Dataset Information

Detection of SEPs by MS - Unraveling the hidden universe of small proteins in bacterial genomes

ABSTRACT: Identifying smORFs and SEPs is technically and computationally challenging. Experimentally, techniques as ribosome profiling (Ribo-Seq and mass spectroscopy (MS) are used. Ribo-Seq sequences the mRNA and does not provide the translated frame, thus identifying proteins encoded by overlapping ORFs is not feasible. Herein we have used MS to characterize smORFomes of different Mycoplasma species. This data is used to corroborate the predictions of a random forest classifier that in silico predicts all the putative SEPs encoded by different bacterial genomes.

INSTRUMENT(S):

ORGANISM(S): Mycoplasma Hyopneumoniae Mycoplasma Mycoides Mycoplasma Pneumoniae Mycoplasma Capricolum Mycoplasma Genitalium Mycoplasma Gallisepticum Str. R

TISSUE(S): Cell Culture

SUBMITTER: Samuel Miravet Verde