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Citations per year

Number of citations per year for the bioinformatics software tool CUFID

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CUFID specifications


Unique identifier OMICS_20156
Alternative name Comparative network analysis Using the steady-state network Flow to IDentify orthologous proteins
Software type Application/Script
Interface Command line interface
Restrictions to use None
Operating system Unix/Linux
Computer skills Advanced
Stability Stable
Maintained Yes


  • CUFID-align
  • CUFID-query




No version available


  • person_outline Byung-Jun Yoon

Publications for Comparative network analysis Using the steady-state network Flow to IDentify orthologous proteins

CUFID citation


CUFID query: accurate network querying through random walk based network flow estimation

BMC Bioinformatics
PMCID: 5751815
PMID: 29297279
DOI: 10.1186/s12859-017-1899-y
call_split See protocol

[…] nodes.To overcome these challenges, we propose a heuristic network querying algorithm based on the CUFID framework and a seed-and-extension approach. In the proposed network querying algorithm called CUFID-query, we first compute the node-to-node correspondence scores through the CUFID framework. The CUFID framework can effectively deal with the complexity problem as it can estimate the node corre […]

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CUFID institution(s)
Department of Electrical and Computer Engineering, Texas A&M University, College Station, TX, USA; Department of Neurology, Baylor College of Medicine, Houston, TX, USA; Jan and Dan Duncan Neurological Research Institute, Texas Children’s Hospital, Houston, TX, USA; TEES-AgriLife Center for Bioinformatics and Genomic Systems Engineering (CBGSE), College Station, TX, USA
CUFID funding source(s)
Supported in part by the National Science Foundation through the NSF Award CCF-1149544 and NSF Award CCF-1447235.

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