https://github.com/brentp/manta
Structural variant and indel caller for mapped sequencing data
Science Score: 13.0%
This score indicates how likely this project is to be science-related based on various indicators:
-
○CITATION.cff file
-
○codemeta.json file
-
○.zenodo.json file
-
✓DOI references
Found 5 DOI reference(s) in README -
○Academic publication links
-
○Academic email domains
-
○Institutional organization owner
-
○JOSS paper metadata
-
○Scientific vocabulary similarity
Low similarity (15.9%) to scientific vocabulary
Last synced: 10 months ago
·
JSON representation
Repository
Structural variant and indel caller for mapped sequencing data
Basic Info
Statistics
- Stars: 0
- Watchers: 2
- Forks: 0
- Open Issues: 0
- Releases: 0
Fork of Illumina/manta
Created about 5 years ago
· Last pushed about 5 years ago
https://github.com/brentp/manta/blob/master/
Manta Structural Variant Caller =============================== Manta calls structural variants (SVs) and indels from mapped paired-end sequencing reads. It is optimized for analysis of germline variation in small sets of individuals and somatic variation in tumor/normal sample pairs. Manta discovers, assembles and scores large-scale SVs, medium-sized indels and large insertions within a single efficient workflow. The method is designed for rapid analysis on standard compute hardware: NA12878 at 50x genomic coverage is analyzed in less than 20 minutes on a 20 core server, and most WGS tumor/normal analyses can be completed within 2 hours. Manta combines paired and split-read evidence during SV discovery and scoring to improve accuracy, but does not require split-reads or successful breakpoint assemblies to report a variant in cases where there is strong evidence otherwise. It provides scoring models for germline variants in small sets of diploid samples and somatic variants in matched tumor/normal sample pairs. There is experimental support for analysis of unmatched tumor samples as well. Manta accepts input read mappings from BAM or CRAM files and reports all SV and indel inferences in VCF 4.1 format. See the [user guide][UserGuide] for a full description of capabilities and limitations. [UserGuide]:docs/userGuide/README.md Methods and benchmarking details are described in: Chen, X. *et al.* (2016) Manta: rapid detection of structural variants and indels for germline and cancer sequencing applications. *Bioinformatics*, 32, 1220-1222. [doi:10.1093/bioinformatics/btv710][bpaper] ...and the corresponding [open-access pre-print][preprint]. [bpaper]:https://doi.org/10.1093/bioinformatics/btv710 [preprint]:https://doi.org/10.1101/024232 License ------- Manta source code is provided under the [GPLv3 license](LICENSE.txt). Manta includes several third party packages provided under other open source licenses, please see [COPYRIGHT.txt](COPYRIGHT.txt) for additional details. Getting Started --------------- For linux users, it is recommended to start from the most recent [binary distribution on the Manta releases page][releases], this distribution can be unpacked, moved to any convenient directory and tested by [running a small demo](docs/userGuide/installation.md#demo) included with the release distribution. Manta can also be installed and run on OS X. Please see the [installation instructions](docs/userGuide/installation.md) for full build and installation details of all supported cases. [releases]:https://github.com/Illumina/manta/releases Data Analysis and Interpretation -------------------------------- After completing installation, see the [Manta user guide][UserGuide] for instructions on how to run Manta, interpret results and estimate hardware requirements/compute cost, in addition to a high-level methods overview. Manta Code Development ---------------------- For manta code development and debugging details, see the [Manta developer guide][DeveloperGuide]. This includes details on Manta's developement protocols, special build instructions, recommended workflows for investigating calls, and internal documentation details. [DeveloperGuide]:docs/developerGuide/README.md
Owner
- Name: Brent Pedersen
- Login: brentp
- Kind: user
- Location: Oregon, USA
- Twitter: brent_p
- Repositories: 220
- Profile: https://github.com/brentp
Doing genomics