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Citations per year

Number of citations per year for the bioinformatics software tool NetworkBLAST

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This map represents all the scientific publications referring to NetworkBLAST per scientific context
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NetworkBLAST specifications


Unique identifier OMICS_04885
Name NetworkBLAST
Interface Web user interface
Restrictions to use None
Computer skills Basic
Stability Stable
Maintained Yes

Publication for NetworkBLAST

NetworkBLAST citations


Review on Graph Clustering and Subgraph Similarity Based Analysis of Neurological Disorders

Int J Mol Sci
PMCID: 4926396
PMID: 27258269
DOI: 10.3390/ijms17060862

[…] p [], NetworkBlast [] and SAGA []. GraphGrep is a hash indexing-based method for subgraph matching, which allows efficient filtering by selecting the most relevant subgraphs from the relevant graphs. NetworkBlast has a graph similarity model that is designed for comparing and analyzing multiple protein networks. The log likelihood ratio scoring method was used to evaluate the subnetwork fit to the […]


GreedyPlus: An Algorithm for the Alignment of Interface Interaction Networks

Sci Rep
PMCID: 4499810
PMID: 26165520
DOI: 10.1038/srep12074

[…] sequence-similar proteins; these clusters in the network, then, are considered putatively orthologous functional units.PathBLAST, one of the first published PPIN alignment methods, and its successor NetworkBlast, are examples of local network alignment algorithms. Both methods begin by identifying all pairs of proteins between the two input networks with significant sequence similarity (using BLA […]


Detecting conserved protein complexes using a dividing and matching algorithm and unequally lenient criteria for network comparison

PMCID: 4487215
PMID: 26136815
DOI: 10.1186/s13015-015-0053-5

[…] corresponding network. The comparisons made by previous studies show that AlignNemo, AlignMCL [] and DAMAlign succeed in detecting more conserved complexes than previous methods [, ], such as Mawish, NetworkBlast,PHUNKEE and Produles. The reason may be considering indirectly connected node pairs in one network is robust against missing interactions in original network. Although NetAligner employs […]


The post genomic era of biological network alignment

EURASIP J Bioinform Syst Biol
PMCID: 5270500
PMID: 28194172
DOI: 10.1186/s13637-015-0022-9

[…] he degree of protein sequence similarity and the interaction quality. In the process, gaps and mismatches are allowed to account for evolution variations and experimental errors in pathway structure. NetworkBLAST [] is an extension of PathBLAST that aims to identify not just simple linear pathways (as PathBLAST does) but also more complex network structures, e.g., dense functional modules or prote […]


Reverse enGENEering of Regulatory Networks from Big Data: A Roadmap for Biologists

Bioinform Biol Insights
PMCID: 4415676
PMID: 25983554
DOI: 10.4137/BBI.S12467

[…] ions in the orthologous subgraph to bring to bear on the functional interpretation of the novel network’s subgraph. Various local and global network alignment algorithms have been proposed, including NetworkBLAST, PINALOG, IsoRankN, and the Narayanan–Karp and Hodgkinson–Karp algorithms. […]


Techniques for transferring host pathogen protein interactions knowledge to new tasks

Front Microbiol
PMCID: 4313693
PMID: 25699028
DOI: 10.3389/fmicb.2015.00036

[…] These predicted PPIs form the “bootstrap” PPIs and will be used in a graph-based transfer approach. In this graph-based transfer method, we first align the PPI graphs of the two host organisms using NetworkBlast (Sharan et al., ). The human PPI network was obtained from the HPRD database (Prasad et al., ) and the plant-plant PPIs from TAIR database (Lamesch et al., ). The algorithm aligns the hum […]

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NetworkBLAST institution(s)
School of Computer Science, Tel Aviv University, Tel Aviv, Israel

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