Title |
NetPath: a public resource of curated signal transduction pathways
|
---|---|
Published in |
Genome Biology, January 2010
|
DOI | 10.1186/gb-2010-11-1-r3 |
Pubmed ID | |
Authors |
Kumaran Kandasamy, S Sujatha Mohan, Rajesh Raju, Shivakumar Keerthikumar, Ghantasala S Sameer Kumar, Abhilash K Venugopal, Deepthi Telikicherla, J Daniel Navarro, Suresh Mathivanan, Christian Pecquet, Sashi Kanth Gollapudi, Sudhir Gopal Tattikota, Shyam Mohan, Hariprasad Padhukasahasram, Yashwanth Subbannayya, Renu Goel, Harrys KC Jacob, Jun Zhong, Raja Sekhar, Vishalakshi Nanjappa, Lavanya Balakrishnan, Roopashree Subbaiah, YL Ramachandra, B Abdul Rahiman, TS Keshava Prasad, Jian-Xin Lin, Jon CD Houtman, Stephen Desiderio, Jean-Christophe Renauld, Stefan N Constantinescu, Osamu Ohara, Toshio Hirano, Masato Kubo, Sujay Singh, Purvesh Khatri, Sorin Draghici, Gary D Bader, Chris Sander, Warren J Leonard, Akhilesh Pandey |
Abstract |
We have developed NetPath as a resource of curated human signaling pathways. As an initial step, NetPath provides detailed maps of a number of immune signaling pathways, which include approximately 1,600 reactions annotated from the literature and more than 2,800 instances of transcriptionally regulated genes - all linked to over 5,500 published articles. We anticipate NetPath to become a consolidated resource for human signaling pathways that should enable systems biology approaches. |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 9 | 3% |
Canada | 4 | 1% |
Netherlands | 2 | <1% |
United Kingdom | 2 | <1% |
Brazil | 2 | <1% |
Korea, Republic of | 1 | <1% |
Australia | 1 | <1% |
Portugal | 1 | <1% |
Belgium | 1 | <1% |
Other | 3 | 1% |
Unknown | 265 | 91% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 68 | 23% |
Researcher | 67 | 23% |
Student > Master | 31 | 11% |
Student > Bachelor | 22 | 8% |
Other | 14 | 5% |
Other | 49 | 17% |
Unknown | 40 | 14% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 101 | 35% |
Biochemistry, Genetics and Molecular Biology | 52 | 18% |
Computer Science | 25 | 9% |
Medicine and Dentistry | 20 | 7% |
Immunology and Microbiology | 9 | 3% |
Other | 29 | 10% |
Unknown | 55 | 19% |