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Bioinformatics courses, workshops or training
132
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14 months ago
Deepak Tanwar ♦ 3.9k
ETH Zürich, Switzerland

There are several posts already on Biostars regarding the online courses which we could take for bioinformatics. I try to link all together and also included some websites, where the earlier workshops materials could be found::

  1. https://www.biostars.org/p/79845/

2. https://www.biostars.org/p/10766/

  1. https://www.biostars.org/p/142382/

  2. https://www.biostars.org/p/2676/

  3. https://www.researchgate.net/post/Is_there_any_online_bioinformatics_course_available

  4. http://bioinformatics.ca/workshops/2015

  5. https://www.ebi.ac.uk/training/

  6. https://www.isb-sib.ch/training.html

  7. https://share.coursera.org/wiki/index.php/Main_Page

  8. http://www.genomicseducation.hee.nhs.uk/

  9. http://cmb.path.uab.edu/pages/training.html

  10. https://www.biostars.org/p/43092/

  11. http://www.chromosomewalk.ch/

  12. http://stephenturner.us/edu.html

  13. http://en.wikipedia.org/wiki/List_of_free_online_bioinformatics_courses

  14. http://work.caltech.edu/telecourse.html

**UPDATE**

  1. https://www.udacity.com/

  2. https://www.edx.org/

  3. https://www.khanacademy.org/

  4. http://www.rosalind.info/

  5. http://www.mygoblet.org/

  6. http://www.elixir-europe.org/

  7. http://stephenturner.us/p/edu

  8. http://ged.msu.edu/angus/bioinformatics-courses.html

  9. http://pythonforbiologists.com/

**UPDATE: May, 2015**

  1. http://www.genome.gov/12514288

  2. http://biology.umd.edu/bioinformatics-crash-course---july-2014.html

  3. http://ged.msu.edu/angus/tutorials-2013/

  4. http://blog.goldenhelix.com/grudy/a-hitchhikers-guide-to-next-generation-sequencing-part-1/

  5. http://chagall.med.cornell.edu/NGScourse/

  6. http://bioinformaticsonline.com/bookmarks/view/3868/next-generation-sequencing-ngs-tutorials

  7. http://darlinglab.org/tutorials/

  8. http://manuals.bioinformatics.ucr.edu/

  9. http://ngs-expert.com/tag/tutorial/

  10. http://rcourse.iop.kcl.ac.uk/2014/index.html

36. https://www.biostars.org/p/123728/

**UPDATE: June, 2015**

37. SIB Tutorials

38. Resources listed by The Griffith Lab

39. Babraham Bioinformatics

  1. https://www.biostars.org/p/103074/

41. Courses at Texas

  1. Online Bioinformatics Resources Collection

43. edx courses

  1. https://www.biostars.org/p/97181/

**UPDATE: July, 2015**

45. Python for biologists

46. R cheatsheat

47. Data Visualization with ggplot 2

48. Ggplot2 cheatsheat

49. Beautiful plotting in R

**UPDATE: September, 2015 **

50. MIT OpenCourseWare

**UPDATE: December, 2015 **

51. Co-op/Internships and Summer Research Opportunities

**UPDATE: January, 2016**

52. Swiss Institute of Bioinformatics Training Portal

53. Git and Github

**UPDATE: February, 2016**

54. Understanding Evolution

**UPDATE: March, 2016**

55. http://www.treschgroup.de/lecturestalks.html

56. [Software Carpentry][1]

57. [ARCHER][2]

**UPDATE: May, 2016**

58. [Google C++ Guide][3]

**UPDATE: June, 2016**

59. [Nature Computational Biology Primer collection][4].

60. https://www.biostars.org/p/174376/.

61. [Swiss Institute of Bioinformatics Virtual Computational Seminar series][5].

**UPDATE: January, 2017**

62. [Why you should master R (even if it might eventually become obsolete)?][6].

63. [Why R is the best data science language to learn today][7].

64. [Introduction to Probability and Statistics Using R][8].

65. [The Basics of Bayesian Statistics][9].

**UPDATE: March, 2017**

66. [Statistics for Biologists.][10]

**UPDATE: August, 2017**

67. [HarvardX Biomedical Data Science Open Online Training.][11]

68. [Self paced Data Science course.][12]

**UPDATE: May, 2018**

69. [Systems Biology Course 2018][13] [1]: http://software-carpentry.org/ [2]: https://www.archer.ac.uk/training/past_courses.php [3]: https://google.github.io/styleguide/cppguide.html [4]: http://www.nature.com/nbt/collections/compbio/index.html [5]: https://www.youtube.com/playlist?list=PLoCxWrRWjqB1JUCntl4X09ezmOtKx1Gke [6]: https://www.r-bloggers.com/why-you-should-master-r-even-if-it-might-eventually-become-obsolete/ [7]: https://www.r-bloggers.com/why-r-is-the-best-data-science-language-to-learn-today/ [8]: https://cran.r-project.org/web/packages/IPSUR/vignettes/IPSUR.pdf [9]: https://www.r-bloggers.com/the-basics-of-bayesian-statistics/ [10]: http://www.nature.com/collections/qghhqm [11]: http://rafalab.github.io/pages/harvardx.html [12]: https://www.linkedin.com/pulse/self-taught-data-scientist-curriculum-lillian-pierson-p-e- [13]: http://www.weizmann.ac.il/mcb/UriAlon/download/systems-biology-course-2018

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7
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Thank you Deepak for your contribution. Its a great help!

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4
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Welcome :-)

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3
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The coursera link is a bit outdated, here is a new one: https://www.coursera.org/courses?query=bioinformatics

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2
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sorry,

for this course i should pay, do you know courses like this but free one?

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5
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Are you talking about the Coursera courses?

These are absolutely free, as far as I know. You only have to pay, if you want to earn a certification.

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i applied for coursera but just found 1 min description about course which i had clicked on after that i think demanded money...

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3
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Please, paste the link here.

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https://www.coursera.org/course/rprog

i found just 1 min about R in a video after that nothing

or here https://www.coursera.org/course/pythonlearn

there just 2 min introduction, then where is the course itself?

sorry Deepak for first link i pasted above i could find some videos right now...i think i should search thoroughly...

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3
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On the right side of the page, you could see the session. You should select the session. If you select the previous sessions, you could see the videos of previous lectures.

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thank you, you know i applied for coursera long time ago but thinking it is not free left searching more in coursera website!

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I don't know if this is the right place to ask but, anyone know any javascript courses (if possible oriented to biology but it's not a must) for data visualization and these kind of issues? Thanks :-)

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5
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Have you tried Code School ?

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This can also be helpful to many people looking at this page, since I got a lot of positive response from people after posting the workflow :)

https://www.biostars.org/p/123728/

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3
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It is, indeed!

I think you didn't checked the links. I mentioned it in link 36.

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1
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Oh! No I didn't in fact. I was not expecting cuz. That's a lot of time and effort precisely gathering all these info together. I appreciate that.

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0
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man ham dar R kamelan mobtadi hastam Parham,

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hich moshkeli nist sarah manam mobtadiam. see if the link I shared can do any help :)

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1
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Ako sa o angličtinu ?
Enta Englanti ?
Kā par angļu?
What about english?

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2
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Tā skaista valoda!

Se on kaunis kieli!

To je lep jezik!

:)

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1
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merc...hope to learn R

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3
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ENGLISH please!

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ok sure Deepak

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its one great post..

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10
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13 months ago
Tempe, AZ | Biodesign Institute at ASU

This list above is great- I'll just add that the Bioconductor Project (an ecosystem of ~1000 packages for bioinformatics in R) has produced a series of very useful tutorial videos on youtube.

Bioconductor's youtube page is here; their introductory video is here: , which is a nice starting point for beginners.

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4
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Yes, it is!

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14 months ago
JohnBlue81 • 290
Norway

These courses are also nice, but not online. Nevertheless, I heard that they are working on an online workshop platform!

Link: http://www.ecseq.com/training.html

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5
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14 months ago
Lesley Sitter • 460
Netherlands

Although this is not hard-core Bioinformatics tutorials, Rosalind is a great site to teach noobs like me the basics of bioinformatics.
There is a tree of bioinformatic problems that you have to solve using Python, each with explanations, test datasets etc.
And when you complete an assignment it unlocks harder problems.

http://rosalind.info/problems/tree-view/

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17 months ago
A. Domingues ♦ 2.1k
Mainz, Germany

Not specifically for bioinformatics, but the software carpentry courses should be on the list. They are particularly useful for wet-lab people who started or is starting to analyse data and need to learn bash, python, and specially good software design practices. Also the courses are free as in beer and free as in speech.

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I have added the course to the list! Thank you for suggestion.

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I could not find the train online platform from the EMBL-EBI in your list. We've got loads of courses in there, some conceptual others with hands-on and use case scenarios, and also webinars. From 'DNA & RNA' to 'Chemical biology'. More adding to the current list as we speak!

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Oops, just spotted the link to the EMBL-EBI training page. Feel free to delete my post then.

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No worries Denise! EBI is one of the best training source and is the place where I want to work at least once in my lifetime. :-)

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4.1 years ago
radhika • 10

I would recommend bioinformatic training courses offered by Arraygen Technologies.

Please visit the site for more details: http://www.arraygen.com/workshop-training.php.

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12 months ago
Berlin

We are also offering bioinformatic training courses in Berlin. Please have a look at our website: https://www.physalia-courses.org/courses/

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It seems that some of the courses in the provided link are not FREE! These days people can find very many quality options from best universities all over the world for FREE.

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I don't see a problem about those courses not being free. It is true that there are some free courses, but I disagree that many quality _presential_ courses are free. People may also choose to pay for a course which is closer to home, instead to flying to a "free" course. If the courses listed are not clearly marked as fee-paying that you are absolutely right to complain, otherwise let those who want (and can) pay.

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Can you please point out some from the list? I have numbered all of them. I have attempted to have only free courses in the list, if you can point out, I will remove them. Thanks!

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Hi Deepak! I was replying to Carlo's post and not your list!

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Alright! got that! Thanks

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12 months ago
Berlin

I did not read that your post was just referring to free courses. Sorry for that. Instead about the quality of free vs. not free courses I totally agree with A. Domingues. Best.

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