ArticleScientific reports2016
MathIOmica: An Integrative Platform for Dynamic Omics.
Article in Scientific reports, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 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.
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Who cites it
16 citing papers in PubMed.
- Cold and hot fibrosis define clinically distinct cardiac pathologies.Cell systems · 2025Article
- Time-resolved molecular measurements reveal changes in astronauts during spaceflight.Frontiers in physiology · 2023Article
- Metabolomics and modelling approaches for systems metabolic engineering.Metabolic engineering communications · 2022Review
- Temporal response characterization across individual multiomics profiles of prediabetic and diabetic subjects.Scientific reports · 2022Article
- Visibility graph based temporal community detection with applications in biological time series.Scientific reports · 2021Article
- Longitudinal saliva omics responses to immune perturbation: a case study.Scientific reports · 2021Article
- Cancer-associated fibroblast compositions change with breast cancer progression linking the ratio of S100A4Nature cancer · 2020Article
- PyIOmica: longitudinal omics analysis and trend identification.Bioinformatics (Oxford, England) · 2020Article
- The MathIOmica Toolbox: General Analysis Utilities for Dynamic Omics Datasets.Current protocols in bioinformatics · 2020Article
- Prospects and challenges of multi-omics data integration in toxicology.Archives of toxicology · 2020Review
- Multi-omics Data Integration, Interpretation, and Its Application.Bioinformatics and biology insights · 2020Review
- Review
- Gene expression microarray public dataset reanalysis in chronic obstructive pulmonary disease.PloS one · 2019Article
- Data-Driven Analysis of Age, Sex, and Tissue Effects on Gene Expression Variability in Alzheimer's Disease.Frontiers in neuroscience · 2019Article
- Microarray Gene Expression Dataset Re-analysis Reveals Variability in Influenza Infection and Vaccination.Frontiers in immunology · 2019Article
- MathIOmica-MSViewer: a dynamic viewer for mass spectrometry files for Mathematica.Journal of mass spectrometry : JMS · 2017Article
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
Multiple omics data are rapidly becoming available, necessitating the use of new methods to integrate different technologies and interpret the results arising from multimodal assaying. The MathIOmica package for Mathematica provides one of the first extensive introductions to the use of the Wolfram Language to tackle such problems in bioinformatics. The package particularly addresses the necessity to integrate multiple omics information arising from dynamic profiling in a personalized medicine approach. It provides multiple tools to facilitate bioinformatics analysis, including importing data, annotating datasets, tracking missing values, normalizing data, clustering and visualizing the classification of data, carrying out annotation and enumeration of ontology memberships and pathway analysis. We anticipate MathIOmica to not only help in the creation of new bioinformatics tools, but also in promoting interdisciplinary investigations, particularly from researchers in mathematical, physical science and engineering fields transitioning into genomics, bioinformatics and omics data integration.
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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.