PhD-led analysis for RNA-seq, WGS, metagenomics, exosome and small RNA datasets – delivering reproducible pipelines, clear reports and publication-ready figures.
From raw FASTQ files to interpretable biological insights, mbioinformatics supports academic labs, clinicians and biotech companies with customised analysis workflows.
End-to-end RNA-seq analysis including QC, alignment, quantification, differential expression analysis and visualisation with DESeq2/edgeR.
Learn moreHybrid and short-read assembly, polishing and annotation for bacterial, fungal and plant genomes using Flye, PGAP and related tools.
Learn moreSpecialised pipelines for miRNA, siRNA and exosome-derived RNA using ShortStack, miRDeep2 and custom workflows.
Learn moreShare your sample details, organism, data type, expected outputs and timeline. A customised quotation with clear milestones can be prepared after reviewing the project scope.
Package scope depends on sample number, data type, organism, analysis depth, reporting requirements and deadline. Please reach out with your project details for a customised quotation.
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Scientific understanding combined with reproducible command-line workflows, clear reporting and publication-quality visualisation.
Bioinformatics consulting with strong research and biological interpretation support.
Clear Bash, R and Python workflows with documented outputs and analysis steps.
PCA, heatmaps, volcano plots, phylogenetic trees, Circos plots and custom figures.
Milestone-based project planning for improved client and consultant protection.
Computational biologist and bioinformatics consultant specialising in NGS, genomics, transcriptomics, metagenomics and multi-omics data analysis.
I’m Dr. Manish Ranjan, a computational biologist and bioinformatics consultant offering accurate, reproducible and publication-quality analysis for NGS and multi-omics datasets.
I support projects involving RNA-seq, whole-genome sequencing, bacterial comparative genomics, metagenomics, small RNA/exosome RNA analysis, phylogenetics and custom Bash/R/Python pipelines.
My focus is to provide clear reports, reproducible workflows, high-quality plots and practical biological interpretation for academic labs, clinical researchers, startups and industry partners.
Selected examples of analysis areas supported by mbioinformatics. Client-sensitive datasets are handled confidentially, and demonstration outputs can be shared using anonymised or public datasets.
Workflow from FASTQ quality control to count matrix generation, DESeq2/edgeR analysis, PCA, heatmap, volcano plot and enrichment analysis.
Discuss Similar ProjectAssembly, polishing, genome QC, annotation, AMR screening, plasmid/BGC analysis, pan-genome comparison and phylogenetics.
Discuss Similar ProjectAdapter trimming, ShortStack/miRDeep2 workflows, small RNA locus expression, differential analysis and publication-ready visualisation.
Discuss Similar ProjectA clear project workflow helps define scope, protect payments and deliver high-quality outputs in an organised manner.
Project files, metadata, sample number, organism, expected outputs and deadline are reviewed.
A written quotation is prepared with clearly defined deliverables and milestone structure.
For new clients, work starts after advance payment or funded milestone through approved platforms.
QC summaries, preliminary outputs, scripts and analysis updates are shared according to milestones.
Final scripts, reports, tables, figures and editable files are released after milestone approval.
For first-time international clients, milestone-based escrow through Upwork Direct Contract or Kolabtree is preferred. For Indian clients, bank transfer/UPI with invoice may be used. Final editable files, complete scripts, high-resolution figures and full reports are released after the agreed milestone payment is completed.
Browse peer-reviewed publications, methods and applications in genomics, transcriptomics and systems biology.
Explore previous projects, collaborations and endorsements. Connect to discuss timelines, budgets and technical scope for your datasets.
Send project details including sample number, data type, organism, deadline and expected deliverables. A suitable workflow and milestone-based quotation can be prepared.
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