Evidence map›Paper›PMID 28431175›Full record

ArticleNucleic acids research2017

minepath.org: a free interactive pathway analysis web server.

Lefteris Koumakis, Panos Roussos, George Potamias

Abstract read
In one paragraph

Article in Nucleic acids research, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from 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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. Deep learning models in genomics; are we there yet?Computational and structural biotechnology journal · 2020
    Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Lefteris KoumakisInstitute of Computer Science, Foundation for Research & Technology - Hellas (FORTH), Heraklion, Crete 70013, Greece.
Panos RoussosDepartment of Psychiatry; Department of Genetics and Genomic Sciences and Institute for Multiscale Biology, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA; Mental Illness Research, Education, and Clinical Center (VISN 2 South), James J. Peters VA Medical Center, Bronx, NY, USA.
George PotamiasInstitute of Computer Science, Foundation for Research & Technology - Hellas (FORTH), Heraklion, Crete 70013, Greece.

Funding

Higher Order Chromatin and Genetic Risk for Alzheimer's DiseaseR01AG050986 · NIA · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI ROUSSOS, PANAGIOTIS · 2015 to 2025
$11.2M
Risk genetic variants and cis regulation of gene expression in Bipolar DisorderR01MH109677 · NIMH · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI ROUSSOS, PANAGIOTIS · 2016 to 2020
$4.6M
Dissecting Cis Regulation of Gene Expression in SchizophreniaI01BX002395 · VA · JAMES J PETERS VA MEDICAL CENTER · PI ROUSSOS, PANAGIOTIS · 2014 to 2022
–
BLRD VA I01 BX002395NIA NIH HHS R01 AG050986NIMH NIH HHS R01 MH109677
6 · The paper itself

Abstract

Minepath: ( www.minepath.org ) is a web-based platform that elaborates on, and radically extends the identification of differentially expressed sub-paths in molecular pathways. Besides the network topology, the underlying MinePath algorithmic processes exploit exact gene-gene molecular relationships (e.g. activation, inhibition) and are able to identify differentially expressed pathway parts. Each pathway is decomposed into all its constituent sub-paths, which in turn are matched with corresponding gene expression profiles. The highly ranked, and phenotype inclined sub-paths are kept. Apart from the pathway analysis algorithm, the fundamental innovation of the MinePath web-server concerns its advanced visualization and interactive capabilities. To our knowledge, this is the first pathway analysis server that introduces and offers visualization of the underlying and active pathway regulatory mechanisms instead of genes. Other features include live interaction, immediate visualization of functional sub-paths per phenotype and dynamic linked annotations for the engaged genes and molecular relations. The user can download not only the results but also the corresponding web viewer framework of the performed analysis. This feature provides the flexibility to immediately publish results without publishing source/expression data, and get all the functionality of a web based pathway analysis viewer.

Indexed as

Gene Expression RegulationGene Regulatory NetworksUser-Computer InterfaceAlgorithmsAlzheimer DiseaseChemokinesData MiningGene Expression ProfilingHumansInternetMetabolic Networks and PathwaysNerve Tissue ProteinsPhenotypePrefrontal CortexTemporal LobeChemokinesNerve Tissue Proteins

Identifiers

PMID28431175
PMCPMC5570234

What OpenQuestion holds

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Registered trials

None linked

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.