BOL

The pacman package is an R package management tool that combines the functionality of base library related functions into intuitively named functions.

www.bioconductor.org - statistical analysis and visulization of functional profiles for genes and gene clustersBioconductor version: Release (3.3)This package implements methods to analyze and visualize functional profiles (GO and KEGG) of gene and gene clusters.Author:...

www.phrap.org - Supports Illumina, 454, other Next-Gen and Sanger Reads and allows mixtures of these read types Consed includes BamScape which can view bam files with unlimited numbers of reads. BamScape can bring up consed to edit reads and the reference sequence...

github.com - R Package to visualize alignments between two or multiple DNA sequences includinga number of functionalities to facilitate processing of alignments in PAF format. SVbyEye, an open-source R package to visualize and annotate sequence-to-sequence...

cran.r-project.org - Provides interactive, configurable and elegant graphics visualization of the chromosomes or chromosome regions of any living organism allowing users to map chromosome elements (like genes, SNPs etc.) on the chromosome plot. It introduces a special...

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...

github.com - platypus is an R package for object detection and semantic segmentation. Currently using  platypus you can perform: multi-class semantic segmentation using U-Net architecture multi-class object detection...

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...

Here is a small tutorial on how to make best use of multiple processors for bioinformatics analysis. One best way is using perl threads and forks. Knowing how these threads and forks work is very important before implementing them. Getting to know...

Creators of software widely used in computational biology discuss the factors that contributed to their success