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| how_to [2019/02/12 18:49] – [Encrypt a folder?] admin | how_to [2019/02/21 15:07] – [Install R locally (e.g. on a cluster)?] admin |
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| **Begin learning bioinformatics?** \\ | **Begin learning bioinformatics?** \\ |
| Take a course from the [[http://research.omicsgroup.org/index.php/List_of_free_online_bioinformatics_courses|list]] of free online bioinformatics courses e.g., the Computational Molecular Biology [[http://cmgm.stanford.edu/biochem218/index.html|Course]] at Stanford is broad and covers the classic topics but it is not updated, and may become outdated. The same is true for PLOS Translational Bioinformatics [[http://collections.plos.org/translational-bioinformatics|Collection]] of articles, which are more advanced. Most central topics are covered in some course from the European Bioinformatics Institute ([[https://www.ebi.ac.uk/training/online/course-list|EBI]]). Very useful training materials are available from [[https://www.mygoblet.org/|GOBLET]].\\ | Take a course from the [[http://research.omicsgroup.org/index.php/List_of_free_online_bioinformatics_courses|list]] of free online bioinformatics courses e.g., the Computational Molecular Biology [[http://cmgm.stanford.edu/biochem218/index.html|Course]] at Stanford is broad and covers the classic topics but it is not updated, and may become outdated. The same is true for PLOS Translational Bioinformatics [[http://collections.plos.org/translational-bioinformatics|Collection]] of articles, which are more advanced. Most central topics are covered in some course from the European Bioinformatics Institute ([[https://www.ebi.ac.uk/training/online/course-list|EBI]]). Very useful training materials are available from [[https://www.mygoblet.org/|GOBLET]]. Videos from the Models, Inference & Algorithms Initiative ([[https://www.broadinstitute.org/scientific-community/science/mia/models-inference-algorithms|MIA]]) at Broad are relatively advanced.\\ |
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| [[http://bioconductor.org/help/course-materials/|Bioconductor]] course material provides a walkthrough in specific areas. Also, you can find valuable resources from the [[http://stephenturner.us/edu.html|list]] of bioinformatics workshops and [[http://www.engr.uconn.edu/~mukul/cbc.htm|conferences]]. Following the "Bioinformatics for biologists [[:bioinformatics_for_biologist_workshop|workshop]]" does not require expertise in computer programing. Bio-Linux team prepared a good [[http://nebc.nerc.ac.uk/downloads/courses/Bio-Linux/bl8_latest.pdf|introduction]], which can be used as a reference too. If machine learning is new to you, [[http://www.nature.com/nrg/journal/v16/n6/full/nrg3920.html|read]] about its applications in genetics and genomics. You need to have some basic knowledge in [[https://www.coursera.org/learn/biostatistics?recoOrder=9&utm_medium=email&utm_source=recommendations&utm_campaign=recommendationsEmail~recs_email_2016_06_26_17%3A57|mathematics]] and statistics too. | [[http://bioconductor.org/help/course-materials/|Bioconductor]] course material provides a walkthrough in specific areas. Also, you can find valuable resources from the [[http://stephenturner.us/edu.html|list]] of bioinformatics workshops and [[http://www.engr.uconn.edu/~mukul/cbc.htm|conferences]]. Following the "Bioinformatics for biologists [[:bioinformatics_for_biologist_workshop|workshop]]" does not require expertise in computer programing. Bio-Linux team prepared a good [[http://nebc.nerc.ac.uk/downloads/courses/Bio-Linux/bl8_latest.pdf|introduction]], which can be used as a reference too. If machine learning is new to you, [[http://www.nature.com/nrg/journal/v16/n6/full/nrg3920.html|read]] about its applications in genetics and genomics. You need to have some basic knowledge in [[https://www.coursera.org/learn/biostatistics?recoOrder=9&utm_medium=email&utm_source=recommendations&utm_campaign=recommendationsEmail~recs_email_2016_06_26_17%3A57|mathematics]] and statistics too. |
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| ==== Encrypt a folder? ==== | ==== Encrypt a folder? ==== |
