Skip to content

Commit

Permalink
Start article about experimental design
Browse files Browse the repository at this point in the history
  • Loading branch information
clbenoit committed Feb 8, 2024
1 parent d62a525 commit b312379
Showing 1 changed file with 43 additions and 0 deletions.
43 changes: 43 additions & 0 deletions docs/pages/blog/expdesign.mdx
Original file line number Diff line number Diff line change
@@ -0,0 +1,43 @@
---
layout: minimal
authors:
- "[cbenoit](www.linkedin.com/in/clement-benoit)"
date: 2024-02-15
---

# Experimental design in the context of next generation sequencing

## Introduction

Coming from a biotechnology background, I was sensitized to the problems of experimental design. I then spent a few years as a bioinformatician, leaving this task to my platform colleagues.

As a bioinformatician, you focus on producing quality pipelines and algorithms for processing sequencer output.
But we sometimes forget that, without good experimental design, we run the risk of being unable to draw conclusions,
or even of unwittingly producing false positives. <br />

Here's a brief overview of the main considerations for experience designers.

## Next generation sequencing specificities

We need to bear in mind that everything starts with biological material, from which we want to extract <b>informative</b> biological sequences, to answer a precise question.
The difficulty lies in extracting useful information without confusing it with other factors: background noise, bias...

The sample is first taken from its environment, by which it will have been impacted.
The interaction of the biological material with its environment,
as well as the sampling carried out, already constitute a first source of variance.

# Methodology

1. **Clearly define the question posed and the technology chosen to answer it.**
2. **Control the experimental variables** <br/>
Variables to control can include sample preparation techniques, sequencing parameters and environmental conditions. Ensure that the impact of this factors
on your data is minimized and controled to isolate the impact of the specific variables of interest, enhancing ythe reliability of the results.
3. **Randomization techniques**
4. **Replication Strategies**




{/* [^1], [^2], [^3] */}

{/* [^1]: Doe, J., & Smith, A. (Year). *Title of the Publication*. **Journal Name**, Volume(Issue), Page Range. [DOI](https://doi.org/xxxx) */}

0 comments on commit b312379

Please sign in to comment.