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TCSBN: a database of tissue and cancer specific biological networks

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TCSBN : a database of tissue and cancer specific biological networks. / Lee, Sunjae; Zhang, Cheng; Arif, Muhammad; Liu, Zhengtao; Benfeitas, Rui; Bidkhori, Gholamreza; Deshmukh, Sumit; Al Shobky, Mohamed; Lovric, Alen; Boren, Jan; Nielsen, Jens; Uhlen, Mathias; Mardinoglu, Adil.

In: Nucleic Acids Research, Vol. 46, No. D1, 04.01.2018, p. D595-D600.

Research output: Contribution to journalArticle

Harvard

Lee, S, Zhang, C, Arif, M, Liu, Z, Benfeitas, R, Bidkhori, G, Deshmukh, S, Al Shobky, M, Lovric, A, Boren, J, Nielsen, J, Uhlen, M & Mardinoglu, A 2018, 'TCSBN: a database of tissue and cancer specific biological networks', Nucleic Acids Research, vol. 46, no. D1, pp. D595-D600. https://doi.org/10.1093/nar/gkx994

APA

Lee, S., Zhang, C., Arif, M., Liu, Z., Benfeitas, R., Bidkhori, G., ... Mardinoglu, A. (2018). TCSBN: a database of tissue and cancer specific biological networks. Nucleic Acids Research, 46(D1), D595-D600. https://doi.org/10.1093/nar/gkx994

Vancouver

Lee S, Zhang C, Arif M, Liu Z, Benfeitas R, Bidkhori G et al. TCSBN: a database of tissue and cancer specific biological networks. Nucleic Acids Research. 2018 Jan 4;46(D1):D595-D600. https://doi.org/10.1093/nar/gkx994

Author

Lee, Sunjae ; Zhang, Cheng ; Arif, Muhammad ; Liu, Zhengtao ; Benfeitas, Rui ; Bidkhori, Gholamreza ; Deshmukh, Sumit ; Al Shobky, Mohamed ; Lovric, Alen ; Boren, Jan ; Nielsen, Jens ; Uhlen, Mathias ; Mardinoglu, Adil. / TCSBN : a database of tissue and cancer specific biological networks. In: Nucleic Acids Research. 2018 ; Vol. 46, No. D1. pp. D595-D600.

Bibtex Download

@article{d5d0359c622940a6bafcfd5568e1b3ea,
title = "TCSBN: a database of tissue and cancer specific biological networks",
abstract = "Biological networks provide new opportunities for understanding the cellular biology in both health and disease states. We generated tissue specific integrated networks (INs) for liver, muscle and adipose tissues by integrating metabolic, regulatory and protein-protein interaction networks. We also generated human co-expression networks (CNs) for 46 normal tissues and 17 cancers to explore the functional relationships between genes as well as their relationships with biological functions, and investigate the overlap between functional and physical interactions provided by CNs and INs, respectively. These networks can be employed in the analysis of omics data, provide detailed insight into disease mechanisms by identifying the key biological components and eventually can be used in the development of efficient treatment strategies. Moreover, comparative analysis of the networks may allow for the identification of tissue-specific targets that can be used in the development of drugs with the minimum toxic effect to other human tissues. These context-specific INs and CNs are presented in an interactive website http://inetmodels.com without any limitation.",
author = "Sunjae Lee and Cheng Zhang and Muhammad Arif and Zhengtao Liu and Rui Benfeitas and Gholamreza Bidkhori and Sumit Deshmukh and {Al Shobky}, Mohamed and Alen Lovric and Jan Boren and Jens Nielsen and Mathias Uhlen and Adil Mardinoglu",
year = "2018",
month = "1",
day = "4",
doi = "10.1093/nar/gkx994",
language = "English",
volume = "46",
pages = "D595--D600",
journal = "Nucleic Acids Research",
issn = "0305-1048",
publisher = "Oxford Univerity Press; Oxford",
number = "D1",

}

RIS (suitable for import to EndNote) Download

TY - JOUR

T1 - TCSBN

T2 - a database of tissue and cancer specific biological networks

AU - Lee, Sunjae

AU - Zhang, Cheng

AU - Arif, Muhammad

AU - Liu, Zhengtao

AU - Benfeitas, Rui

AU - Bidkhori, Gholamreza

AU - Deshmukh, Sumit

AU - Al Shobky, Mohamed

AU - Lovric, Alen

AU - Boren, Jan

AU - Nielsen, Jens

AU - Uhlen, Mathias

AU - Mardinoglu, Adil

PY - 2018/1/4

Y1 - 2018/1/4

N2 - Biological networks provide new opportunities for understanding the cellular biology in both health and disease states. We generated tissue specific integrated networks (INs) for liver, muscle and adipose tissues by integrating metabolic, regulatory and protein-protein interaction networks. We also generated human co-expression networks (CNs) for 46 normal tissues and 17 cancers to explore the functional relationships between genes as well as their relationships with biological functions, and investigate the overlap between functional and physical interactions provided by CNs and INs, respectively. These networks can be employed in the analysis of omics data, provide detailed insight into disease mechanisms by identifying the key biological components and eventually can be used in the development of efficient treatment strategies. Moreover, comparative analysis of the networks may allow for the identification of tissue-specific targets that can be used in the development of drugs with the minimum toxic effect to other human tissues. These context-specific INs and CNs are presented in an interactive website http://inetmodels.com without any limitation.

AB - Biological networks provide new opportunities for understanding the cellular biology in both health and disease states. We generated tissue specific integrated networks (INs) for liver, muscle and adipose tissues by integrating metabolic, regulatory and protein-protein interaction networks. We also generated human co-expression networks (CNs) for 46 normal tissues and 17 cancers to explore the functional relationships between genes as well as their relationships with biological functions, and investigate the overlap between functional and physical interactions provided by CNs and INs, respectively. These networks can be employed in the analysis of omics data, provide detailed insight into disease mechanisms by identifying the key biological components and eventually can be used in the development of efficient treatment strategies. Moreover, comparative analysis of the networks may allow for the identification of tissue-specific targets that can be used in the development of drugs with the minimum toxic effect to other human tissues. These context-specific INs and CNs are presented in an interactive website http://inetmodels.com without any limitation.

U2 - 10.1093/nar/gkx994

DO - 10.1093/nar/gkx994

M3 - Article

VL - 46

SP - D595-D600

JO - Nucleic Acids Research

JF - Nucleic Acids Research

SN - 0305-1048

IS - D1

ER -

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