BOL

kallisto Transcript abundance quantification from RNA-seq data (uses pseudoalignment for rapid determination of read compatibility with targets) Software (C++) https://pachterlab.github.io/kallisto/ Sailfish Estimation of isoform abundances...

github.com - Scripts for the analysis of HGT in genome sequence data

github.com - GIGGLE is a genomics search engine that identifies and ranks the significance of genomic loci shared between query features and thousands of genome interval files. GIGGLE (https://github.com/ryanlayer/giggle) scales to billions of intervals and is...

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...

http://genometools.org/ - The GenomeTools genome analysis system is a free collection of bioinformatics tools (in the realm of genome informatics) combined into a single binary named gt. It is based on a C library named...

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).

The choice of visualization can significantly impact the insights gained from bioinformatics data. By selecting plots tailored to your data type and analysis goals, you can effectively communicate your findings and make your research more impactful....

We focus on fundamental questions in genomics, ecology, and evolution. Our methods include fieldwork and labwork, but most of our time is spent analyzing genomics data using computational biology approaches. Ant / bacteria co-evolution, landscape...