search for: rsamtools

Displaying 7 results from an estimated 7 matches for "rsamtools".

2012 Aug 10
2
how to read .bam file
Hi all: I've got a data of ".bam" which is created from my partner under linux sysyem. My system is window xp, and I wanna know how to read the .bam file. Many thanks! My best [[alternative HTML version deleted]]
2019 Apr 13
3
SUGGESTION: Settings to disable forked processing in R, e.g. parallel::mclapply()
...in that example using `mclapply` and so it is significantly faster than other alternatives. It is a very simple and contrived example, but there are lots of applications that depend on processing of large data and benefit from multithreading. For example, if I read in large sequencing data with `Rsamtools` and want to check sequences for a set of motifs. > I don't see why mclapply could not be rewritten using PSOCK clusters. Because it would be much slower. > To implement copy-on-write, Linux overcommits virtual memory, and this > is what causes scripts to break unexpectedly: everyt...
2012 Dec 17
1
Code works standalone, yet same code fails when part of package
...t (which includes the code. Below is a transcript of my R session. First I load the code from a file, using source(). Then I execute it fine. Then I remove the function object, I load the package, and execute the same code from the package - and I get an error. Please help! Mick > library(Rsamtools) > source("viRome/R/read.bam.R") > read.bam function(bamfile=NULL, chr=NULL, start=1, end=1e07, what=c("qname", "flag", "rname", "strand", "pos", "qwidth", "mapq", "cigar", "mrnm",...
2010 Oct 09
1
A competition to create a recommendation engine for R packages
Hello everyone. There is a new competition, outlined on the blog dataists<http://www.dataists.com/2010/10/using-data-tools-to-find-data-tools-the-yo-dawg-of-data-hacking/>, inviting us to analyse statistics of the use of R packages (collected from 52 R users), to create a R-package suggestion engine for ourselves. Since I noticed several bloggers already wrote about it (as I have detailed
2019 Apr 13
0
SUGGESTION: Settings to disable forked processing in R, e.g. parallel::mclapply()
...ply` and so it is significantly faster than other > alternatives. > > It is a very simple and contrived example, but there are lots of > applications that depend on processing of large data and benefit from > multithreading. For example, if I read in large sequencing data with > `Rsamtools` and want to check sequences for a set of motifs. > > > I don't see why mclapply could not be rewritten using PSOCK clusters. > > Because it would be much slower. > > > To implement copy-on-write, Linux overcommits virtual memory, and this > > is what causes scrip...
2019 Apr 12
2
SUGGESTION: Settings to disable forked processing in R, e.g. parallel::mclapply()
Just throwing my two cents in: I think removing/deprecating fork would be a bad idea for two reasons: 1) There are no performant alternatives 2) Removing fork would break existing workflows Even if replaced with something using the same interface (e.g., a function that automatically detects variables to export as in the amazing `future` package), the lack of copy-on-write functionality would
2019 Jul 04
2
Fwd: Fedora 31 System-Wide change proposal: Automatic R runtime dependencies
...xl * R-rematch * R-rematch2 * R-remotes * R-repr * R-reprex * R-reshape * R-reshape2 * R-reticulate * R-rex * R-rgdal * R-rgeos * R-rhub * R-RInside * R-rlang * R-rlecuyer * R-RM2 * R-rmarkdown * R-R.methodsS3 * R-Rmpfr * R-ROC * R-RODBC * R-R.oo * R-roxygen2 * R-rprintf * R-rprojroot * R-R.rsp * R-Rsamtools * R-rsconnect * R-Rsolid * R-RSQLite * R-rstudioapi * R-rsvg * R-rtracklayer * R-RUnit * R-R.utils * R-rversions * R-rvest * R-S4Vectors * R-sandwich * R-scales * R-scatterplot3d * R-sciplot * R-selectr * R-sessioninfo * R-sfsmisc * R-shiny * R-showtext * R-showtextdb * R-simmer * R-snow * R-sodium...