A5059142933- Biomedical Text Mining and Ontologies
- Semantic Web and Ontologies
- Bioinformatics and Genomic Networks
- Topic Modeling
- linguistics and terminology studies
- Computational Drug Discovery Methods
- Patient-Provider Communication in Healthcare
- Natural Language Processing Techniques
- Data Quality and Management
- Empathy and Medical Education
- Genomics and Phylogenetic Studies
- Antimicrobial Peptides and Activities
- Health Sciences Research and Education
- Biochemical and Structural Characterization
- Lipid metabolism and biosynthesis
- Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes
- Pharmacogenetics and Drug Metabolism
- Digital Mental Health Interventions
- Probiotics and Fermented Foods
- Misinformation and Its Impacts
- Data-Driven Disease Surveillance
- Machine Learning in Bioinformatics
- Artificial Intelligence in Healthcare
- Artificial Intelligence in Healthcare and Education
- Library Science and Information Systems
Clinical Solutions
2023
Optum (United States)
2023
Stanford University
2015-2021
RELX Group (United States)
2020-2021
RELX Group (Netherlands)
2020
Ollscoil na Gaillimhe – University of Galway
2013-2015
Indian Institute of Technology Kharagpur
2014
St. John's University
2013
European Bioinformatics Institute
2013
Ontario Institute for Cancer Research
2013
Reactome (http://www.reactome.org) is a manually curated open-source open-data resource of human pathways and reactions. The current version 46 describes 7088 proteins (34% the predicted proteome), participating in 6744 reactions based on data extracted from 15 107 research publications with PubMed links. Web site analysis tool set have been completely redesigned to increase speed, flexibility user friendliness. model has extended support annotation disease processes due infectious agents mutation.
Reusing ontologies and their terms is a principle best practice that most ontology development methodologies strongly encourage. Reuse comes with the promise to support semantic interoperability reduce engineering costs. In this paper, we present descriptive study of current extent term reuse overlap among biomedical ontologies. We use corpus stored in BioPortal repository, analyze different types constructs. While find an approximate between 25-31%, only <9%, reusing fewer than 5% from...
Bioinformatics research relies heavily on the ability to discover and correlate data from various sources. The specialization of life sciences over past decade, coupled with an increasing number biomedical datasets available through standardized interfaces, has created opportunities towards new methods in discovery. Despite popularity semantic web technologies tackling integrative bioinformatics challenge, there are many obstacles its usage by non-technical audiences. In particular, fully...
In this deliberately provocative position paper, we claim that more than ten years into Linked Data there are still (too?) many unresolved challenges towards arriving at a truly machine-readable and decentralized Web of data. We take deeper look key in usage adoption D ata from the ever-present "LOD cloud" diagram.1 Herein, try to highlight exemplify both technical non-technical success LOD, outline potential solution strategies. hope paper will serve as discussion basis for fresh start...
Integrated approaches for pharmacology are required the mechanism-based predictions of adverse drug reactions that manifest due to concomitant intake multiple drugs. These require integration and analysis biomedical data knowledge from multiple, heterogeneous sources with varying schemas, entity notations, formats. To tackle these integrative challenges, Semantic Web community has published linked several datasets in Life Sciences Linked Open Data (LSLOD) cloud using established W3C...
Linked Open Data promises to provide guiding principles publish interlinked knowledge graphs on the Web in form of findable, accessible, interoperable, and reusable datasets. We argue that while as such, may be viewed a basis for instantiating FAIR principles, there are still number open issues cause significant data quality even when published Data. First, define boundaries single coherent within Data, principled notion what dataset is, or, respectively, links between datasets are, has been...
While the biomedical community has published several "open data" sources in last decade, most researchers still endure severe logistical and technical challenges to discover, query, integrate heterogeneous data knowledge from multiple sources. To tackle these challenges, experimented with Semantic Web linked technologies create Life Sciences Linked Open Data (LSLOD) cloud. In this paper, we extract schemas more than 80 open into an LSLOD schema graph conduct empirical meta-analysis evaluate...
Diacylglycerol acyltransferase (DGAT) activity is an essential enzymatic step in the formation of neutral lipid i.e., triacylglycerol all living cells capable accumulating storage lipid. Previously, we characterized oleaginous yeast Candida tropicalis SY005 that yields up to 58% under a specific nitrogen-stress condition, when DGAT-specific transcript drastically up-regulated. Here report identification, differential expression and function two DGAT2 gene homologues- CtDGAT2a CtDGAT2b this...
Ebola virus (EBOV), of the family Filoviridae viruses, is a NIAID category A, lethal human pathogen. It responsible for causing disease (EVD) that severe hemorrhagic fever and has cumulative death rate 41% in ongoing epidemic West Africa. There an ever-increasing need to consolidate make available all knowledge we possess on EBOV, even if it conflicting or incomplete. This would enable biomedical researchers understand molecular mechanisms underlying this help develop tools efficient...
The amount of bio-medical data available on the Web grows exponentially with time. resulting large volume makes manual exploration very tedious. Moreover, velocity at which this changes and variety formats in is published it dicult to access them an integrated form. Finally, lack vocabulary querying more dicult.In paper, we advocate use Linked Data integrate, query visualize data. Big allows discovering knowledge distributed across manifold sources, making viable for serendipitous discovery...