Essential techniques to make a better Bioinformaticianbis.zju.edu.cn/download/Essential techniques...
Transcript of Essential techniques to make a better Bioinformaticianbis.zju.edu.cn/download/Essential techniques...
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Essential techniques to make a better Bioinformatician
Hongjun Chen2018/03/04
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Spring has come. Time to warm up!
For the past year I have collected some useful links especially helpful for bioinformatics coding and development.
By practice in production we enhance our abilities.
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Fast Guide for Coding
Learn X in Y minutes - Take a whirlwind tour of your next favorite language. (comprehensive)
❏ Home page:
https://learnxinyminutes.com/
❏ GitHub repo:
https://github.com/adambard/
learnxinyminutes-docs
❏ Multilingual documentations
including Chinese.
❏ Friendly to newcomers
❏ Further resources links
❏ Not recommended if you are
skilled at your interested
language
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If you are very busy...
Cheat sheet could save your time.
❏ Data science - https://www.datacamp.com/community/data-science-cheatsheets
❏ Popular R packages - https://www.rstudio.com/resources/cheatsheets/
❏ Bioinformatics Tool Intros - https://pwwang.gitbooks.io/bioinformatics-cheetsheet/
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Developing a New WebApp
❏ https://github.com/it-ebooks/w3school - A better sorted list from runoob.com
❏ https://docs.docker.com/ - We have a new server in which docker can run! So try docker!
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Bioinformatics Programming
ROSALIND
http://rosalind.info/problems/list-view/
A progressive programming platform by
solving bioinformatics problems.
It extremely kills time, and don’t spend
too much on it if you are not
undergraduates.
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Bioinformatics Programming
Take Python for example:
Bioinformatics programming using
Python
❏ Classic
❏ Comprehensive
❏ Detailed codes included
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Machine Learning & Deep Learning
❏ https://github.com/josephmisiti/awesome-machine-
learning/ - A curated list of awesome Machine
Learning frameworks, libraries and software.
❏ https://github.com/gokceneraslan/awesome-deepbi
o/ - A curated list of awesome deep learning
applications in the field of computational biology.
❏ https://github.com/hussius/deeplearning-biology/ -
A list of deep learning implementations in biology.
Nature 554, 555-557 (2018)
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Machine Learning & Deep Learninghttps://developers.google.cn/machine-learning/crash-course/ - Google's fast-paced, practical
introduction to machine learning. (Chinese available)
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Learning by Askinghttps://stackoverflow.com/questions/tagged/
bioinformatics - A community for
programmers.
https://bioinformatics.stackexchange.com/questi
ons/ - A community covers more areas, better
than Quora or Zhihu on professional questions.
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Bonus (not related with bioinformatics)
https://carbon.now.sh/ - Create and share beautiful images of your source code.
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Thank you!
Take a further step!