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Author(s): James Gillis, Bashar Fakhreddin

Welcome to the official wiki for DataSeq — a web-based solution designed to simplify the pre-processing of High-Throughput Sequencing (HTS) data.

This Home page introduces the product and provides a Table of Contents linking to other pages of the wiki.

Team Members

• Bryan Hawickhorst – Project Lead/Back-End Developer
• Thomas Carey – Front-End Developer
• Bashar Fakhreddin – Back-End Developer
• James Gillis – Front-End Developer
• Griffin Kline – Back-End Developer
• Lee Logan – Documentation Specialist

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Table of Contents

• Glossary & Definitions
• References
• User Interface Overview
• Pre-processing Pipelines

 Interfaces(Pages)

• Account Page
• Pre-Processing Page
• Downloads Page
• Feedback and Support Page

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Project Introduction

DataSeq addresses a critical pain point in modern biological research: the complexity of pre-processing HTS data. High-throughput sequencing (HTS) also generates massive, complex datasets that require specialized bioinformatics knowledge to process.

Most existing tools for HTS data pre-processing require researchers to build pipelines, write scripts, and understand intricate software environments — tasks that can be error-prone and time-consuming.

DataSeq solves this by offering:

• A simple, clean graphical interface tailored to the needs of biologists and researchers.
• Pre-built preprocessing pipelines to eliminate the need for scripting or pipeline setup.
• Minimal user input with smart defaults and contextual customization.
• An experience that is focused on automation and ease-of-use, so researchers can focus on preprocessing data instead of preparing for preprocessing.

If you are preparing for downstream analysis, DataSeq is your lightweight, intuitive starting point for reliable, error-minimized HTS data pre-processing.