ArticleNucleic acids research2014
BioMet Toolbox 2.0: genome-wide analysis of metabolism and omics data.
Article in Nucleic acids research, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 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
12 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Pooled it
- Constraint-Based Metabolic Modeling Approach for Microbial Communities.Methods in molecular biology (Clifton, N.J.) · 2026Article
- Integrated systems biology analysis of acute lymphoblastic leukemia: unveiling molecular signatures and drug repurposing opportunities.Annals of hematology · 2024Article
- Systems Biology: New Insight into Antibiotic Resistance.Microorganisms · 2022Review
- Evaluating accessibility, usability and interoperability of genome-scale metabolic models for diverse yeasts species.FEMS yeast research · 2021Article
- Genome-wide analysis of the NF-Y gene family in peach (Prunus persica L.).BMC genomics · 2019Article
- Understanding metabolism with flux analysis: From theory to application.Metabolic engineering · 2017Review
- Type 2 diabetes and obesity induce similar transcriptional reprogramming in human myocytes.Genome medicine · 2017Article
- Review
- Bioinformatics Methods and Tools to Advance Clinical Care. Findings from the Yearbook 2015 Section on Bioinformatics and Translational Informatics.Yearbook of medical informatics · 2015Review
- Insights from 20 years of bacterial genome sequencing.Functional & integrative genomics · 2015Review
- Kiwi: a tool for integration and visualization of network topology and gene-set analysis.BMC bioinformatics · 2014Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
Abstract
Analysis of large data sets using computational and mathematical tools have become a central part of biological sciences. Large amounts of data are being generated each year from different biological research fields leading to a constant development of software and algorithms aimed to deal with the increasing creation of information. The BioMet Toolbox 2.0 integrates a number of functionalities in a user-friendly environment enabling the user to work with biological data in a web interface. The unique and distinguishing feature of the BioMet Toolbox 2.0 is to provide a web user interface to tools for metabolic pathways and omics analysis developed under different platform-dependent environments enabling easy access to these computational tools.
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.