Method
Prediction of effective genome size in metagenomic samples
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* Corresponding author: Peer Bork bork@embl.de
- † Equal contributors
1 European Molecular Biology Laboratory, Meyerhofstrasse 1, D-69117 Heidelberg, Germany
2 Molecular Biophysics & Biochemistry Department, Yale University, Whitney Avenue, New Haven, Connecticut, USA
3 Institute of Molecular Biology, University of Zurich, Winterthurerstrasse 190, 8057 Zurich, Switzerland
Genome Biology 2007, 8:R10 doi:10.1186/gb-2007-8-1-r10
Published: 15 January 2007Additional files
Additional data file 1:
A description of methods, which are supplementary to the manuscript.
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Additional data file 2:
A figure showing the error distribution for EGS prediction on simulated reads.
Format: PDF Size: 91KB Download file
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Additional data file 3:
A figure showing that EGS predictions work well when analyzing mixtures of different species or read lengths.
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Additional data file 4:
A table summarizing estimated genome sizes for available unfinished genomic sequencing project datasets.
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Additional data file 5:
A figure showing the error distribution for EGS prediction on simulated reads, using the bacteria-specific version of the prediction formula.
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Additional data file 6:
A figure showing the error distribution for EGS prediction on real reads, using the bacteria-specific version of the prediction formula.
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Additional data file 7:
A table summarizing OG markers.
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Additional data file 8:
A table showing randomly selected genomes and read lengths used for calibration.
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Additional data file 9:
A table summarizing the shotgun sequencing projects used to estimate cloning bias.
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Additional data file 10:
A table summarizing the data statistics for available environmental shotgun sequencing datasets (measured after quality clipping).
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Additional data file 11:
A figure showing the error distribution for EGS prediction on real reads.
Format: PDF Size: 66KB Download file
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