ArticleBioinformation2008
The next meta-challenge for Bioinformatics.
Article in Bioinformation, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 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
6 citing papers in PubMed.
- Clustering ofFrontiers in public health · 2019Article
- Biosurveillance enterprise for operational awareness, a genomic-based approach for tracking pathogen virulence.Virulence · 2013Review
- Biodefense Oriented Genomic-Based Pathogen Classification Systems: Challenges and Opportunities.Journal of bioterrorism & biodefense · 2012Article
- Reanalyze unassigned reads in Sanger based metagenomic data using conserved gene adjacency.BMC bioinformatics · 2010Article
- Signal processing for metagenomics: extracting information from the soup.Current genomics · 2009Article
- ORION-VIRCAT: a tool for mapping ICTV and NCBI taxonomies.Database : the journal of biological databases and curation · 2009Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
1 author.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The direct sequencing of uncultivable organisms present in complex biological and environmental samples has opportunities to discover new life forms and metabolic processes. This transformational field, known as metagenomics, is generating massive amounts of molecular information that can overwhelm the performance of conventional analysis and visualization algorithms. Here, I briefly highlight some of the emerging challenges this new discipline presents to the computational biology community and point some of the opportunities to develop applications that can translate metagenomic information into biomedical, agricultural, environmental, and industrial applications.
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.