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input for #10 update bioimaging informatics
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# Biology | ||
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## Bioinformatics | ||
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Major languages: | ||
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for tools and also web-development efforts | ||
* Python | ||
* R | ||
* Java | ||
* minor c++ | ||
* lately some poeple are big advocats of Rust | ||
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for web development,a lot of different web technology stacks are used ranging for older stacks to the latest and greatest with React.js, Vue, etc | ||
Q: should we try to get some ideas on what is used most? I'll check if I can find some overview publication (eWorkbench?) | ||
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A lot of emphasis is put on enabling Reproducible Research lately. This includes container technologies like Docker and workflow systems like Nextflow, snakemake which are the most popular ones. | ||
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### Typical journals | ||
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A lot of work is published in the following journals: | ||
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* Bioinformatics | ||
* NAR | ||
* PLoS | ||
* eLife | ||
* JOSS | ||
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Furthermore, an enormeous amount of articles about bioinformatics software are published on bioarxiv before actual publication via the said journals. | ||
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### Resources | ||
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* https://github.com/danielecook/Awesome-Bioinformatics | ||
* https://www.reddit.com/r/bioinformatics/ | ||
* https://global.oup.com/academic/product/introduction-to-protein-science-9780198716846 | ||
* https://web.stanford.edu/~hastie/ElemStatLearn/ | ||
* https://www.biostars.org/ | ||
* an overview of curated tools from the literature https://bio.tools/ | ||
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#### Python | ||
- pypi | ||
- (bio)conda | ||
- https://biopython.org/ | ||
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#### R | ||
- CRAN/MRAN | ||
- Bioconductor | ||
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#### Java | ||
- mvn | ||
- https://biojava.org/ | ||
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#### C++ | ||
- conan.io | ||
- http://biocpp.sourceforge.net/ | ||
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#### Rust | ||
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### Introductory books | ||
- https://global.oup.com/academic/product/introduction-to-bioinformatics-9780198794141 | ||
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### Communities | ||
- ELIXIR | ||
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### commercial companies | ||
- Qiagen | ||
- 10X Genomics | ||
- https://en.wikipedia.org/wiki/List_of_bioinformatics_companies | ||
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## Bioimaging | ||
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Major languages: | ||
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for tools and also web-development efforts | ||
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* Java | ||
* Python, more specifically Machine Learning and Deeplearning | ||
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* web development | ||
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### Typical journal | ||
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- Nature Methods | ||
- Journal of Microscopy | ||
- computer science journals for algorithmic approaches | ||
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### main topics and challenges | ||
- big data and performance | ||
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- bioformats / open and closed source image file formats | ||
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- open-source tools centered around ImageJ (Fiji) | ||
- plugins | ||
- centralised repo | ||
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### specific skill sets | ||
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- image processing | ||
- image analyis | ||
- general algoritms for Machine Learning and Deeplearning | ||
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### specific tools list | ||
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- Cell Profiler | ||
- cytomine | ||
- qpath | ||
- ilastik | ||
- imageJ/Fiji | ||
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commerical tools imaris, | ||
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microscope vender software | ||
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### communities | ||
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- Euro BioImaging | ||
- Global Bioimaging | ||
- Neubias http://eubias.org/NEUBIAS/ or follow-up conference series | ||
- https://www.youtube.com/channel/UC-oy7UpEhRfHQ-5ePCviKFg | ||
- https://forum.image.sc/about | ||
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### general tips | ||
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- not scared if you do not have biology background | ||
- strong need for RSEs in the field at the moment |