A work proposal over DNA regulation.
I would like to scan OMIM for human diseases caused because of regulatory disturbances. I would like to classify these diseases based on the levels at which the problem has occured such as chromatin sturcutre, initiation, trasncript processing, transport to cytoplasm, translation of mRNA, stability of mRNA and stability of the protein activity itself. The goal is to find the patterns emerging in these regulatory regions which lead to normal functioning/disease of the system.
If any of you has idea of what I am talking and is interested, I would like to get in touch with you and start this work.
Waiting to hear from you guys,
Animesh
(sharma.animesh@gmail.com)


Comments
Hello Sharma,I welcome your
Hello Sharma,
I welcome your proposal, but if you want people to take an interest it will need to be more specific. What follows are a few general comments:
At the end of the day whoever makes a proposal for a virtual collaboration will need to put a significant amount of effort in to making it "compelling" (i.e. why would a lot of intelligent, busy people, want to spend time working on this project ?).
For example how do you plan to "scan OMIM" ? OMIM is a largely a free text database, so any scanning would need to rely on natural language processing (NLP). Now not to be too cynical of the potential for text mining to be useful in biology, current results suggest there is still along way to go. Even if you do manage to get useful information out of OMIM, you then face the very real problem of heterogeneous data integration: chromatin structure, transcript processing and initiation, transport to cytoplasm, translation of mRNA, stability of mRNA and stability of the protein. All require data from different, highly incompatible, databases. Not to mention the fact that a lot of experimental data is just not available in machine processable formats.
Thx for comments
Hey Greg,
Thanks for your comments. I do know what you are pointing at, it is a challenge to scan free text. But that is not my idea I wud like to lose the steam on. I am looking for people who are more into biology then computer sciences. Even if it come to scanning OMIM manually (which I am sure it will), I feel people like you can still make it 50% automated. Once we scan OMIM for digging out diseases caused by the distrubance in regulation, we have to iteratively go deeper into these genes, manual or automatable, it really doesnt matter as long as biology is concerned (though it will slow down the analysis, but what the heck... it will be a learning process and may be we can hit upon jewels or do some significant advancement in NLP... GOD knows :)... anyways I am going to start this stuff. CGMIM (http://www.bccrc.ca/ccr/CGMIM/home.html) has given me a point to start from...
Cheers,
Ani
______________________"The Answer Lies in Genome"______________________
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