You will get Automated NGS, WES, RNA-Seq, AI/ML genomics Pipelines
Project details
You will get a fully automated, reproducible, and scalable bioinformatics pipeline tailored to your research or clinical workflow. With extensive experience in genomics, NGS analysis, workflow automation, cloud computing, and AI-driven biological data analysis, I develop robust solutions for WES, WGS, RNA-Seq, scRNA-Seq, metagenomics, variant calling, annotation, and downstream analysis.
My pipelines are built using industry-standard tools such as Nextflow, Docker, Singularity, Python, R, AWS, and GCP to ensure reproducibility, portability, and high performance. Whether you need a custom NGS workflow, cloud deployment, workflow optimization, or integration of AI/ML models for biological data, I deliver clean, well-documented, production-ready solutions.
What sets me apart is my combination of bioinformatics expertise, software engineering skills, and cloud infrastructure experience, allowing me to provide end-to-end solutions from raw sequencing data to actionable biological insights.
My pipelines are built using industry-standard tools such as Nextflow, Docker, Singularity, Python, R, AWS, and GCP to ensure reproducibility, portability, and high performance. Whether you need a custom NGS workflow, cloud deployment, workflow optimization, or integration of AI/ML models for biological data, I deliver clean, well-documented, production-ready solutions.
What sets me apart is my combination of bioinformatics expertise, software engineering skills, and cloud infrastructure experience, allowing me to provide end-to-end solutions from raw sequencing data to actionable biological insights.
AI Development Type
Deep Learning, Model TuningAI Tools
Amazon SageMaker, Google AutoML, OpenCV, PyTorch, Sonnet, TensorFlowAI Development Language
PythonWhat's included $250
These options are included with the project scope.
$250
- Delivery Time 2 days
- Number of Revisions 1
- AI Model Integration
- Detailed Code Comments
About Deepak
Bioinformatician/Developer
Indore, India - 9:15 am local time
Programming languages: Python, R Programming, Bash script
OS: Linux, Windows 10/11
Workflow: Nextflow, snakmake
container: Docker
Version Control: Git Github
Cloud computing: AWS, GCP
Databases: postgreSQL, MongoDB, MySQL
Data analysis: pandas, numpy, matplotlib, dplyr, ggplot2, tidyr, tidyverse etc
Virtual environment: Ananconda3
Editor: Jupyter notebook, pycharm, Visual studio code
Pipeline Automation
NGS: RNA-Seq, Whole Genome Sequencing, Whole Exome Sequencing, Metagenome Sequencing, Oncology panels analysis
NGS tools: FastQC, fastp, Trimgalore, Multiqc, BWA, Bowtie, STAR Aligner, Velvet, Prokka, SPAdes, Samtools, Bamtools, BCFtools, vcftools, Picard tools, GATK, Qualimap, vcfstats, VEP, IGV, Annovar, PLINK, Freebyes,BEDtools etc.
Databases: GenBank, UCSC, TCGA, Clinvar, COSMIC, CancerVar, PredictSNP2, dbSNP, NCBI, GEO, OMIM,TCGA, etc.
Bioinformatics Tools: Standalone BLAST, Clustal Omega, Cytoscape, AutoDock
Statistics, Bioconductor
NABL
Worked with illumina and Ion torrent data
Steps for completing your project
After purchasing the project, send requirements so Deepak can start the project.
Delivery time starts when Deepak receives requirements from you.
Deepak works on your project following the steps below.
Revisions may occur after the delivery date.
Requirement Gathering
Discuss project objectives and deliverables Review datasets, workflows, and computational requirements Define expected outputs and timelines
Pipeline Design
Design workflow architecture Select appropriate tools and technologies Prepare execution environment