ReviewTrends in biotechnology2011
Mining high-throughput experimental data to link gene and function.
Review in Trends in biotechnology, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.
What it found
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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
23 citing papers in PubMed.
- The Substrate Versatility of ΔMolecules (Basel, Switzerland) · 2026Article
- An overview of recent technological developments in bovine genomics.Veterinary and animal science · 2024Review
- Identification and preliminary characterization of conserved uncharacterized proteins fromPlant direct · 2023Article
- A roadmap for the functional annotation of protein families: a community perspective.Database : the journal of biological databases and curation · 2022Article
- Exploring the Glucose Fluxotype of theMetabolites · 2021Article
- gapseq: informed prediction of bacterial metabolic pathways and reconstruction of accurate metabolic models.Genome biology · 2021Article
- Reducing Ensembles of Protein Tertiary Structures Generated De Novo via Clustering.Molecules (Basel, Switzerland) · 2020Article
- Review
- Unsupervised and Supervised Learning over theEnergy Landscape for Protein Decoy Selection.Biomolecules · 2019Article
- Balancing multiple objectives in conformation sampling to control decoy diversity in template-free protein structure prediction.BMC bioinformatics · 2019Article
- Characterization of l-Carnitine Metabolism in Sinorhizobium meliloti.Journal of bacteriology · 2019Article
- From Extraction of Local Structures of Protein Energy Landscapes to Improved Decoy Selection in Template-Free Protein Structure Prediction.Molecules (Basel, Switzerland) · 2018Article
- Integrating sequence and gene expression information predicts genome-wide DNA-binding proteins and suggests a cooperative mechanism.Nucleic acids research · 2018Article
- Confronting the catalytic dark matter encoded by sequenced genomes.Nucleic acids research · 2017Article
- Bacterial protein meta-interactomes predict cross-species interactions and protein function.BMC bioinformatics · 2017Article
- Nontargeted in vitro metabolomics for high-throughput identification of novel enzymes in Escherichia coli.Nature methods · 2017Article
- A Computational Solution to Automatically Map Metabolite Libraries in the Context of Genome Scale Metabolic Networks.Frontiers in molecular biosciences · 2016Article
- Functional Diversity of Haloacid Dehalogenase Superfamily Phosphatases from Saccharomyces cerevisiae: BIOCHEMICAL, STRUCTURAL, AND EVOLUTIONARY INSIGHTS.The Journal of biological chemistry · 2015Article
- Improved cultivation and metagenomics as new tools for bioprospecting in cold environments.Extremophiles : life under extreme conditions · 2015Review
- Linking genome-scale metabolic modeling and genome annotation.Methods in molecular biology (Clifton, N.J.) · 2013Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
Abstract
Nearly 2200 genomes that encode around 6 million proteins have now been sequenced. Around 40% of these proteins are of unknown function, even when function is loosely and minimally defined as 'belonging to a superfamily'. In addition to in silico methods, the swelling stream of high-throughput experimental data can give valuable clues for linking these unknowns with precise biological roles. The goal is to develop integrative data-mining platforms that allow the scientific community at large to access and utilize this rich source of experimental knowledge. To this end, we review recent advances in generating whole-genome experimental datasets, where this data can be accessed, and how it can be used to drive prediction of gene function.
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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.