--- title: "A note on fimo16 in TFutils" author: "Vincent J. Carey, stvjc at channing.harvard.edu" date: "`r format(Sys.time(), '%B %d, %Y')`" vignette: > %\VignetteEngine{knitr::rmarkdown} %\VignetteIndexEntry{A note on fimo16} %\VignetteEncoding{UTF-8} output: BiocStyle::html_document: highlight: pygments number_sections: yes theme: united toc: yes --- # Introduction Sequence-based TF affinity scoring can be conducted with the FIMO suite, see @Sonawane2017. We have serialized an object with references to FIMO outputs for 16 TFs. ```{r lkfimo16} suppressPackageStartupMessages({ library(TFutils) library(GenomicRanges) }) fimo16 ``` While the token `bed` is used in the filenames, the files are not actually bed format! # Importing with `scanTabix` We can use `reduceByRange` to import selected scans. ```{r lkimp} if (.Platform$OS.type != "windows") { si = TFutils::seqinfo_hg19_chr17 myg = GRanges("chr17", IRanges(38.07e6,38.09e6), seqinfo=si) colnames(fimo16) = fimo16$HGNC lk2 = GenomicFiles::reduceByRange(fimo16[, c("POU2F1", "VDR")], MAP=function(r,f) scanTabix(f, param=r)) str(lk2) } ``` This result can be massaged into a GRanges or other desirable structure. `fimo_granges` takes care of this. ```{r domult} #fimo_ranges = function(gf, query) { # prototypical code # rowRanges(gf) = query # ans = GenomicFiles::reduceByRange(gf, MAP=function(r,f) scanTabix(f, param=r)) # ans = unlist(ans, recursive=FALSE) # drop top list structure # tabs = lapply(ans, lapply, function(x) { # con = textConnection(x) # on.exit(close(con)) # dtf = read.delim(con, h=FALSE, stringsAsFactors=FALSE, sep="\t") # colnames(dtf) = c("chr", "start", "end", "rname", "score", "dir", "pval") # ans = with(dtf, GRanges(seqnames=chr, IRanges(start, end), # rname=rname, score=score, dir=dir, pval=pval)) # ans # }) # GRangesList(unlist(tabs, recursive=FALSE)) #} if (.Platform$OS.type != "windows") { rr = fimo_granges(fimo16[, c("POU2F1", "VDR")], myg) rr } ``` ```{r sesss} sessionInfo() ```