Description
Svist4get is a simple bioinformatics tool for visualization of genomic signal tracks in user-defined genomic windows, either arbitrary selected by genomic coordinates or anchored to particular transcripts or genes.
Supported genomic signal tracks: bedGraph
Supported genome annotation: GTF (Ensembl or GENCODE)
Supported output: vector (pdf) and raster (png)
Programming language: Python 3
OS: Linux, Mac OS
Python dependencies: reportlab, statistics, biopython, configs, wand, argparse, pybedtools
OS-level dependencies: bedtools, ImageMagick (pdf-to-png conversion)
License: WTFPL
Version: 1.3.1 (July 2024)
Note: It's a new project's home page. It was moved from bitbucket: artegorov/svist4get. All new releases (starting with v. 1.3) of svist4get will be published only on this page (and pypi).
Installation
You need those tools at the OS level (probably installable as Linux packages): bedtools and ImageMagick (Ubuntu users, please consult FAQ regarding possible issues with ImageMagick).
- The most stable release of svist4get can be installed directly from pypi:
python3 -m pip install svist4get
- The development version is available at github :
git clone https://github.com/art-egorov/svist4get.git
cd svist4get
python3 -m pip install --upgrade pip
python3 -m pip install wheel
python3 setup.py sdist bdist_wheel
python3 -m pip install .
Contact
Please contact us by e-mail artemdotegorovATmeddotludotse or use Issues to report any technical problems.
Old Issues page from bitbucket.
Image example
Console commands to reproduce the above image
svist4get --sampledata
svist4get -bg svist4get_data/RiboCov_cut.bedGraph svist4get_data/mRNACov_cut.bedGraph -gtf svist4get_data/S.cerevisiae.gtf -fa svist4get_data/S.cerevisiae.dna.fa -bl Ribo-Seq RNA-Seq -w I 108842 113506 -it "CCR4 and FUN26 genes" -rc -c A4_p1
Reference
If you find svist4get useful, please cite:
Artyom A. Egorov, Ekaterina A. Sakharova, Aleksandra S. Anisimova, Sergey E. Dmitriev, Vadim N. Gladyshev and Ivan V. Kulakovskiy, svist4get: a simple visualization tool for genomic tracks from sequencing experiments, BMC Bioinformatics, Volume 20, 2019, 113, doi: 10.1186/s12859-019-2706-8
Detailed documentation
Quickstart guide
Command-line parameters
Configuration file parameters
API usage examples
FAQ
Version log
Known issues
-
Older versions of pybedtools (the necessary package) may fail to compile under Python 3.7. Usage of Python 3.6 is thus advised.
-
GTF annotations other than Ensembl and GENCODE may be parsed incorrectly in some cases. Usage of those annotation sources is advised.
-
pdf-to-png conversion may fail in some OS/ImageMagick combinations. Please consult FAQ for details.
Authors
svist4get is developed by Artyom Egorov at the Laboratory of Systems Biology of Aging, MSU (Current address: The Atkinson Lab, Department of Experimental Medical Science, Lund University). We are open for suggestions to extend and improve svist4get functionality. Please don't hesitate to share your ideas or feature requests.
*svist4get logo drawn by E. Kulakovskaya based on puppy named Cindy of S. Anisimova
Applications/Citations
More than 30 citations according to Google Scholar.
Metadata
Release files for svist4get 1.3.1.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
|---|---|---|---|---|
| svist4get-1.3.1.1.tar.gz | 5.7 MB | Without provenance | Details for svist4get-1.3.1.1.tar.gz |
Release files / svist4get-1.3.1.1.tar.gz
| Download URL | svist4get-1.3.1.1.tar.gz |
|---|---|
| Size | 5.7 MB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
66f4a82497aa0da08691a6b35ca8ab6ec5a1830a5adaf3c4f048950ea6bbf466
|
|
BLAKE2b-256 checksum How to use checksums |
f2769662b97fcef47a469048ff867f6e27f642c5c25bffd1aaa5933c890a6f29
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/5.0.0 CPython/3.12.2
|
Security for svist4get 1.3.1.1
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.