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Showing posts with the label NLP

Free online courses from Stanford's Coursera, MIT's MITx, and Udacity

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    Class Central Summary of free online courses from Stanford's  Coursera , MIT's  MITx , and Udacity UPCOMING   15 COURSERA COURSE(S)   1 MITX

Python Text Processing with NTLK 2.0 Cookbook - Ebook Free Download

Python Text Processing with NTLK 2.0 Cookbook - Ebook Free Download

Application/Resource Developer Position @ Linguamatics

Linguamatics is currently seeking a talented post graduate with experience of natural language processing to work on leading edge text mining products. You will be responsible for developing and maintaining resources for domain specific adaptation of real-time semantic search software based on Natural Language Processing. Working closely with application scientists and the development team, you will ensure that the combination of software and resources satisfies customer requirements. This will include developing linguistic patterns, and programs to transform domain specific terminologies into common formats and keep them up-to-date. You will be working on life science applications, and some knowledge of the Pharmaceutical or Healthcare industry would be useful.In addition to resource and application development, you will be expected to contribute to ongoing UK or EU funded research projects as part of the research and resource development team. You will have strong communication ski...

Lockheed Martin to Apply Text Mining to Medical Records to Merge Phenotypic, Genomic Data

Lockheed Martin is working with researchers at Johns Hopkins University and medical informatics firm Sage Analytica to mine a "unique" set of medical records with the aim of integrating clinical and genomic data for prostate cancer research. The researchers are using Lockheed Martin's rule-based natural language processing platform, called ClinRead, to extract phenotypic descriptors from a set of clinical records tracking 33 men with metastatic prostate cancer for over 15 years before they succumbed to the disease. (Read Full Article)

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 literature and is the fastest growing knowledgebase currently. XTractor Premium platform is Fast Becoming the definitive Semantic Knowledge discovery & Expert curated Knowledgebase for Life Science Researchers. The XTractor Premium Knowledgebase in addition to more than 503,985 relationships on proteins, drugs, biological process and diseases has advanced semantic search, concept linking analytics for effective knowledge discovery and modeling. XTractor Premium provides Precision based mining of the most relevant facts. Compared to natural language processing engines, manual annotation approach reduces false positives rate by 12-35%. XTractor premium serves as a platform to stay current with weekly updates from PubMed. Provides “Topic Tracking” with email alerts on spe...

Curated databases and data curation

"There does appear to be a distinction between the way curation is used in the bio-sciences, and elsewhere. In particular, the term "curated database" tends to mean a manually constructed database that links literature to data, curated by experts who provide authority (eg see the Wikipedia definition of Biocurator ). The earliest mention of the term "curated database" I can find is in the abstract (and only in the abstract) of Larsen et al (1993)." Chris Rusbridge Digital Curation Blog Since these database are hand curated by experts (manually curated), they always promise a accuracy & quality better than uncurated or NLP based databases. While NLP based databases follow a automated curation provide quick updates and tend to be large in terms of the quantum of data. While they may trade off in accuracy due to their automated curation process. While platforms like XTractor Premium follow a unique approach by trying to adopt the best of both worlds. A ...

XTractor Premium Application Note on Nature|Methods

Published Literature findings act as a key driver for decision making in drug discovery and biotechnology industry. Majority of the researchers prefer PubMed for published literature since it is a free resource for dissemination of scientific information. Data mining biomedical information from PubMed has been a long-standing problem for many researchers across the globe. On an average more than 50,000 scientific abstracts get published in PubMed every month and for a researcher it is a highly time consuming task to pick the most relevant abstracts everyday and annotate them accurately for research purposes. Though many text mining NLP (Natural Language Processing) engines are used to address this problem, manually annotated data has its own advantages in terms of accuracy and quality of the data that is captured. However, one of the major disadvantages with manual data mining still happens to be the processing time and its cost intensive nature. So the need arises for a system, which ...

XTractor Premium for scientists to access data stored in PubMed says Knowledgespeak

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Life sciences informatics company Molecular Connections , India, has announced the availability of XTractor Premium, a knowledge management platform, for the biomedical research community. The product is projected to provide scientists with new and refined ways to access the latest scientific facts from PubMed. Pharmaceutical companies, researchers and scientists can use the platform to identify, verify and develop predictive relationships from PubMed Literature. Leveraging the ability to transform data to knowledge and to assist experts is seen to be crucial to the success of research investigation today. XTractor Premium offers several enhancements over the beta version in managing large volume of published biomedical data to accelerate decision making. The XTractor knowledgebase currently contains 150,000 relationships on biomarkers, clinical trials, pathways, knockout studies, mutations, drug interactions and disease mechanisms. The knowledgebase is updated everyday with manually a...

The XTractor Premium Knowledgebase surpasses 150000 mark

XTractor Premium - a platform for discovery, analysis and modelling of published biomedical facts. The application also comes with -XTractor Premium Knowledgebase - the only knowledgebase, which provides "manually" annotated facts from PubMed on a daily basis.The XTractor Premium Knowledgebase now has more than 150000 relationships. TAGS: text mining, manual annotation, data alerts, pubmed, genes, drugs, processes, diseases, free, data mining, tag, drug discovery, web 2.0, natural language processing, data analysis, visualization, concept linking, abstraction, precision, recall, data accuracy, proteins, interactions, index, query, MeSH, NLM, manual curation, protein interactions, abstraction, abstracts, accuracy, accurate, data, annotations, biological process, biomedical literature, categorization, colloborations, concept linking, curate, curation, data accuracy, data alerts, literature, categorization, colloborations, concept linking curate curation data accuracy data ale...

Tracking common gene polymorphisms across multiple Diseases with XTractor Premium

text mining, manual annotation, data alerts, pubmed, genes, drugs, processes, diseases, free, data mining, tag, drug discovery, web 2.0, natural language processing, data analysis, visualization, concept linking, abstraction, precision, recall, data accuracy, proteins, interactions, index, query, MeSH, NLM, manual curation, protein interactions, abstraction, abstracts, accuracy, accurate, data, annotations, biological process, biomedical literature, categorization, colloborations, concept linking, curate, curation, data accuracy, data alerts, literature, categorization, colloborations, concept linking curate curation data accuracy data alerts da, abstracts, annotations, biological process, categorization, colloborations, data accuracy, data analysis, data mining, drug discovery, MeSH, molecules, natural language processing, NLM, NLP, precision, processes, protein function, protein interactions, publishing, pubmed, query, rec...

Mayo Clinic, Microsoft Team on Patient Health Record Plus

Mayo Clinic is extending its brand across the country. This time, it is offering a free personal health record on the Microsoft HealthVault platform. The Mayo Clinical Health Manager , as the PHR is known, will provide not only a secure place to store medical records online, but also guidance from Mayo experts that will be tailored to the information contained in that PHR. If you are a 50-year-old man with diabetes and hypertension, for example, you will receive information about how you should take care of those conditions and the tests you should receive. Initially, Mayo Clinic Health Manager will include tools and features that help consumers manage pediatric and adult wellness, immunizations, pregnancy and asthma. Forthcoming features will help users with type 2 diabetes, high cholesterol, and/or high blood pressure. According to Mayo’s press kit , PHR users will be able to “transfer data directly into [a] Mayo Clinic Health Manager profile from a wide range of providers, devices...

Does your everyday research constantly demand answers to such questions?

Ask XTractor - XTractor™ now turns ON its ‘Insta Search’. Get a snapshot of the XTractor data for your desired query using the Insta Search feature. Which are the biological processes involved in Leukemia? What are the drugs associated with Ovarian Neoplasm? What are the diseases modulated by FRAP? Then get a snapshot of the XTractor data from the latest published abstracts on your questions using the 'Insta Search' feature. Be a part of the XTractor community. XTractor is the first of its kind - Literature alert service , that provides manually curated and annotated sentences for the Keywords of user preference. XTractor maps the extracted entities (genes, processes, drugs, diseases etc) to multiple ontologies and enables customized report generation. With XTractor the sentences are categorized into biological significant relationships and it also provides the user with the ability to create his own database for a set of Key terms. Also the user could change the Keywords...

XTractor™ - Creates a user base of over 900 users from 150 premier organizations worldwide.

US FDA , NIH , NCI , MD Anderson , Harvard Medical School , Novartis , Wyeth , AstraZeneca , Vertex , P&G , JNJ many more subscribe to XTractor. “XTractor™ is an intelligence that works so unconscious even for the users to perceive. It is fascinating as to how quickly XTractor transforms the most complex scientific facts into structured knowledge almost instantaneously by bringing about cross entity relationships across abstracts thereby aiding in quicker decision making through the Drug Discovery process” Bangalore, India, October 12, 2008 --( PR.com )-- Indian Life Sciences Informatics Company, Molecular Connections announced today, that its XTractor™ - The first of its kind scientific literature alert service launched in July ‘08 has built a user base of over 900 users form more than 150 premier organizations. XTractor™ has been widely accepted and received well in the scientific fraternity both the academia and the industry across the globe. Be a part of the XTractor commun...

The future of biocuration

Blogging about curation in the past several issues have been discussed but here is something very critical. To thrive, the field that links biologists and their data urgently needs structure, recognition and support. Biocuration , the activity of organizing, representing and making biological information accessible to both humans and computers, has become an essential part of biological discovery and biomedical research. But curation increasingly lags behind data generation in funding, development and recognition. Three urgent actions to advance this key field. First, authors, journals and curators should immediately begin to work together to facilitate the exchange of data between journal publications and databases. Second, in the next five years, curators, researchers and university administrations should develop an accepted recognition structure to facilitate community-based curation efforts . Third, curators, researchers, academic institutions and funding agencies should, in the ...

Customize your Data Needs from PUBMED

Provision to change keywords with user’s changing research preferences in PUBMED data Be a part of the XTractor community. XTractor is the first of its kind - Literature alert service , that provides manually curated and annotated sentences for the Keywords of user preference. XTractor maps the extracted entities (genes, processes, drugs, diseases etc) to multiple ontologies and enables customized report generation. With XTractor the sentences are categorized into biological significant relationships and it also provides the user with the ability to create his own database for a set of Key terms. Also the user could change the Keywords of preference from time to time, with changing research needs. The categorized sentences could then be tagged and shared across multiple users. Thus XTractor proves to be a platform for getting real-time highly accurate data along with the ability to Share and collaborate. Sign up it's free, and takes less than a minute. Just click here: www.xt...

Launch of XTractor™ -a powerful scientific literature alert & abstraction system, now with unlimited free access.

Bangalore, India — Indian Life Sciences Informatics Company, Molecular Connections announced today, the release of XTractor™, a first of its kind manually curated literature alert service. XTractor™ can be accessed free of charge by the scientific community world wide. XTractor™ acts as a literature alert service, which provides scientists with manually annotated scientific facts from literature. It enables researchers to be up-to-date with the latest scientific publications in the STM arena, as and when they are published. Once registered the scientists have the freedom to choose their keywords of choice and also set the frequency at which they wish to receive these alerts. Mining scientific literature to retrieve accurate hits or extract entity relationship has always been a long-standing problem in research. It is a daunting task to identify the right gene name or the right drug name and extract relations/association with diseases, processes; pathways etc accurately fo...

Smart tools to track, analyze and visualize research II

Previously blogging about Smart tools to track, analyze and visualize research discussed about the latest trends in literature abstraction, alert services and analysis tools. This time as a sequel check out one of the finest alert service using the web 2.0 technology. It is absolutely FREE! It is very simple, just visit the site www.xtractor.in and register. Almost immediately you are provided with a user-name and pw to access the alert service. Smart tools to track, analyze and visualize research II Talking about the development in the field of literature and scientific publication search. Looking beyond NLP some of the advancements and service models based on NLP and other advanced methods. Today to the user's delight there are quite a few companies and organization that provide services that absolutely make a scientist life easy! These services revolve around customized alert services for selected search terms, specific research area of interest even more so pertaining to a ...

Launch of XTractor™ -a powerful scientific literature alert & abstraction system, now with unlimited free access.

Bangalore, India — Indian Life Sciences Informatics Company, Molecular Connections announced today, the release of XTractor™, a first of its kind manually curated literature alert service. XTractor™ can be accessed free of charge by the scientific community world wide. XTractor™ acts as a literature alert service, which provides scientists with manually annotated scientific facts from literature. It enables researchers to be up-to-date with the latest scientific publications in the STM arena, as and when they are published. Once registered the scientists have the freedom to choose their keywords of choice and also set the frequency at which they wish to receive these alerts. Mining scientific literature to retrieve accurate hits or extract entity relationship has always been a long-standing problem in research. It is a daunting task to identify the right gene name or the right drug name and extract relations/association with diseases, processes; pathways etc accurately ...

XTRACTOR™ Data Mining Simplified

The first of its kind - SCIENTIFIC LITERATURE alert service which also provides manually annotated sentences for the keywords of YOUR preference Highly accurate , manually annotated sentences for given keywords. Daily scientific literature updates at your desktop along with extracted facts - manually curated. Provision to change keywords with your changing research preferences. Annotated sentences and abstracts get stored in your profile, as and when they get updated in PubMed. Classify and create your own datasets of annotated facts. Enhanced experiences of reading & analyzing literature. Access your profile / datasets from anytime, anywhere. Discover and Create newer relations from scientific facts classified by the XTractor™ Community. Tag your favorite abstracts and share them across other users. Much more faster and an Absolutely Free Service PRODUCT HIGHLIGHTS Abstract Summarization The XTractor™ system would provide extracted relations in addition to id...

Automatic content for the people

Anyone who has ever built a website knows that maintaining it is a lot of work. There’s just making sure it hasn’t gone offline because the httpd daemon died. Constant monitoring for script kiddies and their SQL injections. Not to mention continually feeding it with fresh content, lest your audience become bored and desert. I’ve always thought it would be cool to build a site that could more or less look after itself. There’s a myriad of content management systems to choose from, most of which are somewhat hackable in whatever language they happen to be coded in. One of the more mature in this respect is Drupal - which is the engine behind Eureka! Science News . It’s a fully-automated science news portal, using a bunch of customised Drupal modules to aggregate, cluster, categorise and rank articles. First impressions are excellent. Coders will enjoy this post at Drupal explaining how it all works.