Evidence map›Paper›PMID 25725062›Full record

ArticleDatabase : the journal of biological databases and curation2015

PathCards: multi-source consolidation of human biological pathways.

Frida Belinky, Noam Nativ, Gil Stelzer, Shahar Zimmerman, Tsippi Iny Stein, Marilyn Safran, Doron Lancet

Abstract readDataset
In one paragraph

Article in Database : the journal of biological databases and curation, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 186 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
186citing papers in PubMed, 3 pooled it
–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

186 citing papers in PubMed, 3 syntheses or guidelines pooled it.

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126 more citing papers are in PubMed but not listed here.

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

7 authors.

Frida BelinkyDepartment of Molecular Genetics, Weizmann Institute of Science, Rehovot 7610001, Israel Frida.Belinky@weizmann.ac.il.
Noam NativDepartment of Molecular Genetics, Weizmann Institute of Science, Rehovot 7610001, Israel.
Gil StelzerDepartment of Molecular Genetics, Weizmann Institute of Science, Rehovot 7610001, Israel.
Shahar ZimmermanDepartment of Molecular Genetics, Weizmann Institute of Science, Rehovot 7610001, Israel.
Tsippi Iny SteinDepartment of Molecular Genetics, Weizmann Institute of Science, Rehovot 7610001, Israel.
Marilyn SafranDepartment of Molecular Genetics, Weizmann Institute of Science, Rehovot 7610001, Israel.
Doron LancetDepartment of Molecular Genetics, Weizmann Institute of Science, Rehovot 7610001, Israel.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The study of biological pathways is key to a large number of systems analyses. However, many relevant tools consider a limited number of pathway sources, missing out on many genes and gene-to-gene connections. Simply pooling several pathways sources would result in redundancy and the lack of systematic pathway interrelations. To address this, we exercised a combination of hierarchical clustering and nearest neighbor graph representation, with judiciously selected cutoff values, thereby consolidating 3215 human pathways from 12 sources into a set of 1073 SuperPaths. Our unification algorithm finds a balance between reducing redundancy and optimizing the level of pathway-related informativeness for individual genes. We show a substantial enhancement of the SuperPaths' capacity to infer gene-to-gene relationships when compared with individual pathway sources, separately or taken together. Further, we demonstrate that the chosen 12 sources entail nearly exhaustive gene coverage. The computed SuperPaths are presented in a new online database, PathCards, showing each SuperPath, its constituent network of pathways, and its contained genes. This provides researchers with a rich, searchable systems analysis resource. Database URL: http://pathcards.genecards.org/

Indexed as

Databases, GeneticBiosynthetic PathwaysEpistasis, GeneticGene Regulatory NetworksHumans

Identifiers

PMID25725062
PMCPMC4343183

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.