Project description:This benchmark data set is composed of two groups of fractionated samples. The first group contained a mixture of E. coli and human digest, and the second group contained a similar mixture except that the amount of E. coli was twice the amount as the first group.
Project description:We developed a set of algorithms for label-free quantification, termed MaxLFQ, embedded into MaxQuant. This contains two datasets to benchmark MaxLFQ: The proteome benchmark dataset consists of of HeLa and E. coli lysates mixed at defined ratios. The dynamic range benchmark dataset consists of UPS1/UPS2 standards (Sigma) spiked into E. coli lysates and quantified against each other.