ucdavis-bioinformatics-training.github.io - Our team offers custom bioinformatics services to academic and private organizations. We have a strong academic background with a focus on cutting edge, open source software. We replicate standard analysis pipelines (best practices) when...
www.digitalocean.com - The mod_rewrite module uses a rule-based rewriting engine, based on a PCRE regular-expression parser, to rewrite requested URLs on the fly. By default, mod_rewrite maps a URL to a filesystem path. However, it can also be used to...
www.modernstatisticswithr.com - This is the online version of the second edition of Modern Statistics with R. It is free to use, and always will be. Printed copies are available from CRC Press.
Live online courses on statistics with R based on this book,...
bioinformatics-core-shared-training.github.io - One of the best tutorial for beginners ...
https://bioinformatics-core-shared-training.github.io/cruk-summer-school-2017/Day1/Session4-seqIntro.html
bioinfologics.github.io - What is a k-mer anyway? A k-mer is just a sequence of k characters in a string (or nucleotides in a DNA sequence). Now, it is important to remember that to get all k-mers from a sequence you need to get...
carpentries-incubator.github.io - A lesson introducing the Snakemake workflow system for bioinformatics analysis.
Prerequisites
This is an intermediate lesson and assumes learners have already done some bioinformatics:
Familiarity with the BASH command shell, including...
www.mgc.ac.cn - GenomeComp is a tool for summarizing, parsing and visualizing the genome wide sequence comparison results derived from voluminous BLAST textual output, so as to locate the rearrangements, insertions or deletions of genome segments between species or...
www.cmbb.arizona.edu - CrusView is a java based tool for karyotype/genome visualization and comparison of crucifer Species. It also integrates an binary version of KGBassembler and a post-modification step for its assembling result.
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
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