Evidence map›Paper›PMID 36700096›Full record

ArticleBioinformatics advances2021

PathBIX-a web server for network-based pathway annotation with adaptive null models.

Miguel Castresana-Aguirre, Emma Persson, Erik L L Sonnhammer

Abstract read
In one paragraph

Article in Bioinformatics advances, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
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.

Miguel Castresana-AguirreDepartment of Biochemistry and Biophysics, Science for Life Laboratory, Stockholm University, Stockholm 17121, Sweden.
Emma PerssonDepartment of Biochemistry and Biophysics, Science for Life Laboratory, Stockholm University, Stockholm 17121, Sweden.ORCID https://orcid.org/0000-0003-0532-8251
Erik L L SonnhammerDepartment of Biochemistry and Biophysics, Science for Life Laboratory, Stockholm University, Stockholm 17121, Sweden.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Motivation: Pathway annotation is a vital tool for interpreting and giving meaning to experimental data in life sciences. Numerous tools exist for this task, where the most recent generation of pathway enrichment analysis tools, network-based methods, utilize biological networks to gain a richer source of information as a basis of the analysis than merely the gene content. Network-based methods use the network crosstalk between the query gene set and the genes in known pathways, and compare this to a null model of random expectation. Results: We developed PathBIX, a novel web application for network-based pathway analysis, based on the recently published ANUBIX algorithm which has been shown to be more accurate than previous network-based methods. The PathBIX website performs pathway annotation for 21 species, and utilizes prefetched and preprocessed network data from FunCoup 5.0 networks and pathway data from three databases: KEGG, Reactome, and WikiPathways. Availability: https://pathbix.sbc.su.se/. Contact: erik.sonnhammer@scilifelab.se. Supplementary information: Supplementary data are available at

Identifiers

PMID36700096
PMCPMC9710673

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.