Genes2WordCloud: A quick way to identify biological themes from gene lists and free text

Source Code for Biology and Medicine

Volumn 6, Issue , 2011, Pages

  Baroukh, Caroline ^a   Jenkins, Sherry ^a   Dannenfelser, Ruth ^a   Ma'ayan, Avi ^a  

^a MOUNT SINAI SCHOOL OF MEDICINE   (United States)

Author keywords

Gene list analysis; Tag cloud; Text mining; Word cloud

Indexed keywords

EID: 80053911123     PISSN: None     EISSN: 17510473     Source Type: Journal    
DOI: 10.1186/1751-0473-6-15     Document Type: Review

References (6)

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2. Desai J, Flatow JM, Song J, Zhu LJ, Du P, Huang C-C, Lu H, Lin SM, Kibbe WA. Visual Presentation as a Welcome Alternative to Textual Presentation of Gene Annotation Information. Advances in Experimental Medicine and Biology 2011, 680(7):709-715.
3. Oesper L, Merico D, Isserlin R, Bader G. WordCloud: a Cytoscape plugin to create a visual semantic summary of networks. Source Code for Biology and Medicine 2011, 6(1):7. 10.1186/1751-0473-6-7, 3083346, 21473782.
4. Sarkar IN, Schenk R, Miller H, Norton CN. LigerCat: Using "MeSH Clouds" from Journal, Article, or Gene Citations to Facilitate the Identification of Relevant Biomedical Literature. AMIA Annu Symp Proc 2009, 2009:563-567. 2815376, 20351918.
5. Consortium GO. The Gene Ontology in 2010: extensions and refinements. Nucleic Acids Res 2010, (38 Database):D331-335.
6. Smith CL, Eppig JT. The mammalian phenotype ontology: enabling robust annotation and comparative analysis. Wiley Interdiscip Rev Syst Biol Med 2009, 1(3):390-399. 10.1002/wsbm.44, 2801442, 20052305.