{Reference Type}: Journal Article
{Title}: Bioinformatic Workflows for Metaproteomics.
{Author}: Holstein T;Muth T;
{Journal}: Methods Mol Biol
{Volume}: 2820
{Issue}: 0
{Year}: 2024
暂无{DOI}: 10.1007/978-1-0716-3910-8_16
{Abstract}: The strong influence of microbiomes on areas such as ecology and human health has become widely recognized in the past years. Accordingly, various techniques for the investigation of the composition and function of microbial community samples have been developed. Metaproteomics, the comprehensive analysis of the proteins from microbial communities, allows for the investigation of not only the taxonomy but also the functional and quantitative composition of microbiome samples. Due to the complexity of the investigated communities, methods developed for single organism proteomics cannot be readily applied to metaproteomic samples. For this purpose, methods specifically tailored to metaproteomics are required. In this work, a detailed overview of current bioinformatic solutions and protocols in metaproteomics is given. After an introduction to the proteomic database search, the metaproteomic post-processing steps are explained in detail. Ten specific bioinformatic software solutions are focused on, covering various steps including database-driven identification and quantification as well as taxonomic and functional assignment.