Harris Analytics Institute

Cohort 2

Cohort 1

Q2 2026 Cohort

May 2026 cohort

Design a Bioinformatics Pipeline You Can Actually Use

Biomedical Informatics & Data Expert

Pfizer

Emergent

Davenportu

National University

Laura Harris, Ph.D.

Helps researchers turn messy data into clear, executable analysis and results.

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.

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.

Now What? How to Decide What Analysis to Run on Your Data

Co-founder/CEO, Harris Analytics Institute; Former Director of Training, MSU

Translate messy data into a focused question that directly guides your next step.

Turn your dataset into a clear analysis question

Design a pipeline detailing the steps to analyze your data

Build an analysis flowchart

Choose 1–2 reasonable tool options based on your data and what you want to learn.

Decide how to run an analysis on your data

Don’t Be Fooled: Drive Business Outcomes with ISO Standards

Sue Lhymn, Ph.D.

Sue Lhymn is an HRIS Manager with 25+ years in systems, data, and analytics.

Laura Harris is a systems and data scientist focused on ISO quality practice.

Be more efficient in working with stakeholders through customer focus, process and risk-based thinking.

Apply ISO quality principles in practical, everyday work.

Reduce ambiguity by defining requirements and expectations clearly.

Turn quality objectives into clear, actionable processes.

Continuously improve by managing requirements, processes, and controls consistently.

Learn directly from Harris Analytics Institute

Harris Analytics Institute

Workshops

Build a Bioinformatics Pipeline You Can Run on Your Own Data

Lightning Lessons

Now What? How to Decide What Analysis to Run on Your Data

Don’t Be Fooled: Drive Business Outcomes with ISO Standards

Drive Business Outcomes with ISO Quality Standards