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Difference between bin/bs_call and gemBSbinaries/bs_call?
What is the difference between these two binaries?
/home/dlin/.conda/envs/gembs/bin/bs_call
/home/dlin/.conda/envs/gembs/lib/python3.9/site-packages/gemBS/gemBSbinaries/bs_call
I've noted that the first one does not have options such as -O
and --contig-sizes
.
The .vcf generated by bin/bs_call
is also empty compared to that of gemBSbinaries/bs_call
.
Looks like gemBS call
use gemBSbnaries/bs_call
instead of bin/bs_call
... is there a reason for this?
gemBS should use the binaries in gemBSbinaries. As for your original question about the difference between bin/bs_call and gemBSbinaries/bs_call, I think that that is a question for the maintainer of the conda package.
Yours, Simon
On Fri, Dec 2, 2022 at 12:17 AM Diana Lin @.***> wrote:
Does gemBS call use gemBSbnaries/bs_call instead of bin/bs_call?
— Reply to this email directly, view it on GitHub https://github.com/heathsc/gemBS/issues/96#issuecomment-1334569766, or unsubscribe https://github.com/notifications/unsubscribe-auth/AAY465ZSAHKDIDS6ULO5LHLWLEWYRANCNFSM6AAAAAASQGRFAQ . You are receiving this because you are subscribed to this thread.Message ID: @.***>
Hi Simon,
Thank you. I see that another package called bs_call
is installed in the gemBS recipe:
Updating specs:
- gembs
- ca-certificates
- certifi
- openssl
Package Version Build Channel Size
────────────────────────────────────────────────────────────────────────────────────
Install:
────────────────────────────────────────────────────────────────────────────────────
+ bcftools 1.15.1 h0ea216a_0 bioconda/linux-64 884kB
+ brotli 1.0.9 h166bdaf_8 conda-forge/linux-64 19kB
+ brotli-bin 1.0.9 h166bdaf_8 conda-forge/linux-64 20kB
+ bs_call 2.02 h7c6eca5_6 bioconda/linux-64 231kB
+ contourpy 1.0.6 py39hf939315_0 conda-forge/linux-64 239kB
+ cycler 0.11.0 pyhd8ed1ab_0 conda-forge/noarch Cached
+ dill 0.3.6 pyhd8ed1ab_1 conda-forge/noarch 83kB
+ fonttools 4.38.0 py39hb9d737c_1 conda-forge/linux-64 2MB
+ gem3-mapper 3.6.1 h67092d7_10 bioconda/linux-64 848kB
+ gembs 3.5.5_IHEC py39ha087f92_5 bioconda/linux-64 17MB
+ htslib 1.15.1 h6bc39ce_1 bioconda/linux-64 2MB
+ kiwisolver 1.4.4 py39hf939315_1 conda-forge/linux-64 78kB
+ libbrotlicommon 1.0.9 h166bdaf_8 conda-forge/linux-64 67kB
+ libbrotlidec 1.0.9 h166bdaf_8 conda-forge/linux-64 34kB
+ libbrotlienc 1.0.9 h166bdaf_8 conda-forge/linux-64 295kB
+ llvm-openmp 8.0.1 hc9558a2_0 conda-forge/linux-64 449kB
+ matplotlib-base 3.6.2 py39hf9fd14e_0 conda-forge/linux-64 8MB
+ multiprocess 0.70.14 py39hb9d737c_3 conda-forge/linux-64 220kB
+ munkres 1.1.4 pyh9f0ad1d_0 conda-forge/noarch 12kB
+ mysql-connector-c 6.1.11 h6eb9d5d_1007 conda-forge/linux-64 3MB
+ openjpeg 2.5.0 h7d73246_1 conda-forge/linux-64 546kB
+ openmp 8.0.1 0 conda-forge/linux-64 8kB
+ packaging 21.3 pyhd8ed1ab_0 conda-forge/noarch Cached
+ pillow 9.2.0 py39hf3a2cdf_3 conda-forge/linux-64 47MB
+ pyparsing 3.0.9 pyhd8ed1ab_0 conda-forge/noarch Cached
+ samtools 1.15.1 h1170115_0 bioconda/linux-64 402kB
+ ucsc-bedtobigbed 377 ha8a8165_3 bioconda/linux-64 184kB
+ ucsc-wigtobigwig 377 ha8a8165_3 bioconda/linux-64 160kB
+ unicodedata2 15.0.0 py39hb9d737c_0 conda-forge/linux-64 512kB