Cargando…
Genes2WordCloud: a quick way to identify biological themes from gene lists and free text
BACKGROUND: Word-clouds recently emerged on the web as a solution for quickly summarizing text by maximizing the display of most relevant terms about a specific topic in the minimum amount of space. As biologists are faced with the daunting amount of new research data commonly presented in textual f...
Autores principales: | Baroukh, Caroline, Jenkins, Sherry L, Dannenfelser, Ruth, Ma'ayan, Avi |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2011
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3213042/ https://www.ncbi.nlm.nih.gov/pubmed/21995939 http://dx.doi.org/10.1186/1751-0473-6-15 |
Ejemplares similares
-
Genes2FANs: connecting genes through functional association networks
por: Dannenfelser, Ruth, et al.
Publicado: (2012) -
Lists2Networks: Integrated analysis of gene/protein lists
por: Lachmann, Alexander, et al.
Publicado: (2010) -
Genes2Networks: connecting lists of gene symbols using mammalian protein interactions databases
por: Berger, Seth I, et al.
Publicado: (2007) -
WordCloud: a Cytoscape plugin to create a visual semantic summary of networks
por: Oesper, Layla, et al.
Publicado: (2011) -
Identifying biological themes within lists of genes with EASE
por: Hosack, Douglas A, et al.
Publicado: (2003)