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www.breedinginsight.org - Breeding Insight at Cornell University will leverage recent improvements in genomics and open source informatics components, and in partnership with small breeding programs, will enable these programs to harness  powerful digital...

help.rc.ufl.edu - More at https://help.rc.ufl.edu/doc/Kmer This also includes: A2Amapper: ATAC, Assembly to Assembly Comparision tool: Comparative mapping between two genome assemblies (same species), or between two different genomes (cross...

jokergoo.github.io - Upset plots are a type of visualization used to analyze the intersection of sets or categories. They are particularly useful for displaying data with multiple categories and analyzing their overlaps. In an upset plot, each row represents a category...

biokit.readthedocs.io - BioKit is a set of tools dedicated to bioinformatics, data visualisation (biokit.viz), access to online biological data (e.g. UniProt, NCBI thanks to bioservices). It also contains more advanced tools related to data analysis...

By using plenv, you can easily install and switch among different version of Perl. This will be installed under your home directory in~/.plenv.

It's been a while since I last installed BLAT and when I went to the download directory at UCSC: http://users.soe.ucsc.edu/~kent/src/ I found that the latest blast is now version 35 and that the code to download was: blatSrc35.zip....

Python and BioPython for beginners

pypi.python.org - Orange Bioinformatics extends Orange, a data mining software package, with common functionality for bioinformatics. The provided functionality can be accessed as a Python library or through a visual programming interface (Orange Canvas). The latter...

scikit-learn.org - Machine Learning in Python Simple and efficient tools for data mining and data analysis Accessible to everybody, and reusable in various contexts Built on NumPy, SciPy, and matplotlib Open source, commercially usable - BSD license More...

Python is a general-purpose language, which means it can be used to build just about anything, which will be made easy with the right tools/libraries. Professionally, Python is great for backend web development, data analysis, artificial...