All Projects β†’ fritzsedlazeck β†’ Sniffles

fritzsedlazeck / Sniffles

Licence: mit
Structural variation caller using third generation sequencing

Projects that are alternatives of or similar to Sniffles

Bedops
πŸ”¬ BEDOPS: high-performance genomic feature operations
Stars: ✭ 215 (-13.31%)
Mutual labels:  bioinformatics
Homebrew Bio
πŸΊπŸ”¬ Bioinformatics formulae for the Homebrew package manager (macOS and Linux)
Stars: ✭ 237 (-4.44%)
Mutual labels:  bioinformatics
Biopython
Official git repository for Biopython (originally converted from CVS)
Stars: ✭ 2,936 (+1083.87%)
Mutual labels:  bioinformatics
Miniasm
Ultrafast de novo assembly for long noisy reads (though having no consensus step)
Stars: ✭ 216 (-12.9%)
Mutual labels:  bioinformatics
Hh Suite
Remote protein homology detection suite.
Stars: ✭ 230 (-7.26%)
Mutual labels:  bioinformatics
Single Cell Pseudotime
An overview of algorithms for estimating pseudotime in single-cell RNA-seq data
Stars: ✭ 239 (-3.63%)
Mutual labels:  bioinformatics
Awesome Cancer Variant Databases
A community-maintained repository of cancer clinical knowledge bases and databases focused on cancer variants.
Stars: ✭ 212 (-14.52%)
Mutual labels:  bioinformatics
Dash.jl
Dash for Julia - A Julia interface to the Dash ecosystem for creating analytic web applications in Julia. No JavaScript required.
Stars: ✭ 248 (+0%)
Mutual labels:  bioinformatics
Deep learning examples
Examples of using deep learning in Bioinformatics
Stars: ✭ 234 (-5.65%)
Mutual labels:  bioinformatics
Bioperl Live
Core BioPerl 1.x code
Stars: ✭ 244 (-1.61%)
Mutual labels:  bioinformatics
Abyss
πŸ”¬ Assemble large genomes using short reads
Stars: ✭ 219 (-11.69%)
Mutual labels:  bioinformatics
Dash
Analytical Web Apps for Python, R, Julia, and Jupyter. No JavaScript Required.
Stars: ✭ 15,592 (+6187.1%)
Mutual labels:  bioinformatics
Strelka
Strelka2 germline and somatic small variant caller
Stars: ✭ 244 (-1.61%)
Mutual labels:  bioinformatics
React Cytoscapejs
React component for Cytoscape.js network visualisations
Stars: ✭ 217 (-12.5%)
Mutual labels:  bioinformatics
Canvasxpress
JavaScript VisualizationTools
Stars: ✭ 247 (-0.4%)
Mutual labels:  bioinformatics
Awosome Bioinformatics
A curated list of resources for learning bioinformatics.
Stars: ✭ 214 (-13.71%)
Mutual labels:  bioinformatics
Sourmash
Quickly search, compare, and analyze genomic and metagenomic data sets.
Stars: ✭ 237 (-4.44%)
Mutual labels:  bioinformatics
Hap.py
Haplotype VCF comparison tools
Stars: ✭ 249 (+0.4%)
Mutual labels:  bioinformatics
Awesome Cheminformatics
A curated list of Cheminformatics libraries and software.
Stars: ✭ 244 (-1.61%)
Mutual labels:  bioinformatics
Cyvcf2
cython + htslib == fast VCF and BCF processing
Stars: ✭ 243 (-2.02%)
Mutual labels:  bioinformatics

Sniffles

Sniffles is a structural variation caller using third generation sequencing (PacBio or Oxford Nanopore). It detects all types of SVs (10bp+) using evidence from split-read alignments, high-mismatch regions, and coverage analysis. Please note the current version of Sniffles requires sorted output from BWA-MEM (use -M and -x parameter), Minimap2 (sam file with Cigar & MD string) or NGMLR. If you experience problems or have suggestions please contact: [email protected]

Please see our github wiki for more information (https://github.com/fritzsedlazeck/Sniffles/wiki)

How to build Sniffles

wget https://github.com/fritzsedlazeck/Sniffles/archive/master.tar.gz -O Sniffles.tar.gz
tar xzvf Sniffles.tar.gz
cd Sniffles-master/
mkdir -p build/
cd build/
cmake ..
make

cd ../bin/sniffles*
./sniffles

Note Mac users often have to provide parameters to the cmake command:

cmake -D CMAKE_C_COMPILER=/opt/local/bin/gcc-mp-4.7 -D CMAKE_CXX_COMPILER=/opt/local/bin/g++-mp-4.7 .. 

NGMLR

Sniffles performs best with the mappings of NGMLR our novel long read mapping method. Please see: https://github.com/philres/ngmlr


Citation:

Please see and cite our paper: https://www.nature.com/articles/s41592-018-0001-7


Poster & Talks:

Accurate and fast detection of complex and nested structural variations using long read technologies Biological Data Science, Cold Spring Harbor Laboratory, Cold Spring Harbor, NY, 26 - 29.10.2016

NGMLR: Highly accurate read mapping of third generation sequencing reads for improved structural variation analysis Genome Informatics 2016, Wellcome Genome Campus Conference Centre, Hinxton, Cambridge, UK, 19.09.-2.09.2016


Datasets used in the mansucript:

We provide the NGMLR aligned reads and the Sniffles calls for the data sets used:

Arabidopsis trio:

Genome in the Bottle trio:

NA12878:

SKBR3:

Note that the project description data, including the texts, logos, images, and/or trademarks, for each open source project belongs to its rightful owner. If you wish to add or remove any projects, please contact us at [email protected].