SCEPTRANS: An online tool for analyzing periodic transcription in yeast

Andrzej Kudlicki; Maga Rowicka; Zbyszek Otwinowski

doi:10.1093/bioinformatics/btm126

SCEPTRANS: An online tool for analyzing periodic transcription in yeast

Andrzej Kudlicki, Maga Rowicka, Zbyszek Otwinowski

Research output: Contribution to journal › Article › peer-review

27 Scopus citations

Abstract

Summary: SCEPTRANS is designed for analysis of microarray timecourse data related to periodic phenomena in the budding yeast. The server allows for easy viewing of temporal profiles of multiple genes in a number of datasets. Additional functionality includes searching for coexpressed genes, periodicity and correlation analysis, integrating functional annotation and localization data as well as advanced operations on sets of genes.

Original language	English (US)
Pages (from-to)	1559-1561
Number of pages	3
Journal	Bioinformatics
Volume	23
Issue number	12
DOIs	https://doi.org/10.1093/bioinformatics/btm126
State	Published - Jun 15 2007

ASJC Scopus subject areas

Statistics and Probability
Biochemistry
Molecular Biology
Computer Science Applications
Computational Theory and Mathematics
Computational Mathematics

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10.1093/bioinformatics/btm126

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title = "SCEPTRANS: An online tool for analyzing periodic transcription in yeast",

abstract = "Summary: SCEPTRANS is designed for analysis of microarray timecourse data related to periodic phenomena in the budding yeast. The server allows for easy viewing of temporal profiles of multiple genes in a number of datasets. Additional functionality includes searching for coexpressed genes, periodicity and correlation analysis, integrating functional annotation and localization data as well as advanced operations on sets of genes.",

author = "Andrzej Kudlicki and Maga Rowicka and Zbyszek Otwinowski",

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SCEPTRANS: An online tool for analyzing periodic transcription in yeast

Abstract

ASJC Scopus subject areas

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