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# Best of Biotech — 2024

1. 1  
[](/posts/mojo-is-faster-than-rust-prczoeqfg "Mojo Is FASTER Than Rust")  
Video  
![Avatar of primeagen](https://media.daily.dev/image/upload/s--J5-GjDeo--/f_auto/v1704628081/logos/primeagen.jpg)ThePrimeTime · 3y  
Mojo Is FASTER Than Rust  
Mojo is a fast and efficient tool for bioinformatics tasks, outperforming Rust in DNA sequencing parsing benchmarks. It offers a pythonic language that allows programmers to optimize at a low level, unifying the fragmentation in fields such as AI learning. Mojo's first-class support of simd vectorization provides substantial performance gains. While still growing, Mojo shows great potential as a powerful tool for python programmers wanting to write more performant code.  
38
2. 2  
[](/posts/dashboards-in-python-with-streamlit-pr94sowvz "Dashboards in Python with Streamlit")  
Article  
![Avatar of planetpython](https://media.daily.dev/image/upload/t_logo,f_auto/v1/logos/eac3cc584cb043b5a242d13752bd3d0c)Planet Python · 2y  
Dashboards in Python with Streamlit  
A discussion with Channin Nantasenamat covers Python and the Streamlit web framework, teaching bioinformatics, differences in data science disciplines, and his experiences as a YouTuber.  
28
3. 3  
[](/posts/performance-of-rust-s-match-vs-lookup-tables-jbhoeotnb "Performance of Rust's match vs. lookup tables")  
Article  
![Avatar of lobsters](https://media.daily.dev/image/upload/s--tl8v_Fku--/f_auto,t_logo/v1698841318/logos/lobste.jpg)Lobsters · 2y  
Performance of Rust's match vs. lookup tables  
The post explores the performance differences between using Rust's \`match\` statements and lookup tables for certain bioinformatics algorithms, particularly focusing on how different methods perform in specific tasks. Through detailed benchmark tests and analysis of generated assembly and LLVM IR code, it concludes that inlined lookups are generally faster due to requiring fewer instructions. Additionally, the use of the \`lazy\_static\` crate introduces overhead that can affect performance measurements.  
14  
1
4. 4  
[](/posts/graph-neural-networks-fraud-detection-and-protein-function-prediction-znbijbusi "Graph Neural Networks: Fraud Detection and Protein Function Prediction")  
Article  
![Avatar of medium_js](https://media.daily.dev/image/upload/t_logo,f_auto/v1/logos/medium)Medium · 2y  
Graph Neural Networks: Fraud Detection and Protein Function Prediction  
Graph Neural Networks (GNNs) are a powerful alternative for modeling relational data in financial networks and protein structures, which are complex and not well-represented in Euclidean space. GNNs capture relationships between entities more effectively than traditional deep learning architectures, making them crucial for tasks such as fraud detection and protein function prediction. GNNs use message-passing frameworks to update node embeddings based on aggregated features from neighboring nodes, ultimately improving detection and prediction accuracy in various applications.  
14
5. 5  
[](/posts/this-san-francisco-startup-is-mandating-a-six-day-workweek-6wqsoyfi8 "This San Francisco startup is mandating a six-day workweek")  
Article  
![Avatar of community](https://media.daily.dev/image/upload/t_logo,f_auto/v1655817725/logos/community)Community Picks · 2y  
This San Francisco startup is mandating a six-day workweek  
San Francisco startup LatchBio has implemented a six-day workweek for its employees, aiming to boost productivity and achieve startup success. This decision has faced criticism amidst a trend of reducing workdays for better mental health and efficiency. High-profile tech investors support similar work schedules typical in China. Despite this, the six-day workweek is rare, with companies like Samsung and Greece recently adopting it in certain contexts. LatchBio's CEO claims it was a team decision, and the company offers benefits like unlimited PTO and weekly meals to offset the demanding schedule.  
10  
7

[See all Biotech archives](/tags/biotech/best-of)

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