engr.case.edu - In this report we provide an overview of known techniques for discovery of patterns of biological sequences (DNA and proteins). We also provide biological motivation, and methods of biological verification of such patterns. Finally we list publicly...
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...
bioinformatics.uconn.edu - This section explains some of the commonly used file formats in bioinformatics. The information provided here is basic and designed to help users to distinguish the difference between different formats. Please refer user manual or other information...
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...
cov-lineages.org - This is a tutorial for using the Pangolin Web Application. For information on using the command line tool, please visit the command line tool usage page.
https://cov-lineages.org/resources/pangolin/tutorial.html
deltarho.org - Trelliscope provides a way to flexibly visualize large, complex data in great detail from within the R statistical programming environment. Trelliscope is a component in the DeltaRho environment.
For those familiar with Trellis...
majiq.biociphers.org -
Ability to detect, quantify, and visualize complex and de-novo splicing variations from RNASeq.
MAJIQ’s accuracy compares favorably to other algorithms.
MAJIQ 2 is *way* faster, more memory and I/O efficient
New visualization (VOILA...
DESeq2 is a powerful and widely-used R package that identifies differentially expressed genes (DEGs) from RNA-seq data. Whether you're comparing treated vs untreated samples, disease vs healthy conditions, or wild-type vs mutant strains, DESeq2...