title: Automatic correspondence of tags and genes (ACTG): a tool for the analysis of SAGE, MPSS and SBS data.
abstract: A critical step in any SAGE, MPSS and SBS data analysis is tag-to-gene assignment. Current available tools are limited by a tag-by-tag annotation process and/or do not provide the dataset that is used to produce a complete tag-to-gene mapping. We developed ACTG, a web-based application that allows a large-scale tag-to-gene mapping using several reference datasets. ACTG can annotate SAGE (14 or 21 bp), MPSS (17 or 20 bp) and SBS (16 bp) data for both human and mouse organisms.
  
  
  BACKGROUND
  http://retina.med.harvard.edu/ACTG/.
  
  
  BACKGROUND
  Supplementary data are available at Bioinformatics online.
authors.affiliation: Departamento de Bioquímica, Instituto de Química, Universidade de São Paulo, São Paulo, Brazil. pgalante@ludwig.org.br
authors.forename: Pedro A F
authors.initials: PA
authors.lastname: Galante
authors.forename: Jeff
authors.initials: J
authors.lastname: Trimarchi
authors.forename: Constance L
authors.initials: CL
authors.lastname: Cepko
authors.forename: Sandro J
authors.initials: SJ
authors.lastname: de Souza
authors.forename: Lucila
authors.initials: L
authors.lastname: Ohno-Machado
authors.forename: Winston P
authors.initials: WP
authors.lastname: Kuo
mesh_terms: D002874:Chromosome Mapping / Q000379:methods*; D020224:Expressed Sequence Tags; D020869:Gene Expression Profiling / Q000379:methods*; D005796:Genes / Q000235:genetics*; D012984:Software; D013223:Statistics as Topic; D014584:User-Computer Interface