This project provides a large-scale training dataset for DDA-BERT, an end-to-end transformer-based deep learning model developed for PSM rescoring in data-dependent acquisition (DDA) proteomics. The dataset comprises curated PSMs generated using established database search engines, including FragPip...
ORGANISM(S): Chlamydomonas reinhardtii Glycine max Arabidopsis thaliana (Mouse-ear cress) Homo sapiens (Human) Mus musculus (Mouse) Escherichia coli Saccharomyces cerevisiae (Baker's yeast) Caenorhabditis elegans Rattus norvegicus (Rat) Bacillus cereus Bacillus subtilis