Skip to main content
https://raw.githubusercontent.com/svviz/svviz/master/docs/example.png

svviz

Author: Noah Spies

Latest version: pypi

svviz visualizes high-throughput sequencing data relevant to a structural variant. Only reads supporting the variant or the reference allele will be shown. svviz can operate in both an interactive web browser view to closely inspect individual variants, or in batch mode, allowing multiple variants (annotated in a VCF file) to be analyzed simultaneously.

Visit the project site for a tour of the features and example output.

Quickstart

svviz has been tested on Mac OS X and Linux, and should work on Windows, although that has not been tested.

  1. Ensure that you have a working compiler by following these instructions (OS X only) and that python and the python package pip are installed.

  2. Install the latest version of svviz from github using the following terminal command: sudo pip install -U svviz. (The sudo may not be necessary depending on your setup.)

  3. Run the following command, which downloads example data and runs it through svviz: svviz demo. After several processing steps, a web browser window should open, with separate, interactive views of the reference and alternate alleles.

See the documentation for more detailed help, or run svviz -h to get help on command line arguments.

Please submit bug reports or feature requests on the github issue tracker.

Publication

svviz has been published in Bioinformatics. If you found svviz useful for your research, please cite svviz as follows:

Spies N, Zook JM, Salit M, Sidow A. 2015. svviz: a read viewer for validating structural variants. Bioinformatics doi:bioinformatics/btv478.

Metadata

Release files for svviz 1.6.2

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for svviz 1.6.2
File Size Uploaded Provenance Actions
svviz-1.6.2.tar.gz 317.3 kB Without provenance Details for svviz-1.6.2.tar.gz

Built distribution (wheel)

Table of built distributions (wheels) for svviz 1.6.2
File Interpreter ABI Platform Actions
svviz-1.6.2-cp36-cp36m-macosx_10_9_x86_64.whl CPython 3.6 CPython 3.6 pymalloc macOS 10.9+ x86-64 Details for svviz-1.6.2-cp36-cp36m-macosx_10_9_x86_64.whl

Total release size: 658.1 kB

Release files / svviz-1.6.2.tar.gz

Download URL svviz-1.6.2.tar.gz
Size 317.3 kB
Tags Source
SHA-256 checksum
How to use checksums
16a419b9be5f25a0d2393ed13eeccadcdbaf8047c244be108f891c897c5349ed
BLAKE2b-256 checksum
How to use checksums
1a41f74b81fef6fd95cab460a1711cca90201cfc8cfdc1a87fa3fb81ae5761ed
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No

Release files / svviz-1.6.2-cp36-cp36m-macosx_10_9_x86_64.whl

Download URL svviz-1.6.2-cp36-cp36m-macosx_10_9_x86_64.whl
Size 340.8 kB
Tags CPython 3.6 CPython 3.6 pymalloc macOS 10.9+ x86-64
SHA-256 checksum
How to use checksums
5af47b02fa6f51100d4ab1c9fb8e09740666e628d2d4761feb18b0a00fc4f78a
BLAKE2b-256 checksum
How to use checksums
31c7d8c9817ef281efede37c0a21295b20a8caf00afe83b59efc15850d8ff56b
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No

Security for svviz 1.6.2

Provenance

Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.

No provenance found

None of the files in this release were uploaded with provenance metadata.

A note on package security

PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.

To learn more about protecting yourself from malicious actors, visit our package security documentation.

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page