I will perform bioinformatics analysis of microbiome data
Biologist Statistical Analysis and Bioinformatics
About this Gig
Need help analyzing microbiome or microbial amplicon data? I can help you process, analyze, and interpret your data using QIIME2, DADA2, Phyloseq, and R.
I can work with 16S rRNA and other microbial amplicon datasets and provide:
- QIIME2/DADA2 data processing and quality assessment
- Taxonomic composition and diversity analysis
- Alpha and beta diversity
- Ordination and community structure analysis
- Statistical analysis and visualization
- Differential abundance analysis when appropriate
- Publication-quality figures and clear interpretation
You will receive: processed results, statistical outputs, clear figures, interpretation of findings, and reproducible analysis workflows when included in your package.
I focus on selecting appropriate methods based on your research question, experimental design, and data structure.
Please contact me before ordering if you are unsure which package is appropriate for your dataset or if you need a specific bioinformatics workflow.
FAQ
What types of microbiome data can you analyze?
I can analyze microbial amplicon datasets such as 16S rRNA data and other compatible microbiome datasets using QIIME2, DADA2, Phyloseq, and R. Please contact me before ordering if you have a different data type.
Can you analyze raw FASTQ files?
Yes. Depending on the package, I can work with raw FASTQ files and perform quality assessment and processing using QIIME2 or DADA2. Please provide information about your sequencing platform, primers, and experimental design.
Can you analyze my microbiome data if I don't know which method to use?
Yes. I can review your research question, experimental design, metadata, and data structure and recommend an appropriate analysis workflow.
Will I receive the analysis code?
Reproducible code can be included depending on the package. I can provide R scripts and relevant analysis workflows when applicable.
Can you create publication-quality figures?
Yes. Depending on the package, I can create clear and publication-ready figures for diversity, taxonomy, ordination, community structure, and other appropriate analyses.
Can you analyze differential abundance?
Yes, when the experimental design and data support it. The appropriate method depends on the study design, number of samples, metadata, and research question.

