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Here are some links to resources for learning how to use some of the more common bioinformatics analysis tools.
|Bioconductor provides tools for the analysis and comprehension of high-throughput genomic data. This community-driven project has several resources for learning how to use the tools in the Bioconductor R packages, including example workflows, hands-on courses (including an introduction to R, the language of Bioconductor), and videos on the Bioconductor YouTube channel.|
|The CyVerse Learning Center has information about how to use the tools available at CyVerse (formerly the iPlant Collaborative), from creating an account to using APIs. The CyVerse wiki also has a growing list of tutorials for performing analyses on the CyVerse platform.|
|The Galaxy Project bioinformatics pipeline has several videos with screencasts of how Galaxy can be used. The Galaxy 101 project provides a hands-on tutorial for getting started with the resource. And finally, several community-contributed learning resources are also available.|
|NCBI has created several informational and training videos and made them available on the NCBI YouTube channel. These videos range from introductions of resources that are only a few minutes long to in-depth, multi-video series on using NCBI resources for next-generation sequencing analyses.|
|Trinity is a software suite for de novo transcriptome assembly. On the Trinity Wiki you can find a series of screencasts showing how Trinity is used. There is also an RNA-Seq Workshop, which provides hands-on experience using the Trinity analysis tools.|
The field of bioinformatics-related literature is vast, but here are a few useful overviews and some "classics" in the field:
A key skill in bioinformatics is the ability to interpret and write computer code for custom analyses. There are many resources for leaning how to write computer code, including online instruction, Software and Data Carpentry workshops, and University of Arizona courses. If you are just starting out, and want to learn how to write computer code for bioinformatic analyses, here are a few places to start: