone a biologist in the the yeast community.

The lack of descriptions of formats of the data sources makes it tough to create queries and I did not really get past trivial results. I also dearly missed capabilities to browse the data sets. However, it appears as if these technologies will become more and more important and the old tab separated tables hopefully disappear one fine day.
greg - 2005-07-03 16:07

ISMB YeastHub talk notes

I took notes at the YeastHub talk presented at ISMB2005, they are available here. None of the current uses of RDF in the life sciences (or elsewhere) do not really address the issue of aggregating "arbitrary RDF data".

For example, based on the talk, YeastHub uses wrappers to convert existing data sources to RDF and stores those in a Sesame database. I don't think this is any different from a data wearhouse (i.e. write wrappers, store in a relational database).

spitshine - 2005-07-04 17:13

Is there a relational data ware house solution available for yeast that would be equally capable of performing cross data set queries?
The technologies are around for quite some time already and I don't think that the established data bases did solve the problem in a open, easy to add manner but rather created monolithic structures.

Technically, the solutions is not all that different really, I agree.

Trackback URL:
https://binf.twoday.net/stories/781220/modTrackback

Trackbacks for this Story

this is very good - 2006-06-14 08:35

this is very good

related source [read more]

Elsewhere...

Status

Online for 7176 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