================= Helpful resources ================= Learning Python --------------- * Python for Biologists: http://pythonforbiologists.com/ * `Practical Computing for Biologists `__ This is a highly recommended book for people looking for a systematic presentation on shell scripting, programming, UNIX, etc. Shell tutorials and references ------------------------------ https://github.com/JorySchossau/shell http://explainshell.com/ * `Biostar `__ A high quality question & answer Web site. * `SEQanswers `__ A discussion and information site for next-generation sequencing. * `Software Carpentry lessons `__ A large number of open and reusable tutorials on the shell, programming, version control, etc. Additional Web sites -------------------- The NGS course tutorials: http://ged.msu.edu/angus/tutorials-2013/ UW Seattle "zero entry" workshop: http://2013-uw-zero-entry.readthedocs.org/ Recommended books and other resources ------------------------------------- * `Practical Computing for Biologists `__ This is a highly recommended book for people looking for a systematic presentation on shell scripting, programming, UNIX, etc. Computing and Data ------------------ * `A Quick Guide to Organizing Computational Biology Projects `__, Noble, PLoS Comp Biology, 2009. * `Willingness to Share Research Data Is Related to the Strength of the Evidence and the Quality of Reporting of Statistical Results `__, Wicherts et al., PLoS One, 2011. * `Got replicability? `__, McCullough, Economics in Practice, 2007. Also see this great pair of blog posts on `organizing projects `__ and `research workflow `__. Other Links =========== Humor ----- * `Data Sharing and Management Snafu in 3 Short Acts `__ Blogs ----- * http://www.genomesunzipped.org/ Genomes Unzipped. * http://ivory.idyll.org/blog/ Titus's blog. * http://bcbio.wordpress.com/ Blue Collar Bioinformatics * http://massgenomics.org/ Mass Genomics * http://blog.nextgenetics.net/ Next Genetics * http://gettinggeneticsdone.blogspot.com/ Getting Genetics Done * http://omicsomics.blogspot.com/ Omics! Omics!