Methodology article
A dynamic programming approach for the alignment of signal peaks in multiple gas chromatography-mass spectrometry experiments
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* Corresponding author: Vladimir A Likić vlikic@unimelb.edu.au
1 The Walter and Eliza Hall Institute of Medical Research, 1G Royal Parade, Parkville, VIC 3050, Australia
2 Department of Medical Biology, University of Melbourne, Parkville, VIC 3010, Australia
3 Department of Biochemistry and Molecular Biology, Bio21 Molecular Science and Biotechnology Institute, University of Melbourne, Royal Parade, Parkville, VIC, 3010, Australia
4 Bio21 Molecular Science and Biotechnology Institute, University of Melbourne, Royal Parade, Parkville, 3010, Australia
5 Department of Statistics, University of California, Berkeley, CA 94720-3860, USA
BMC Bioinformatics 2007, 8:419 doi:10.1186/1471-2105-8-419
Published: 29 October 2007Additional files
Additional file 1:
Raw data files, peak lists, and alignment tables for eight replicate experiments obtained by GC-MS metabolic profiling of wild type L.mexicana. This folder contains peak lists for eight GC-MS replicate experiments, raw GC-MS data files in the NetCDF format, manually prepared peak alignment table, and the alignment table obtained by automated peak alignment.
Format: GZ Size: 5.9MB Download file
Additional file 2:
Additional raw data files for replicate experiments obtained by GC-MS metabolic profiling of wild type L.mexicana. This folder contains three additional raw GC-MS data files in the NetCDF format, that correspond to peak lists provided in SupplMaterial1/ChemStation.
Format: GZ Size: 9MB Download file
Additional file 3:
Additional raw data files for replicate experiments obtained by GC-MS metabolic profiling of wild type L.mexicana. This folder contains three additional raw GC-MS data files in the NetCDF format, that correspond to peak lists provided in SupplMaterial1/ChemStation.
Format: GZ Size: 8.9MB Download file