Transcriptomics · Plant research
Compare gene expression under salt stress
Follow a rice RNA-seq analysis from count data to differential expression and functional interpretation.
Read case studyRun bioinformatics analyses with the tools and compute already in place.
Go from biological data to results you can inspect. Pipette plans and runs analyses across genomics, transcriptomics, drug design, and more, with the methods and code alongside the outputs.
Your analysis, step by step
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PlanReview the approach before execution
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RunTools and workflows on managed compute
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InspectResults, methods, parameters, and code
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ContinueAsk a follow-up with the analysis in context
Different data. Different methods. One place to run them.
Genomics, transcriptomics, single-cell analysis, ChIP-seq, proteomics, metagenomics, genomic prediction, and molecular docking. Explore a few worked examples below.
Proteomics
Compare protein responses to drug treatment
See how a HepG2 proteomics workflow ranks perturbations and examines changes in protein abundance.
Read case study
Molecular docking
Inspect candidate docking poses
Review imatinib docking against ABL1 crystal structure 2HYY, with pose scores, residue contacts, and the unresolved RMSD validation check.
Read case studyYou guide the analysis. Pipette handles the execution.
Review the approach, follow the work, and examine what comes back.
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Set the goal and review the plan
Provide your data and describe the comparison, model, or result you need. Review the proposed tools and steps before the analysis runs.
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Run on managed compute
Pipette brings together the required tools and execution environment. You do not need to install software or configure servers for supported workflows.
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Examine the evidence
Inspect figures, tables, methods, and code. Check the assumptions and limitations before deciding what the result means for your research.
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Build on the result
Ask a follow-up, refine a comparison, or take the analysis in another direction with its inputs and previous work in context.
Data size and active-workspace limits depend on your plan. View pricing and capacity.
See how the result was produced.
An analysis is more useful when you can inspect its methods, review its outputs, and take the work with you.
InputsData and reference resources
MethodsAnalysis steps and parameters
ExecutionCode and software versions
ResultsFigures, tables, and output files
ReportFindings and interpretation
For data handling, encryption, and retention details, read our Security page.
Working with a lab or research team?
Pipette Lab brings shared projects, handoffs, and team billing into the picture. Explore the collaboration features and routes to adoption.
Before your first analysis
Pipette supports general-purpose bioinformatics, including genomics, transcriptomics, single-cell analysis, ChIP-seq, proteomics, metagenomics, genomic prediction, and molecular docking. The tools, input requirements, and interpretation depend on the analysis; published case studies show worked examples.
No local tool installation or server setup is needed to run supported analyses in Pipette. Tools and workflows run on managed compute. Input and active-workspace limits depend on your plan and are listed on the Pricing page.
The agent helps turn your goal into an analysis plan and runs the required tools. You review the plan before execution and can request changes. If execution needs to deviate from the approved plan, Pipette requests approval or a plan amendment. You can inspect the methods and outputs to assess the result.
Pipette provides methods, parameters, software versions, code, and downloadable outputs to support reproduction. Running the analysis elsewhere also requires the relevant input data, reference resources, dependencies, and compute environment.
Put Pipette to work on your data.
Start with 20 free credits per month.