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input for #10 update bioimaging informatics
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docs/_pages/subjectguide/biology.md

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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
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* Python
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* R
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* Java
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* minor c++
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* 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
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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
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* NAR
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* PLoS
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* eLife
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* 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
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* https://www.reddit.com/r/bioinformatics/
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* https://global.oup.com/academic/product/introduction-to-protein-science-9780198716846
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* https://web.stanford.edu/~hastie/ElemStatLearn/
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* https://www.biostars.org/
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* an overview of curated tools from the literature https://bio.tools/
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#### Python
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- pypi
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- (bio)conda
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- https://biopython.org/
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#### R
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- CRAN/MRAN
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- Bioconductor
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#### Java
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- mvn
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- https://biojava.org/
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#### C++
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- conan.io
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- http://biocpp.sourceforge.net/
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#### Rust
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### Introductory books
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- https://global.oup.com/academic/product/introduction-to-bioinformatics-9780198794141
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### Communities
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- ELIXIR
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### commercial companies
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- Qiagen
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- 10X Genomics
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- 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
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* 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
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- Journal of Microscopy
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- computer science journals for algorithmic approaches
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### main topics and challenges
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- 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)
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- plugins
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- centralised repo
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### specific skill sets
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- image processing
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- image analyis
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- general algoritms for Machine Learning and Deeplearning
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### specific tools list
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- Cell Profiler
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- cytomine
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- qpath
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- ilastik
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- 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
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- Global Bioimaging
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- Neubias http://eubias.org/NEUBIAS/ or follow-up conference series
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- https://www.youtube.com/channel/UC-oy7UpEhRfHQ-5ePCviKFg
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- https://forum.image.sc/about
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### general tips
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- not scared if you do not have biology background
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- strong need for RSEs in the field at the moment

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