Last updated: 2020-03-27
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Knit directory: Comparative_APA/analysis/
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File | Version | Author | Date | Message |
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Rmd | f92b89c | brimittleman | 2020-03-26 | add ortho exon and new mm |
I want to look at the parameters for multimapping. I will look at the paremeters such as include a read when the first vs second map difference is 10%, 5% ect. I want to get to a cutoff where the PAS lost are not in the ortho exon.
I will look at the featurecounts documentation for this or I can look directly at the star info.
−−primary: If specified, only primary alignments will be counted. Primary and secondary alignments are identified using bit 0x100 in the Flag field of SAM/BAM files. All primary alignments in a dataset will be counted no matter they are from multi- mapping reads or not (ie. ‘-M’ is ignored).
For multi-mappers, all alignments except one are marked with 0x100 (secondary alignment) in the FLAG (column 2 of the SAM
I used options:
–outFilterMultimapNmax 10 –outSAMmultNmax 1
–outSAMmultNmax 1 will output exactly one SAM line for each mapped read
I only allowed for 1 read to be mapped. I want the secondary one as well. I want to mess with the secondary read.
Remap human and chimp reads with the new filter. Just to look first, don’t worry about misspriming.
mkdir ../data/TestMM2/
sbatch StarMM2.sh
sessionInfo()
R version 3.5.1 (2018-07-02)
Platform: x86_64-pc-linux-gnu (64-bit)
Running under: Scientific Linux 7.4 (Nitrogen)
Matrix products: default
BLAS/LAPACK: /software/openblas-0.2.19-el7-x86_64/lib/libopenblas_haswellp-r0.2.19.so
locale:
[1] LC_CTYPE=en_US.UTF-8 LC_NUMERIC=C
[3] LC_TIME=en_US.UTF-8 LC_COLLATE=en_US.UTF-8
[5] LC_MONETARY=en_US.UTF-8 LC_MESSAGES=en_US.UTF-8
[7] LC_PAPER=en_US.UTF-8 LC_NAME=C
[9] LC_ADDRESS=C LC_TELEPHONE=C
[11] LC_MEASUREMENT=en_US.UTF-8 LC_IDENTIFICATION=C
attached base packages:
[1] stats graphics grDevices utils datasets methods base
loaded via a namespace (and not attached):
[1] workflowr_1.6.0 Rcpp_1.0.2 digest_0.6.18 later_0.7.5
[5] rprojroot_1.3-2 R6_2.3.0 backports_1.1.2 git2r_0.26.1
[9] magrittr_1.5 evaluate_0.12 stringi_1.2.4 fs_1.3.1
[13] promises_1.0.1 whisker_0.3-2 rmarkdown_1.10 tools_3.5.1
[17] stringr_1.3.1 glue_1.3.0 httpuv_1.4.5 yaml_2.2.0
[21] compiler_3.5.1 htmltools_0.3.6 knitr_1.20