Evaluation SIHUMI dataset: A sectioning and database enrichment approach for improved peptide spectrum matching in large, genome-guided protein sequence databases

<p>Dataset for&nbsp;evaluation of&nbsp;database sectioning method for generating an enriched database for mass-spectrometry-based proteomic approaches&nbsp;using large databases. Our evaluation demonstrates that this method helps to&nbsp;increase the sensitivity of PSMs while maintaining acceptable FDR statistics. This dataset was acquired from the protein samples containing proteins from eight microorganisms (<em>Anaerostipes caccae, Bacteroides thetaiotaomicron, Bifidobacterium longum, Blautia producta, Clostridium butyricum, Clostridium ramosum, Escherichia coli, Lactobacillus plantarum</em>) that were grown in a bioreactor. The MS-data for this dataset was acquired by Dr. Hettich&#39;s group at Oak Ridge National Laboratory, and it was made available by Dr. Nico Jehmlich from&nbsp;Helmholtz Center for Environmental Research through&nbsp;the 3rd International Metaproteome Symposium (<a href="https://www.ufz.de/index.php?en=44639">https://www.ufz.de/index.php?en=44639</a>).&nbsp;</p>