View source: R/get_summary_with_unique_sites.R
get_summary_with_unique_sites | R Documentation |
Construct the data frame with unique phosphorylation site for each protein sequence and eliminate redundancy.
get_summary_with_unique_sites( combined_df_with_mapped_gene_symbol, species = "human", fasta_type = "refseq" )
combined_df_with_mapped_gene_symbol |
A dataframe with Sequence, ID, Modification, Gene Symbol, Area and PSMs as input. |
species |
A string, the options are human, mouse and rattus, the default is human. |
fasta_type, |
A string for fasta source, the options are refseq and uniprot, the default is refseq |
A dataframe that all redundant psites are assigned to protein sequence.
Dongdong Zhan and Mengsha Tong
## The process needs to load data from PhosMap datasets stored into FTP server and perform large computation. ## It may take a few minutes. if(FALSE){ ftp_url <- "ftp://111.198.139.72:4000/pub/PhosMap_datasets/function_demo_data/get_summary_with_unique_sites.RData" load_data <- load_data_with_ftp(ftp_url, 'RData') writeBin(load_data, "get_summary_with_unique_sites.RData") load("get_summary_with_unique_sites.RData") summary_df_of_unique_proteins_with_sites <- get_summary_with_unique_sites( combined_df_with_mapped_gene_symbol[1:100, ], species = 'human', fasta_type = 'refseq' ) head(summary_df_of_unique_proteins_with_sites) }
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