adamd3 / bactseq Goto Github PK
View Code? Open in Web Editor NEWA nextflow pipeline for performing bacterial RNA-Seq data analysis.
License: MIT License
A nextflow pipeline for performing bacterial RNA-Seq data analysis.
License: MIT License
I am wondering if i can use the pipeline to detect bacterial infections in human illumina paired ended fastq files.
I assume i would use already host removed files and use these against ncbi bacterial genomes?
Thanks
Hi!
Thank you for developing bactseq!
I'm having error while trying to run deseq2 on the test_data.
The command:
nextflow run /tools/BactSeq/BactSeq --data_dir /tools/BactSeq/BactSeq/test_data/ --ref_genome /tools/BactSeq/BactSeq/test_data/Mabs.fasta --ref_ann /tools/BactSeq/BactSeq/test_data/Mabs.gff3 --sample_file /tools/BactSeq/BactSeq/test_data/sample_sheet_1.tsv -profile singularity --outdir ./test_singularity4 --cont_tabl /tools/BactSeq/BactSeq/test_data/contratst.txt
The contrasts file is attached.
contratst.txt
error log:
executor > local (13)
[64/bd83ac] process > MAKE_META_FILE (sample_sheet_1.tsv) [100%] 1 of 1 ✔
[6d/de3a9d] process > TRIMGALORE (3C3) [100%] 4 of 4 ✔
[1f/6294e1] process > MAKE_BWA_INDEX (Mabs.fasta) [100%] 1 of 1 ✔
[ca/258ef2] process > BWA_ALIGN (3D3) [100%] 4 of 4 ✔
[12/77d6fc] process > COUNT_READS (Mabs.gff3) [100%] 1 of 1 ✔
[03/53307a] process > NORMALISE_COUNTS (gene_counts_pc.tsv) [ 0%] 0 of 1
[- ] process > PCA_SAMPLES -
[b0/02a06a] process > DIFF_EXPRESSION (gene_counts_pc.tsv) [ 0%] 0 of 1
ERROR ~ Error executing process > 'DIFF_EXPRESSION (gene_counts_pc.tsv)'
Caused by:
Process DIFF_EXPRESSION (gene_counts_pc.tsv)
terminated with an error exit status (1)
Command executed:
[ ! -f contrast_table.tsv ] && ln -s contratst.txt contrast_table.tsv
diffexpr.R -p 0.05 -l 1 -o ./
Command exit status:
1
Command output:
(empty)
Thank you for any kind of help!
Dear Adam
I'm hoping you can perhaps help with the following error. I ran the pipeline without setting a contrast file previously. Worked perfectly. Now I'm trying to repeat with the contrast file. It's a simple two condition experiment. I have attached the command.err file for the step as well as the sample sheet, contrasts file and my stdout file
Running on a HPC with Ubuntu 20 installed.
The command I ran was within a slurm launcher. I've had to pull the github repository in a rather unusual way. The command after exporting singularity temp paths is:
nextflow run https://github.com/adamd3/BactSeq -latest -r main --paired --data_dir /scratch/sysuser/jonathan/ops/MRC/DE_RNA --sample_file /scratch/sysuser/jonathan/ops/MRC/DE_RNA/samplesheet.txt --ref_genome /scratch/sysuser/jonathan/ops/MRC/DE_RNA/GCF_000195955.2_ASM19595v2_genomic.fna --ref_ann /scratch/sysuser/jonathan/ops/MRC/DE_RNA/genomic.gff --cont_tabl contrasts.tsv -profile singularity
I recognize the group_INF_vs_EFF as a DESEQ2 parameter but I don't know what causes the error or what mistake I may have made.
Kind regards,
Jonathan
stdout.txt
command.txt
samplesheet.txt
contrasts.txt
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.