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Strategies for metagenomic-guided whole-community proteomics of complex microbial environments.

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Academic year: 2017

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Figure 1. Creation of protein sequence databases. Protein sequence databases were created from metagenomic sequence reads using a variety of methods for assembly and gene finding.
Figure 2. Comparison of identified peptides using sequence similarity techniques. Percentage of matches found when comparing identified peptides from sample 6a (left panel) or 6b (right panel) to predicted proteins using FASTS (gray bars) and raw sequencin
Figure 3. Performance and comparison of de novo peptide sequencing results. Distribution of assigned spectra per de novo algorithm with a predicted consensus sequence (partial and/or exact sequence match) among all three algorithms, PEAKS, PepNovo+, and SE

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