BOL

mesquiteproject.org - Mesquite is modular, extendible software for evolutionary biology, designed to help biologists organize and analyze comparative data about organisms. Its emphasis is on phylogenetic analysis, but some of its modules concern population genetics,...

github.com - snakePipes are flexible and powerful workflows built using snakemake that simplify the analysis of NGS data. DNA-mapping* ChIP-seq* RNA-seq* ATAC-seq* scRNA-seq Hi-C Whole Genome Bisulfite Seq/WGBS (*Also available in...

github.com - Dahak is a software suite that integrates state-of-the-art open source tools for metagenomic analyses. Tools in the dahak software suite will perform various steps in metagenomic analysis workflows including data pre-processing, metagenome assembly,...

http://www.ub.edu/dnasp/ - DnaSP, DNA Sequence Polymorphism, is a software package for the analysis of DNA polymorphisms using data from a single locus (a multiple sequence aligned -MSA data), or from several loci (a Multiple-MSA data, such as formats generated by some...

To calculate the significance of the difference between two trends, you can use a statistical test such as a t-test or ANOVA (analysis of variance).

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)