ReviewMolecular systems biology2008
Life Sciences and the web: a new era for collaboration.
Review in Molecular systems biology, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
17 citing papers in PubMed.
- Panoptes: web-based exploration of large scale genome variation data.Bioinformatics (Oxford, England) · 2017Article
- The semantic web in translational medicine: current applications and future directions.Briefings in bioinformatics · 2015Review
- Action and language mechanisms in the brain: data, models and neuroinformatics.Neuroinformatics · 2014Article
- Preserving sequence annotations across reference sequences.Journal of biomedical semantics · 2014Article
- 'Uncrunching' time: medical schools' use of social media for faculty development.Medical education online · 2013Article
- NCBI2RDF: enabling full RDF-based access to NCBI databases.BioMed research international · 2013Article
- Unintended consequences of existential quantifications in biomedical ontologies.BMC bioinformatics · 2011Article
- Multiscale cancer modeling.Annual review of biomedical engineering · 2011Review
- ePlant and the 3D data display initiative: integrative systems biology on the world wide web.PloS one · 2011Article
- Data standards for Omics data: the basis of data sharing and reuse.Methods in molecular biology (Clifton, N.J.) · 2011Review
- Professional networks in the life sciences: linking the linked.Cancer informatics · 2010Article
- Structured digital tables on the Semantic Web: toward a structured digital literature.Molecular systems biology · 2010Article
- Current trends and new challenges of databases and web applications for systems driven biological research.Frontiers in physiology · 2010Article
- BioGateway: a semantic systems biology tool for the life sciences.BMC bioinformatics · 2009Article
- Alignment of the UMLS semantic network with BioTop: methodology and assessment.Bioinformatics (Oxford, England) · 2009Article
- DASMI: exchanging, annotating and assessing molecular interaction data.Bioinformatics (Oxford, England) · 2009Article
- Accelerating cancer systems biology research through Semantic Web technology.Wiley interdisciplinary reviews. Systems biology and medicineReview
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
Abstract
The World Wide Web has revolutionized how researchers from various disciplines collaborate over long distances. This is nowhere more important than in the Life Sciences, where interdisciplinary approaches are becoming increasingly powerful as a driver of both integration and discovery. Data access, data quality, identity, and provenance are all critical ingredients to facilitate and accelerate these collaborative enterprises and it is here where Semantic Web technologies promise to have a profound impact. This paper reviews the need for, and explores advantages of as well as challenges with these novel Internet information tools as illustrated with examples from the biomedical community.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.