✅ Manage your projects
✨

✅ Manage your projects

Oct 23, 2023·
Cheng-Hung Tsai
Cheng-Hung Tsai
· 2 min read
Image credit: Unsplash
blog

Easily manage your projects - create ideation mind maps, Gantt charts, todo lists, and more!

Ideation

Hugo Blox supports a Markdown extension for mindmaps.

Simply insert a Markdown code block labelled as markmap and optionally set the height of the mindmap as shown in the example below.

Mindmaps can be created by simply writing the items as a Markdown list within the markmap code block, indenting each item to create as many sub-levels as you need:


```markmap {height="200px"}
- Hugo Modules
  - Hugo Blox
  - netlify
  - netlify-cms
  - slides
```

renders as

- Hugo Modules
  - Hugo Blox
  - netlify
  - netlify-cms
  - slides

Diagrams

Hugo Blox supports the Mermaid Markdown extension for diagrams.

An example Gantt diagram:

```mermaid
gantt
section Section
Completed :done,    des1, 2014-01-06,2014-01-08
Active        :active,  des2, 2014-01-07, 3d
Parallel 1   :         des3, after des1, 1d
Parallel 2   :         des4, after des1, 1d
Parallel 3   :         des5, after des3, 1d
Parallel 4   :         des6, after des4, 1d
```

renders as

gantt section Section Completed :done, des1, 2014-01-06,2014-01-08 Active :active, des2, 2014-01-07, 3d Parallel 1 : des3, after des1, 1d Parallel 2 : des4, after des1, 1d Parallel 3 : des5, after des3, 1d Parallel 4 : des6, after des4, 1d

Todo lists

You can even write your todo lists in Markdown too:

- [x] Write math example
  - [x] Write diagram example
- [ ] Do something else

renders as

  • Write math example
    • Write diagram example
  • Do something else

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Cheng-Hung Tsai
Authors
Postdoctoral Researcher@Stajich Lab

I am a Bioinformatician and Computational Biologist with a Ph.D. from UC Riverside, specializing at the intersection of evolutionary biology, large-scale genomics, and high-performance software engineering.

My research leverages computational algorithms and statistical methods to investigate genome evolution, structural variation, and microbial diversity across comparative genomics and metagenomics datasets. In parallel, I develop and apply machine learning and deep learning models to predict regulatory features and analyze complex epigenomic patterns. I am passionate about engineering open-source bioinformatics software and automated workflows that scale seamlessly from local workstations to high-performance computing (HPC) clusters.

Having started my career at the bench in molecular biology before transitioning to computational research, I design software with a practical understanding of both the underlying biology and the data it produces.