ArticleBioinformatics (Oxford, England)2017
Pathway Inspector: a pathway based web application for RNAseq analysis of model and non-model organisms.
Article in Bioinformatics (Oxford, England), 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 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.
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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
4 citing papers in PubMed.
- KNeXT: a NetworkX-based topologically relevant KEGG parser.Frontiers in genetics · 2024Article
- Applications of Multi-omics Approaches for Exploring the Molecular Mechanism of Ovarian Carcinogenesis.Frontiers in oncology · 2021Review
- BRCA-Pathway: a structural integration and visualization system of TCGA breast cancer data on KEGG pathways.BMC bioinformatics · 2018Article
- Transcriptome and Cell Physiological Analyses in Different Rice Cultivars Provide New Insights Into Adaptive and Salinity Stress Responses.Frontiers in plant science · 2018Article
Corrections and comments
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Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
summaryPathway Inspector is an easy-to-use web application helping researchers to find patterns of expression in complex RNAseq experiments. The tool combines two standard approaches for RNAseq analysis: the identification of differentially expressed genes and a topology-based analysis of enriched pathways. Pathway Inspector is equipped with ad hoc interactive graphical interfaces simplifying the discovery of modulated pathways and the integration of the differentially expressed genes in the corresponding pathway topology. AVAILABILITY AND IMPLEMENTATION: Pathway Inspector is available at the website http://admiral.fmach.it/PI and has been developed in Python, making use of the Django Web Framework. CONTACT: Contact:paolo.fontana@fmach.it
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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.