SigWin-detector: a Grid-enabled workflow for discovering enriched windows of genomic features related to DNA sequences

doi:10.1186/1756-0500-1-63

BMC Research Notes
Volume 1

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Inda MA
van Batenburg MF
Roos M
Belloum AS
Vasunin D
Wibisono A
van Kampen AH
Breit TM

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Inda MA
van Batenburg MF
Roos M
Belloum AS
Vasunin D
Wibisono A
van Kampen AH
Breit TM
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Technical Note

SigWin-detector: a Grid-enabled workflow for discovering enriched windows of genomic features related to DNA sequences

Márcia A Inda¹ , Marinus F van Batenburg² , Marco Roos³ , Adam SZ Belloum³ , Dmitry Vasunin³ , Adianto Wibisono³ , Antoine HC van Kampen² and Timo M Breit¹

¹Integrative Bioinformatics Unit, Swammerdam Institute for Life Sciences, Faculty of Science, University of Amsterdam, PO Box 94062, 1090 GB Amsterdam, The Netherlands

²Bioinformatics Laboratory, Academic Medical Center, Meibergdreef 9, 1105 AZ Amsterdam, The Netherlands

³Institute of Informatics, Faculty of Science, University of Amsterdam, Kruislaan 403, 1098 SJ Amsterdam, The Netherlands

author email corresponding author email

BMC Research Notes 2008, 1:63doi:10.1186/1756-0500-1-63


Published:	8 August 2008

Additional files

Additional file 1:

Derivation of the exact formula for the probability function f(m), and detailed description of the mmFDR-procedure.

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Additional file 2:

Additional Figures.

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Additional file 3:

Description of alternative SigWin-detector workflow configurations.

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Additional file 4:

Applicability of SigWin-detector: periodic time series of air quality data.

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Additional file 5:

This tar file contains the source files of the WS-VLAM modules needed to run the SigWin-detector workflow, and some examples. To uncompress use. ▪ tar -xvzf SigWin-VLAM.v1.1.tar.gz (Linux users). ▪ WinZip or a similar tool.

Format: GZ Size: 377KB Download file