From 0f8f96fc69476de049c21b983d7250d6a1b58dcb Mon Sep 17 00:00:00 2001 From: Pascal Maas Date: Sun, 4 Oct 2026 21:22:25 +0200 Subject: [PATCH] typo fix --- topics/starting-a-blog.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/topics/starting-a-blog.md b/topics/starting-a-blog.md index cd754ac..0f88dc4 100644 --- a/topics/starting-a-blog.md +++ b/topics/starting-a-blog.md @@ -6,7 +6,7 @@ date: 2026-10-04 Hi there! This is my first post in hopefully many. I'm Pascal and work as a bioinformatician in the field of metabolomics. I studied bioinformatics, getting my master degree in 2020 at the University of Amsterdam and since then I work at the Metabolomics Analytical Centre, which is part of the University of Leiden. Here I develop software to support the data analysis of large volumes of samples. This however, remains a challenge for reasons that hopefully become clear through posts on this blog. Ofcourse, I will also attempt to provide solutions for practical challenges I've encounted. -I decided to start this blog to share my experience with data analysis in metabolomics as publishing articles is a slow process, and might not be the right platform for sharing everyday encounters. I've been enjoying reading other blogs like [yet another metabolomics club](https://metabolomics.blog) & [Notes from a data witch](https://blog.djnavarro.net), and it seemed the right fit to share my thoughts, ideas and code snippets. I'll post those to my [git](https://git.pascal-maas.nl/explore/repos). Except to see code mostly written in R, Python and perhaps some C++. +I decided to start this blog to share my experience with data analysis in metabolomics as publishing articles is a slow process, and might not be the right platform for sharing everyday encounters. I've been enjoying reading other blogs like [yet another metabolomics club](https://metabolomics.blog) & [Notes from a data witch](https://blog.djnavarro.net), and it seemed the right fit to share my thoughts, ideas and code snippets. I'll post those to my [git](https://git.pascal-maas.nl/explore/repos). Expect to see code mostly written in R, Python and perhaps some C++. In the office I'm known for drinking way too much coffee (although I don't see anything wrong with my consumption..). For this reason I called the light/dark mode after coffee drinks and themed the blog as such. I'm genuinely curious how big the caffeine spike would be on our LC-MS systems, but since the assay uses plasma it will remain a mystery to this day. Perhaps DBS based metabolomics would be my best bet..