Evidence map›Paper›PMID 25324964›Full record

ArticleF1000Research2014

GASOLINE: a Cytoscape app for multiple local alignment of PPI networks.

Giovanni Micale, Andrea Continella, Alfredo Ferro, Rosalba Giugno, Alfredo Pulvirenti

Abstract read
In one paragraph

Article in F1000Research, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

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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

8 citing papers in PubMed.

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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

5 authors.

Giovanni MicaleDepartment of Computer Science, University of Pisa, Pisa, 56127, Italy.
Andrea ContinellaDepartment of Electronics, Information and Bioengineering, Polytechnic University of Milan, Milan, 20133, Italy.
Alfredo FerroDepartment of Clinical and Molecular Biomedicine, University of Catania, Catania, 95125, Italy.
Rosalba GiugnoDepartment of Clinical and Molecular Biomedicine, University of Catania, Catania, 95125, Italy.
Alfredo PulvirentiDepartment of Clinical and Molecular Biomedicine, University of Catania, Catania, 95125, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Comparing protein interaction networks can reveal interesting patterns of interactions for a specific function or process in distantly related species. In this paper we present GASOLINE, a Cytoscape app for multiple local alignments of PPI (protein-protein interaction) networks. The app is based on the homonymous greedy and stochastic algorithm. GASOLINE starts with the identification of sets of similar nodes, called seeds of the alignment. Alignments are then extended in a greedy manner and finally refined. Both the identification of seeds and the extension of alignments are performed through an iterative Gibbs sampling strategy. GASOLINE is a Cytoscape app for computing and visualizing local alignments, without requiring any post-processing operations. GO terms can be easily attached to the aligned proteins for further functional analysis of alignments. GASOLINE can perform the alignment task in few minutes, even for a large number of input networks.

Identifiers

PMID25324964
PMCPMC4197741

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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.