Automatic correspondence of tags and genes (ACTG): a tool for the analysis of SAGE, MPSS and SBS data | Zendy

Pedro A. F. Galante | Zendy; Jeffrey M. Trimarchi | Zendy; Constance L. Cepko | Zendy; Sandro J. de Souza | Zendy; Lucila OhnoMachado | Zendy; Winston Patrick Kuo | Zendy

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Automatic correspondence of tags and genes (ACTG): a tool for the analysis of SAGE, MPSS and SBS data

Author(s) -

Pedro A. F. Galante,

Jeffrey M. Trimarchi,

Constance L. Cepko,

Sandro J. de Souza,

Lucila OhnoMachado,

Winston Patrick Kuo

Publication year - 2007

Publication title -

bioinformatics

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 3.599

H-Index - 390

eISSN - 1367-4811

pISSN - 1367-4803

DOI - 10.1093/bioinformatics/btm023

Subject(s) - annotation , computer science , sage , computational biology , artificial intelligence , biology , physics , nuclear physics

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.

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