Bioinformatics & NGS Data Analysis Services
Define your research question. Review the analysis and evidence needed.
A professional analysis service delivered by Manna Biotech's scientific team — for scholars, faculty, institutions and companies who have sequencing data but not the pipeline, the compute or the time to analyse it properly.
This is a service, not a course. Delivered remotely, anywhere in India.
Plan your project
Turn existing sequence data into an answerable analysis brief
Before requesting a pipeline or figure, identify the biological comparison and the files available. Analysis of existing data is a distinct service from generating new sequence data. Quality, sample metadata and study design determine which questions can be answered and what must remain uncertain.
Decision 1
Inventory the files and their provenance
Describe the assay, organism, file types and whether you have raw reads, alignments, counts or previously processed outputs. Include reference and annotation versions if known. A processed spreadsheet may not support the same checks or reanalysis as original sequence files; discuss missing inputs before defining deliverables.
Decision 2
Check the comparison before fitting a model
Provide group assignments, biological replicates, paired observations and known batches. If a batch coincides entirely with the condition of interest, the effects may not be distinguishable from these data. Analysis choices should reflect the design and its limitations rather than promise that software can repair every confounded experiment.
Bioconductor: experimental design and sample relationships ↗Decision 3
Define a reproducible output package
Agree the quality review, comparisons, reference versions, tables, figures and workflow documentation needed. Distinguish exploratory findings from pre-specified tests and decide how uncertainty or exclusions will be reported. If a downstream conclusion needs experimental confirmation, record that as a separate requirement rather than treating a computational result as proof.
Separate analysis completion from biological validation
Request a record of inputs, quality decisions, software or workflow versions, references, parameters and agreed output files. Specify whether explanation or handover support is included. The final interpretation should state which findings the data support, which are exploratory and which need additional evidence.
What we analyse
Define a documented analysis workflow.
Genome assembly & annotation
De novo and reference-guided assembly from Nanopore or Illumina reads, with structural and functional annotation and quality metrics.
16S metagenomics & microbiome
Full amplicon pipeline — quality control, ASV/OTU calling, taxonomic assignment, alpha/beta diversity and differential abundance.
RNA-seq & differential expression
Alignment, quantification, differential expression, pathway and GO enrichment, with heatmaps and volcano plots.
Molecular docking & MD simulation
Target preparation, docking, binding-affinity analysis and molecular dynamics with trajectory analysis.
Variant calling & analysis
Alignment, variant calling, filtering and annotation, with interpretation of variants of interest.
Figures & methods write-up
Specify figure formats, methods documentation and contribution acknowledgement for your research output. Publication acceptance is never assured.
Who this is for
Match your data and question to a suitable workflow.
PhD scholars & researchers
You have generated data but need it analysed rigorously — and defended in your viva. Agree the analysis contribution and methods documentation, and acknowledge contributions according to institutional and publication rules.
Faculty & institutions
Departments without a bioinformatics facility can outsource analysis for funded projects, publications and student dissertations.
Biotech & pharma companies
Project-based analysis for internal R&D programmes, delivered under confidentiality.
Labs that sequence elsewhere
Already have FASTQ files from another provider? Send them across — we analyse data regardless of where it was generated.
How it works
Four steps, no travel required.
Share the scope
Tell us the data type, how it was generated, and the biological question you need answered.
Quote & timeline
We confirm the pipeline, deliverables and turnaround before any work begins.
Transfer your data
After scope acceptance, agree an authorised transfer process and access controls before sharing any files. Do not send confidential or identifiable data through the enquiry form.
Results & walkthrough
You receive results, publication-quality figures and a methods write-up — plus a call to walk you through it.
Why Manna Biotech
Analysis you can stand behind in a viva.
Bioinformatics team oversight
Manna Biotech scientific team manages the pipelines, quality checks and interpretation for every analysis package.
Review how the data was generated
The generating platform, sample metadata and QC affect analysis suitability. Existing-data analysis does not establish sequencing equipment ownership or wet-lab availability.
You get the method, not a black box
Agree documented methods and contribution records so you can explain the analysis and acknowledge the work accurately.
Confidential by default
Your data and results remain yours. NDA available on request before any transfer.
Start a project
Tell us about your data.
Include the data type (RNA-seq, 16S, whole genome, docking), roughly how many samples, and the question you are trying to answer. We will come back with the right pipeline, a timeline and a quote.
Related services
Connect your data analysis to the right laboratory or research pathway.
Sequencing & laboratory services
Review a separate laboratory scope if new data is required. Platform, method, sample acceptance and execution location must be verified before any wet-lab work.
PhD data analysis support
Use the scholar-focused path for statistics, NGS, bioinformatics, figures and research-stage guidance.
R&D & product development
For company or institutional programs, turn a standalone analysis into a scoped research or development engagement.
Genome sequencing and analysis planning
Review sample feasibility and agreed analysis outputs when a research question also requires new genome-sequencing data.
Microbial-community research planning
Scope community-profiling questions, sample requirements and analysis outputs through the existing 16S research route.
Experimental follow-up feasibility
Discuss whether a computational research question can be followed by suitable in-vitro assays, with models and methods reviewed first.
Questions
Frequently asked questions
Can you analyse data that was sequenced somewhere else?
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Existing data can be proposed for analysis review regardless of the generating provider. File type, platform, quality, permissions and workflow suitability must be confirmed first. Agree an authorised transfer process before sharing files.
Is this a course or a service?
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This is a service. You send data and receive analysed results. If you want to learn to do the analysis yourself, that is our separate bioinformatics training programme — the two are different offerings with different outcomes.
Will I be able to explain and defend the analysis in my viva?
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That is the point of how we deliver it. Every project includes a written methods section and a walkthrough call, so you understand what was done and why. We support your work and never ghost-write it — the research and the authorship remain entirely yours.
What kinds of analysis do you cover?
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Genome assembly and annotation, 16S metagenomics and microbiome analysis, RNA-seq and differential expression with pathway and GO enrichment, variant calling and annotation, and molecular docking with MD simulation. Deliverables include publication-quality figures.
Do I need to travel to Hyderabad?
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No. The service is delivered remotely anywhere in India. Data is transferred by cloud link and results are returned the same way, followed by a call to walk you through them.
Is my data kept confidential?
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Yes. Your data and results remain yours, and an NDA is available on request before any transfer. Company projects are routinely run under confidentiality.
Can you guarantee my paper will be published?
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No, and no honest provider can. Journal acceptance depends on your study design, novelty and the reviewers. We make sure the analysis is rigorous, properly documented and defensible, which is what we can genuinely control.
What should I prepare before requesting a bioinformatics analysis quote?
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Outline the research question, available data type and approximate number of samples, sample-group and control or comparison information, the analyses and output formats you need, your preferred timeline, and any data-quality or feasibility questions. Mention the generating platform and previous analysis versions if known, and distinguish new analysis from review of existing results. Use a non-confidential description first. Before transferring files, confirm that you are authorised to share them and agree the access, de-identification and transfer process appropriate to the project.