There are many R software and bioconductor packages for NGS data analysis, some of them are as follows
Biostrings
The Biostrings package from Bioconductor provides an advanced environment for efficient sequence management and analysis in R. It...
github.com - Janggu is a python package that facilitates deep learning in the context of genomics. The package is freely available under a GPL-3.0 license.
Detail tutorial at https://janggu.readthedocs.io/en/latest/
USE...
ab.inf.uni-tuebingen.de - Our software can be used to generate collections of synthetic reads that reflect the diverse taxonomical composition of typical metagenome data sets. Based on a database of given genomes, the program allows the user to design a...
www.gigasciencejournal.com - Bioinformatics software varies greatly in quality. In terms of usability, the command line interface is the first experience a user will have of a tool. Unfortunately, this is often also the last time a tool will be used. Here I present ten...
www.homolog.us - Useful bioinformatics tutorial, such as
De Bruijn Graphs for NGS AssemblyAlgorithms for PacBio ReadsSoftware and Hardware Concepts for BioinformaticsFinding us in Homolog.us (Search Algorithms)NGS Genome and RNAseq Assembly - a Hands on...
Our research focuses on the computational analysis of genomic and transcriptomic sequences from non-model plant species. We do this by developing approaches to examine gene finding, gene expression, transcriptome assembly, and conserved element...
http://orione.crs4.it/ - End-to-end NGS microbiology data analysis requires a diversity of tools covering bacterial resequencing, de novo assembly, scaffolding, bacterial RNA-Seq, gene annotation and metagenomics. However, the construction of computational pipelines that...