Re:A look at the Mojo language for bioinformatics
by fwip on Sunday February 11, 2024 @05:14PM
(#39339284)
There's a few camps in bioinformatics, from what I've seen.
1) The fellows writing papers - usually these guys have PhDs. Usually a science-focused PhD.
2) Analysts - often have a background in mathematics, biology, or big-data. Success here can lead to an onramp to camp 1. Much of your time here is spent in interactive programming environments, like Jupyter notebooks.
3) Programmers - writing novel or faster bioinformatic tools, often in low-level languages like C++ or Rust. Sometimes you can get a paper out of these, especially if you have a CS background. There's increasingly room for higher-level tools though here too, so it starts to overlap with 2.
4) Pipeline programmers - people gluing analysis workflows together out of the tools written in low-level languages, often with a liberal helping of Unix command-fu. Often sort of an ad-hoc role, containing people from diverse backgrounds, from biology to sysadmin. (This is my current role).
5) Biology/wetlab - people running experiments in the lab, and want to analyze their own work, especially for QC purposes. Wild-west ad-hoc development practices.
1) The fellows writing papers - usually these guys have PhDs. Usually a science-focused PhD. 2) Analysts - often have a background in mathematics, biology, or big-data. Success here can lead to an onramp to camp 1. Much of your time here is spent in interactive programming environments, like Jupyter notebooks. 3) Programmers - writing novel or faster bioinformatic tools, often in low-level languages like C++ or Rust. Sometimes you can get a paper out of these, especially if you have a CS background. There's increasingly room for higher-level tools though here too, so it starts to overlap with 2. 4) Pipeline programmers - people gluing analysis workflows together out of the tools written in low-level languages, often with a liberal helping of Unix command-fu. Often sort of an ad-hoc role, containing people from diverse backgrounds, from biology to sysadmin. (This is my current role). 5) Biology/wetlab - people running experiments in the lab, and want to analyze their own work, especially for QC purposes. Wild-west ad-hoc development practices.