I will perform ngs data qc, trimming and alignment using galaxy
MPhil Scholar, Bioinformatics and Drug Discovery Expert
About this Gig
Need help processing your raw NGS sequencing data? I provide reliable quality control, trimming, and alignment using the Galaxy platform so you get clean, analysis-ready data without having to learn the pipeline yourself.
What I can do:
Retrieve sequencing data from NCBI/SRA (fasterq-dump)
Run FastQC for quality assessment
Trim and clean reads (Trimmomatic)
Align reads to a reference genome (Bowtie2, HISAT2)
Provide a clear summary of results
I also work with several other Galaxy tools beyond these if your project needs something specific, message me first and I'll confirm whether I can help.
I'm early in my freelance journey with hands-on experience in NGS QC, trimming, and alignment a great option for straightforward projects at an affordable price.
Note: Best suited for small-to-medium datasets (e.g., targeted sequencing, small RNA-seq experiments). For very large datasets, please message me first to confirm feasibility.
Send me your dataset details (organism, sequencing type, file size) before ordering, and I'll confirm turnaround time.
My Portfolio
FAQ
What format should I send my data in?
FASTQ files, or an SRA accession number if your data is publicly available on NCBI.
How large a dataset can you handle?
I work best with small-to-medium datasets (e.g., targeted sequencing, small RNA-seq). For larger datasets, please message me first so I can confirm feasibility given Galaxy's server storage limits.
Do you provide raw output files or a summary report?
You'll receive both — the processed output files plus a clear summary explaining the quality metrics and any issues found.
What if my data needs a tool not listed in your gig?
Message me with details before ordering — I work with several other Galaxy tools and can confirm if I can help.
Can you help interpret the results, not just generate them?
Yes, I can include a brief explanation of what the QC/alignment results mean for your specific dataset.

