NetPath statistics

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Citations per year

Number of citations per year for the bioinformatics software tool NetPath
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Tool usage distribution map

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Associated diseases

This word cloud represents NetPath usage per disease context
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Protocols

NetPath specifications

Information


Unique identifier OMICS_14109
Name NetPath
Restrictions to use None
Data access File download, Application programming interface
Maintained Yes

Maintainer


  • person_outline Akhilesh Pandey

Publication for NetPath

NetPath institution(s)
Institute of Bioinformatics, International Tech Park, Bangalore, India; McKusick-Nathans Institute of Genetic Medicine and the Department of Biological Chemistry, Johns Hopkins University, Baltimore, MD, USA; Research Unit for Immunoinformatics, RIKEN Research Center for Allergy and Immunology, RIKEN Yokohama Institute, Kanagawa, Japan; Department of Biotechnology and Bioinformatics, Kuvempu University, Jnanasahyadri, Shimoga, India; Laboratory of Molecular Immunology, National Heart, Lung, and Blood Institute, NIH, Bethesda, MD, USA; Department of Microbiology, Carver College of Medicine, University of Iowa, Iowa City, IA, USA; Department of Molecular Biology and Genetics, Institute for Cell Engineering, Johns Hopkins University School of Medicine, Baltimore, MD, USA; The Ludwig Institute for Cancer Research, Brussels Branch, and the Experimental Medicine Unit, Christian de Duve Institute of Cellular Pathology, Universite Catholique de Louvain, Brussels, Belgium; Laboratory for Immunogenomics, RIKEN Research Center for Allergy and Immunology, RIKEN Yokohama Institute, Kanagawa, Japan; Department of Human Genome Technology, Kazusa DNA Research Institute, Kazusa-Kamatari, Kisarazu, Chiba, Japan; Laboratory for Cytokine Signaling, RIKEN Research Center for Allergy and Immunology, Yokohama, Kanagawa, Japan; Laboratories of Developmental Immunology, Graduate School of Frontier Biosciences and Graduate School of Medicine, Osaka University, Osaka, Japan; Research Institute for Biological Sciences, Tokyo University of Science, Yamazaki, Noda City, Chiba, Japan; Signal/Network Team, RIKEN Research Center for Allergy and Immunology, RIKEN Yokohama Institute, Suehiro-cho, Tsurumi, Yokohama, Kanagawa, Japan; IMGENEX India Pvt. Ltd., Bhubaneswar, Orissa, India; Department of Computer Science, Wayne State University, Detroit, MI, USA; Karmanos Cancer Institute, Wayne State University, Detroit, MI, USA; Banting and Best Department of Medical Research, Terrence Donnelly Centre for Cellular and Biomolecular Research, University of Toronto, Toronto, ON, Canada; Computational Biology Center, Memorial Sloan-Kettering Cancer Center, New York, NY, USA; Department of Oncology, Johns Hopkins University, Baltimore, MD, USA
NetPath funding source(s)
This work was supported by the Johns Hopkins Breast Cancer SPORE (grant n°CA 88843) Career Development Award, the Department of Defense Era of Hope Scholar (grant n°W81XWH-06-1-0428) and the National Institutes of Health (grant n°U54 RR020839).

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