BOL

github.com - bpRNA, a novel annotation tool capable of parsing RNA structures, including complex pseudoknot-containing RNAs, to yield an objective, precise, compact, unambiguous, easily-interpretable description of all loops, stems, and pseudoknots, along with...

github.com - netGO is an R/Shiny package for network-integrated pathway enrichment analysis.netGO provides user-interactive visualization of enrichment analysis results and related networks. Currently, netGO supports analysis for four species...

https://breedbase.org/ - Breedbase is a comprehensive breeding management and analysis software. It can be used to design field layouts, collect phenotypic information using tablets, support the collection of genotyping samples in a field, store large amounts of high...

www.bioinf.jku.at - The kebabs package provides functionality for kernel based analysis of biological sequences via Support Vector Machine (SVM) based methods. Biological sequences include DNA, RNA, and amino acid (AA) sequences. Sequence kernels define...

https://r-graphics.org/ - R is powerful tool for data analysis, visualization, and machine learning. And it costs $0 to use! Here are six FREE books you can use to learn R...

novelseq.sourceforge.net - The NovelSeq framework is designed to detect novel sequence insertions using high throughput paired-end whole genome sequencing data. http://novelseq.sourceforge.net/Home Paper at https://www.ncbi.nlm.nih.gov/pubmed/20385726

github.com - Manta calls structural variants (SVs) and indels from mapped paired-end sequencing reads. It is optimized for analysis of germline variation in small sets of individuals and somatic variation in tumor/normal sample pairs. Manta discovers, assembles...

github.com - SvABA is a method for detecting structural variants in sequencing data using genome-wide local assembly. Under the hood, SvABA uses a custom implementation of SGA (String Graph Assembler) by Jared Simpson, and BWA-MEM by Heng Li....

Sequencing of hundreds of newborns

github.com - Solutions to Coursera Genome Sequencing (Bioinformatics II)