ArticlePeerJ2021
Development of a bioinformatics platform for analysis of quantitative transcriptomics and proteomics data: the OMnalysis.
Article in PeerJ, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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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.
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Who cites it
6 citing papers in PubMed.
- From functional annotation to functional meaning in microbiome research.Environmental microbiome · 2026Review
- A scoping review of approaches to evaluating workflow management systems for bioinformatics users.Briefings in bioinformatics · 2026Article
- Bi-allelic variants in OLA1 cause a neurodevelopmental disorder with joint hypermobility.American journal of human genetics · 2026Article
- Short-Term Probiotic Colonization Alters Molecular Dynamics of 3D Oral Biofilms.International journal of molecular sciences · 2025Article
- Proteomic Characterization of Acute Myeloid Leukemia for Precision Medicine.Molecular & cellular proteomics : MCP · 2023Review
- Article
Corrections and comments
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Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundIn the past decade, RNA sequencing and mass spectrometry based quantitative approaches are being used commonly to identify the differentially expressed biomarkers in different biological conditions. Data generated from these approaches come in different sizes ( IMPLEMENTATION: We developed an easy-to-use Shiny based web application (named as OMnalysis) that provides users with a single platform to analyze and visualize the differentially expressed data. The OMnalysis accepts the data in tabular form from edgeR, DESeq2, MaxQuant Perseus, R packages, and other similar software, which typically contains the list of differentially expressed genes or proteins, log of the fold change, log of the count per million, the AVAILABILITY: The OMnalysis codes are entirely written in R language and freely available at https://github.com/Punit201016/OMnalysis. OMnalysis can also be accessed from - http://lbmi.uvlf.sk/omnalysis.html. OMnalysis is hosted on a Shiny server at https://omnalysis.shinyapps.io/OMnalysis/. The minimum system requirements are: 4 gigabytes of RAM, i3 processor (or equivalent). It is compatible with any operating system (windows, Linux or Mac). The OMnalysis is heavily tested on Chrome web browsers; thus, Chrome is the preferred browser. OMnalysis works on Firefox and Safari.
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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.