Build a Bioinformatics Pipeline You Can Run on Your Own Data
Laura Harris, Ph.D.
Biomedical Informatics & Data Expert
Design a Bioinformatics Pipeline You Can Actually Use
Many researchers and analysts reach the same frustrating point: you have data, but you are not sure what to do next. You may have learned individual tools or methods, but turning them into a clear, repeatable analysis pipeline feels overwhelming.
This workshop focuses on that missing step. Instead of focusing on individual tools, you will learn how to translate your dataset into a concrete analysis question, map the exact steps needed to answer it, and choose methods and tools you can realistically run. By the end, you will have a structured plan for analyzing your own data, not just a collection of disconnected techniques.
If you have ever felt stuck between “I have data” and “I have results,” this session will help you move forward with clarity and confidence. You will leave with a pipeline you can run, adapt, and reuse, along with a framework for making better analysis decisions in future projects.
What you’ll learn
Turn your data and research goals into a practical analysis strategy you can confidently put into action.
Translate a broad research goal into a focused question that your data can realistically address.
Identify required inputs, quality concerns, missing information, and potential limitations before choosing a method.
Define the major stages of your analysis, from data preparation through interpretation.
Compare suitable options based on your data type, research question, technical experience, and available resources.
Identify key decision points, dependencies, and potential obstacles before beginning the analysis.
Leave with a clear sequence of next steps for starting, refining, or troubleshooting your project.
Workshop agenda
09:00 AM: Welcome and Introductions
Get to know your instructor and classmates.
09:15 AM: Turn your dataset into a clear analysis question
Translate your data and research goals into a focused question that guides your next steps.
09:45 AM: Break
Take a break, connect with your instructor and classmates, and discuss research interests or project ideas.
09:50 AM: Design a pipeline you can actually execute
Map the steps, inputs, outputs, and decisions needed to analyze your data.
10:20 AM: Break
Pause to reflect on your pipeline, raise questions, and talk through any challenges before the final session.
10:30 AM: Choose tools and methods that fit your data
Evaluate practical tool and method options based on your data, question, and experience level.
12:00 PM: Closing and next steps
Review your pipeline and identify what to do after the workshop.
1:00–5:00 PM: Individual consultations by appointment
Each participant may schedule a one-hour, one-on-one consultation.
Learn directly from Laura
Laura Harris, Ph.D.
Helps researchers turn messy data into clear, executable analysis and results.
Who this workshop is for
Researchers or grad students with biological data who feel stuck turning it into a clear, executable analysis plan.
Early-career bioinformaticians or analysts who know some tools but struggle to connect them into a coherent workflow.
Scientists transitioning into computational work who want a practical framework to decide what analysis to run next.
What's included
Live sessions
Learn directly from Laura Harris, Ph.D. in a real-time, interactive format.
Instructor-guided implementation on your data
Work directly on your own dataset with guidance at each step. You’ll leave with a clear, structured analysis pipeline tailored to your data, not a generic example.
Lifetime access
Go back to course content and recordings whenever you need to.
Community of peers
Stay accountable and share insights with like-minded professionals.
Discount on 1:1 project consultation
Get a $50 discount on the hourly rate of 1:1 bioinformatics project consulting after completion of the workshop.
Certificate of completion
Share your new skills with your employer or on LinkedIn.
Maven Guarantee
Your purchase is backed by the Maven Guarantee.
Free resource
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Now What? How to Decide What Analysis to Run on Your Data
Turn your dataset into a clear analysis question
Translate messy data into a focused question that directly guides your next step.
Build an analysis flowchart
Design a pipeline detailing the steps to analyze your data
Decide how to run an analysis on your data
Choose 1–2 reasonable tool options based on your data and what you want to learn.
Frequently asked questions
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