I will do rna seq, metagenomics and 16s microbiome bioinformatics analysis
Machine Learning Engineer
About this Gig
You have the FASTQ files. What you need is someone who can turn them into results your PI and reviewers will accept.
I analyze sequencing data for researchers and biotech teams, and I publish my own. My microbiome and neuropharmacology work has appeared in peer-reviewed journals, so I write results the way reviewers expect to read them.
What I handle:
16S and ITS amplicon: QIIME2 or DADA2, alpha and beta diversity, taxonomy, differential abundance
Bulk RNA-seq: alignment, DESeq2 or edgeR, GO and KEGG enrichment
Shotgun metagenomics: MetaPhlAn, MAG recovery, functional profiling
Single cell: Seurat clustering, marker genes, UMAP
Variants: GATK best practices, GWAS
You receive volcano plots, heatmaps, PCoA and UMAP figures at 300 DPI, statistics done properly with multiple testing correction, documented code you can rerun, and a methods paragraph written for your manuscript.
I work from FASTQ, BAM, VCF, count matrices, or a GEO or SRA accession, from Illumina, Nanopore or PacBio.
Message me with your research question and sample count and I will tell you honestly what your data can support before you order.
Programming language:
Python
•
R
•
Colab
Frameworks:
Scikit-learn
•
DeepPy
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Keras
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PyTorch
•
Panda
Tools:
Jupyter Notebook
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OpenCV
•
Colab
•
RStudio

