The dataset consists of a fasta file including 36 bacterial species and the human proteome obtained from the Uniprot database. The 36 bacterial species were chosen based on ≥ 1 % detection of total reads in 16S sequencing data of dried cervicovaginal fluid from paper cards. This dataset can be used as a reference file for quantification of bacterial proteins using maxquant. The fasta file contains a representative proteome for the following species: Proteome_ID Species UP000234775 Aerococcus christensenii UP000016519 Alloscardovia omnicolens UP000005984 Anaerococcus lactolyticus UP000003191 Bifidobacterium breve UP000003503 Dialister micraerophilus UP000005947 Fannyhessea vaginae UP000005392 Fusobacterium animalis UP000002521 Fusobacterium nucleatum UP000258888 Gardnerella vaginalis UP000255264 Haemophilus pittmaniae UP000004115 Lactobacillus iners UP000003242 Megasphaera lornae UP000002631 Mycoplasma hominis UP000004206 Peptostreptococcus anaerobius UP000002786 Prevotella bivia UP000033103 Sneathia vaginalis UP000000423 Ureaplasma parvum UP000029628 Veillonella montpellierensis UP000003744 Anaerococcus tetradius UP000253807 Haemophilus parainfluenzae UP000067598 Lactobacillus crispatus UP000189488 Lactobacillus gasseri UP000327236 Lactobacillus jensenii UP000318911 Lactobacillus mulieris UP000070160 Megasphaera hutchinsoni UP000070531 Prevotella amnii UP000254072 Prevotella disiens UP001254699 Sneathia sanguinegens UP000238573 Streptococcus anginosus UP000008693 Bifidobacterium dentium UP000005388 Streptococcus urinalis UP000189488 Lactobacillus gasseri UP000000821 Streptococcus agalactiae UP000000625 Escherichia coli UP000008816 Staphylococcus aureus UP000000431 Chlamydia trachomatis UP000005640 Homo sapiens
Other health sciences not elsewhere classified
Translational and applied bioinformatics