GitHub topics: cutadapt
y9c/cutseq
✂️ Trim sequencing adapters from NGS data automatically
Language: Python - Size: 3.53 MB - Last synced at: 5 days ago - Pushed at: 5 days ago - Stars: 12 - Forks: 0
LeoooJR/ReproHackathon
A reproducible RNA-Seq analysis pipeline for Staphylococcus aureus under antibiotic stress, utilizing Nextflow and Singularity. It involves genome mapping, read counting, and statistical analysis to identify differentially expressed genes (DEGs) and generates key visualizations.
Language: R - Size: 158 KB - Last synced at: about 1 month ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0
digo4/Clinical-Genomics
Here we are going to discuss variant calling on human datasets using GATK Best practices pipeline
Language: Shell - Size: 190 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0
DavideScarpetta/taxonomic_profiling
Metabarcoding analysis pipeline, using DADA2 and qiime2
Language: Shell - Size: 65.4 KB - Last synced at: about 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0
GenomicaMicrob/pair-end_cleaner
Script to unzip, clean, assemble, and convert illumina pair-end fastq files in all subdirectories for 16S amplicon data (V3, V4 and V3-V4 regions).
Size: 8.79 KB - Last synced at: over 1 year ago - Pushed at: over 6 years ago - Stars: 0 - Forks: 2
cyverseuk/cutadapt
Language: Shell - Size: 7.81 KB - Last synced at: over 1 year ago - Pushed at: almost 8 years ago - Stars: 0 - Forks: 0
Pinky-cloud224/snakemake_workflow_rna_seq_data_analysis
Language: Jupyter Notebook - Size: 975 KB - Last synced at: over 1 year ago - Pushed at: over 2 years ago - Stars: 1 - Forks: 0
furkanmtorun/rna-seq-workflow 📦
🛠 under active development | RNA-Seq Workflow in Jupyter Notebook
Language: Jupyter Notebook - Size: 30.3 KB - Last synced at: about 2 years ago - Pushed at: over 5 years ago - Stars: 3 - Forks: 1
hisplan/docker-cutadapt
Dockerized cutadapt
Language: Shell - Size: 2.93 KB - Last synced at: about 2 years ago - Pushed at: over 3 years ago - Stars: 0 - Forks: 0
