About Pipette.bio

Bioinformatics infrastructure, built from the analysis bottleneck.

Pipette.bio is developed by Variome Analytics to help researchers move from scientific intent to managed execution without losing methods, context, or control.

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The operating layer01—03
01
Scientific intentQuestions, data, and experimental context
02
Managed executionTools, workflows, compute, and review
03
Reproducible outputsMethods, parameters, code, reports, and provenance
Why we built Pipette

The hard part is not one command. It is keeping an analysis coherent.

Biological analysis is rarely a single tool call. Researchers must connect data preparation, method selection, environments, execution, interpretation, and reporting—then preserve enough context to explain or repeat the work later.

Pipette was built to manage that continuity. It plans and executes workflows while retaining the methods, parameters, software versions, code, outputs, and provenance that make scientific work inspectable.

The goal is not to hide the method. It is to make good methods easier to execute, inspect, and reuse.
Founder

Scientific experience behind the product

Pipette is shaped by work across genomics, computational biology, translational research, and scientific software.

Founder & Lead Scientist

Chirag Gupta, PhD

Chirag has more than 14 years of experience in computational biology. He earned his PhD in Computational Biology at the University of Arkansas, where his work included crop genomics and next-generation sequencing, and later conducted postdoctoral research in an AI lab focused on brain disease at the University of Wisconsin.

He founded Variome Analytics after repeatedly seeing wet-lab scientists and research teams lose time to fragmented analysis infrastructure, open-ended workflows, and difficult handoffs between experiments and computation.

LinkedIn profile Full biography
Operating principles

What guides the product

Automation should make scientific work more usable without making it less visible.

01

Scientific rigor

Methods and analytical decisions should remain open to inspection and scientific review.

02

Reproducibility

Parameters, versions, code, outputs, and provenance belong with the result—not in scattered notes.

03

User control

Researchers should be able to review, download, refine, and decide how analytical outputs are used.

04

Responsible automation

Pipette manages execution and continuity; scientific judgment and validation remain essential.

Technical work

Read the methods, architecture, and evidence

Explore how the platform is designed and how its scientific planning work is documented.

Platform

Architecture and operating model

See how scientific intent moves through planning, execution, review, and reproducible outputs.

Explore the platform → Research

The Bioinformatics Skill Graph

Read about the literature-derived planning layer behind Pipette and its published artifacts.

Read the technical article → Open work

Preprint and benchmarks

Review the public technical materials, benchmarks, and reproducible project artifacts.

View on GitHub ↗
Contact

Talk with the team behind Pipette.

Use the path that best matches what you want to discuss. Every route reaches the Pipette team.

Product and salesPlans, use cases, and team requirements SupportAccount, analysis, or product questions Security and data reviewControls, DPA scoping, and security questions Research and partnershipsScientific collaborations and technical partnerships