ReviewChemistry & biodiversity2010
Data integration for dynamic and sustainable systems biology resources: challenges and lessons learned.
Review in Chemistry & biodiversity, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.
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
10 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Graph databases in systems biology: a systematic review.Briefings in bioinformatics · 2024Pooled it
- Toward a Common Set of Interface Requirements for Genomic Data Management: Scoping Review.Journal of medical Internet research · 2026Article
- Collaborative mining and interpretation of large-scale data for biomedical research insights.PloS one · 2014Article
- AmalgamScope: merging annotations data across the human genome.BioMed research international · 2014Article
- Dynamic integration of biological data sources using the data concierge.Health information science and systems · 2013Article
- Informatics-Driven Infectious Disease Research.Biomedical engineering systems and technologies, international joint conference, BIOSTEC ... revised selected papers. BIOSTEC (Conference) · 2013Article
- Mathematical and statistical modeling in cancer systems biology.Frontiers in physiology · 2012Article
- PATRIC: the comprehensive bacterial bioinformatics resource with a focus on human pathogenic species.Infection and immunity · 2011Review
- Genome studies at the PAG 2011 conference.Functional & integrative genomics · 2011Review
- Systems biology approaches to understanding mycobacterial survival mechanisms.Drug discovery today. Disease mechanisms · 2010Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
Abstract
Systems-biology and infectious-disease (host-pathogen-environment) research and development is becoming increasingly dependent on integrating data from diverse and dynamic sources. Maintaining integrated resources over long periods of time presents distinct challenges. This review describes experiences and lessons learned from integrating data in two five-year projects focused on pathosystems biology: the Pathosystems Resource Integration Center (PATRIC, http://patric.vbi.vt.edu/), with a goal of developing bioinformatics resources for the research and countermeasures-development communities based on genomics data, and the Resource Center for Biodefense Proteomics Research (RCBPR, http://www.proteomicsresource.org/), with a goal of developing resources based on the experiment data such as microarray and proteomics data from diverse sources and technologies. Some challenges include integrating genomic sequence and experiment data, data synchronization, data quality control, and usability engineering. We present examples of a variety of data-integration problems drawn from our experiences with PATRIC and RBPRC, as well as open research questions related to long-term sustainability, and describe the next steps to meeting these challenges. Novel contributions of this work include 1) an approach for addressing discrepancies between experiment results and interpreted results, and 2) expanding the range of data-integration techniques to include usability engineering at the presentation level.
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.