github.com - NextSV, a meta SV caller and a computational pipeline to perform SV calling from low coverage long-read sequencing data. NextSV integrates three aligners and three SV callers and generates two integrated call sets (sensitive/stringent) for different...
fantom.gsc.riken.jp - ZENBU is a data integration, data analysis, and visualization system enhanced for RNAseq, ChipSeq, CAGE and other types of next-generation-sequence-tag (NGS) based data. ZENBU allows for novel data exploration through "on-demand" data...
github.com - OMTools, an efficient and intuitive data processing and visualization suite to handle and explore large-scale optical mapping profiles. OMTools includes modules for visualization (OMView), data processing and simulation. These modules together form...
genome.sph.umich.edu - vt is a variant tool set that discovers short variants from Next Generation Sequencing data.
https://genome.sph.umich.edu/wiki/Vt
https://github.com/atks/vt
GATB Library. The Genome Analysis Toolbox with de-Bruijn graph. A large part of tools developed by the GenScale team are based on this library.These methods enable the analysis of data sets of any size on multi-core desktop...
github.com - GraphMap is a novel mapper targeted at aligning long, error-prone third-generation sequencing data.It is designed to handle Oxford Nanopore MinION 1d and 2d reads with very high sensitivity and accuracy, and also presents a significant...
japsa.readthedocs.io - npScarf (jsa.np.npscarf) is a program that connect contigs from a draft genomes to generate sequences that are closer to finish. These pipelines can run on a single laptop for microbial datasets. In real-time mode, it can be integrated with simple...
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...
https://www.rplumber.io/ - plumber allows you to create a REST API by merely decorating your existing R source code with special comments. Take a look at an example.
# plumber.R
#* Echo back the input
#* @param msg The message to echo
#* @get /echo
function(msg=""){...