Blogs about: Manual Annotation
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World's fastest growing Semantic discovery & Expert Curated Knowledgebase platform crosses 500,000 biomedical facts now
Indian Life Sciences Informatics Company, Molecular Connections announced today, that their XTractor Premium platform now has more that 503,985 “Expert” annotated biomedical facts from lit… more →
XTractor- Biomedical Data Alerts
World's fastest growing Semantic discovery & Expert Curated Knowledgebase platform crosses 500,000 biomedical facts now
wrote 3 weeks ago: Indian Life Sciences Informatics Company, Molecular Connections announced today, that their XTractor … more →
XTractor knowledgebase crosses 300000+ facts
wrote 2 months ago: XTractor is one of its kind biomedical literature knowledgebase which updates refined facts from Pub … more →
XTractor outlink Integration with Entrez Gene
wrote 2 months ago: Entrez gene is the most widely used data resource for Gene based information worldwide. To enable r … more →
XTractor Premium - Semantic Search over manually indexed data
wrote 3 months ago: Searching through the vast repositories of biomedical literature, has been a long standing problem. … more →
XTractor Premium published in Nature Methods
wrote 5 months ago: This week we got our first application note on XTractor Premium published in Nature Methods– a scien … more →
XTractor Premium – Increasing coverage of proteins, diseases, drugs and processes
wrote 5 months ago: With the growing number of relationships, XTractor Premium Knowledgebase now contains a more compreh … more →
The XTractor Premium Knowledgebase Touches 188009 mark and still growing.
wrote 6 months ago: XTractor Premium – a platform for discovery, analysis and modelling of published biomedical fa … more →
What do Lung Cancer, Ovarian Cancer, Breast Cancer and Colon Cancer have in common?
— 1 comment
wrote 6 months ago: Common Proteins: ABCB1, AKT1, AKT2, AKT3, ALDH1A1, AURKA, BCL2, BIRC5, CASP1, CASP3, CASP7, CASP8, C … more →
XTractor knowledgebase now touches 150000 relationships
wrote 7 months ago: Last week the XTractor knowledgebase has clocked 150,000 manually categorized biomedical facts. The … more →
Who can use XTractor?
— 1 comment
wrote 7 months ago: XTractor is a generic product designed to enable academic researchers, Pharmaceuticals, Biotech comp … more →
Increased Time and Cost of mining PubMed everyday
wrote 7 months ago: We obtained repeated requests from our customers to develop services, which would enable a researche … more →
Increased Time and Cost of mining PubMed everyday
wrote 8 months ago: www.xtractor.in/premium Researchers are benefited to the maximal when accurate content from Biomedic … more →
Cut on your Data mining Time and Cost with XTractor
wrote 9 months ago: Free Trial at : www.xtractor.in/premium XTractor Premium – a platform for discovery, analysis … more →
XTractor Premium Utilities
wrote 9 months ago: § XTractor enables…. Target and Drug reusability studies §Understanding biological mechanisms … more →
Data mining PubMed manually at a very low cost
wrote 9 months ago: We have begun this service called XTractor from July 2008- and this month we have come out with the … more →
XTractor Premium now at Introductory Offer of $450 for Academic Researchers. Subscribe now and save $300!
wrote 9 months ago: XTractor Premium- the only Knowledgebase that provides accurate manually annotated scientific relati … more →
Get Manually annotated PubMed abstracts everyday
wrote 9 months ago: Highlights- www.xtractor.in/premium Find information extracted by our expert scientists from PubMed, … more →
Molecular Connections Launches XTractor Premium for Effective Knowledge Management and real time access to Biomedical data
wrote 9 months ago: Bangalore, India — Indian Life Sciences Informatics Company, Molecular Connections announced today, … more →
Launch of XTractor™ -a powerful scientific literature alert & abstraction system, now with unlimited free access.
wrote 1 year ago: Bangalore, India — Indian Life Sciences Informatics Company, Molecular Connections announced today, … more →
