Bioask
latha prabakar
Friday, 25 July 2008 06:05 UTC
I am Dr.Latha. I am working as a Senior Scientific Officer in Serendio Pvt Ltd. We have developed a product “Bioask” which is a next generation literature mining tool similar to pubmed, but with much more advanced features and functionality. BioAsk is a tool which is targeted at lifescience reasearchers across the world. The limited version of the tool is available for free for you to evaluate at www.bioask.com.. You can view our site inwww.bioask.com. Bioask operates in the space of discovery informatics. Discovery informatics is concerned with creation of newest information from existing information whether the information is already available or flows through a communication channel.
I would like to present you why literature mining is esential for lifescience Researchers/Pharma company. There is tremendous explosion in all forms of electronic data in various fields like molecular biology, chemistry, drug discovery etc. The highthrough put method such as microarray , mass spectrometer, genome sequencing method have generated wealth of data, that has to be handled in efficient way to access the knowledge otherwise that would became futile.
So information is overloaded, fetching kowledge is like searching a pin in haystack.
Researchers often spend in internet for searching a particular information to achive their goal but without any guarantee that they have got relevant information.
Our goal is in short time saves researcher’s time by spending more time on analysing the results rather on searching for it. Our long term goal is to hypothsis generation.
Features of Bioask- Semantic-sensitive Discovery and NOT just word Search
- Literature Informatics versus traditional search results
- Support for wide array of Metadata & Data formats and types
- Mashup friendly architecture
- Infinitely scalable
- Implemented on commoditized hardware for low cost of ownership
- Flexible – easy to use tools provide full administration, monitoring, analytics and reporting
- Improved Precision/Relevance thru’ Concept Filters & User Specialization
- Serendipitous Discovery thru’ Similar Results Search, Related Concepts Search and Clustering
- Content aggregation from Patent, Google Scholar, Google in addition to Medline
- On Demand Collaboration with peers and domain experts
- Collaboration features – On-demand research help – Clipboard/Export/Print/Save/Email options – Translation & Document Procurement Services – Private Messaging
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Replies
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Hi Latha,
thanks for the info. Your approach of mining the public domain is an important one. There is a wealth of information out there that awaits mining and interpretation.
My group is pursuing this approach as well. As you know there is a rich source of microarray data out there. However, proteomics data are scattered all over the place. The same is true for metabolomics data. A decent mining tool would certainly come in handy.
My gut feeling is that biomarkers are already out there buried in big data files.
Chris
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Hi Chris,
Thanks for your reply and your information, I have also worked on writting rules for extracting biomarker information from the biomedical text data.(not from microarray data) and automated the process . I need your suggestions regarding this.
Latha
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hi Latha
your approach really seems to be great and very user friendly. what everyone really requires is good filters i mean when you type in a key words what u r searching for, sometimes u just get hundreds of hits and most of the data is what you r not looking for thus wasting a lot of time n energy.
Currently I am using highwire, i am sure u might be knowing abt it.
i really appreciate its a good system coming up.
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