BOL

github.com - SqueezeMeta is a full automatic pipeline for metagenomics/metatranscriptomics, covering all steps of the analysis. SqueezeMeta includes multi-metagenome support allowing the co-assembly of related metagenomes and the retrieval of individual genomes...

Genomics is the study of the genomes of organisms. The field includes intensive efforts to determine the entire DNA sequence of organisms and fine-scale genetic mapping efforts. The field also includes studies of intragenomic phenomena such as...

manuals.bioinformatics.ucr.edu - This tutorial is intended to introduce users quickly to the basics of R, focusing on a few common tasks that  biologists need to perform  some basic analysis:  load a table, plot some graphs, and perform some basic statistics. More...

www.mrc-lmb.cam.ac.uk - This is about how to use a computer to find what is known about a gene of interest and also how to get new insights about it. The tutorial is divided in three main parts: In the Sequence part, you will see how to look efficiently for a...

microscope.readthedocs.org - Microscope Platform user documentation. The MicroScope platform is available at this URL: https://www.genoscope.cns.fr/agc/microscope

www.rstudio.com - Devtools makes package development a breeze: it works with R’s existing conventions for code structure, adding efficient tools to support the cycle of package development. With devtools, developing a package becomes so easy that it will be...

github.com - This is not so much an instructional manual, but rather notes, tables, and examples for Python syntax. It was created by the author as an additional resource during training, meant to be distributed as a physical notebook. Participants (who favor...

Single Nucleotide Polymorphisms (SNPs) are the most common type of genetic variation in humans—and many other organisms. A single base change in the DNA sequence (for example, an A instead of a G) can influence everything from our eye color to...

A major breakthrough (replaced microarrays) in the late 00’s and has been widely used since Measures the average expression level for each gene across a large population of input cells Useful for comparative transcriptomics,...

homes.sice.indiana.edu - Machine learning techniques have been successful in analyzing biological data because of their capabilities in handling randomness and uncertainty of data noise and in generalization. In this class, we will learn basics about probabilistic models...