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# iAnnotateSV: Annotation of structural variants detected from NGS | ||
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Author: [Ronak H Shah](http://github.com/rhshah) | ||
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Contributors : [Gowtham Jayakumaran](https://github.com/andurill) and [Ian Johonson](https://github.com/ionox0) | ||
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Contact: <[email protected]> | ||
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Source code: <http://github.com/rhshah/iAnnotateSV> | ||
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License: [Apache License 2.0](http://www.apache.org/licenses/LICENSE-2.0) | ||
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[![image](https://img.shields.io/pypi/v/iAnnotateSV.svg)](https://pypi.python.org/pypi/iAnnotateSV) | ||
[![image](https://zenodo.org/badge/18929/rhshah/iAnnotateSV.svg)](https://zenodo.org/badge/latestdoi/18929/rhshah/iAnnotateSV) | ||
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iAnnotateSV is a Python library and command-line software toolkit to | ||
annotate and visualize structural variants detected from Next Generation | ||
DNA sequencing data. This works for majority is just re-writing of a | ||
tool called dRanger_annotate written in matlab by Mike Lawrence at Broad | ||
Institue. But it also has some additional functionality and control over | ||
the annotation w.r.t the what transcripts to be used for annotation. It | ||
is designed for use with hybrid capture, including both whole-exome and | ||
custom target panels, and short-read sequencing platforms such as | ||
Illumina. | ||
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## Citation | ||
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We are in the process of publishing a manuscript describing iAnnotateSV | ||
as part of the Structural Variant Detection framework. If you use this | ||
software in a publication, for now, please cite our website | ||
[iAnnotateSV](http://github.com/rhshah/iAnnotateSV). | ||
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## Acknowledgements | ||
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I would like to thanks Mike Lawrence from Broad Institute for sharing his code and Michael Berger for his insights into the dRanger_annotate tool. | ||
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## Required Packages | ||
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We require that you install: | ||
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python: [v3.10](https://www.python.org/downloads/release/) | ||
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pandas: [v2.2.2](http://pandas.pydata.org/) | ||
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biopython: [v1.84](http://biopython.org/wiki/Main_Page) | ||
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Pillow: [v10.4.0](https://pypi.python.org/pypi/Pillow/) | ||
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openpyxl: [v3.1.5](https://pypi.python.org/pypi/openpyxl/) | ||
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reportlab: [v3.6.13](https://pypi.python.org/pypi/reportlab/) | ||
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coloredlogs: [v15.0.1](https://pypi.python.org/pypi/coloredlogs) | ||
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## Utilities | ||
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[Generate Fusion Peptides](./generate_fusion_peptides/README.md) - Helen | ||
Xie | ||
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## Quick Usage | ||
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If you know python I have created a small test script in /iAnnotateSV/test directory it runs a test on existing code and compares the result with the output file. | ||
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Else To Run: | ||
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- If you want to run with default options: | ||
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```bash | ||
python /path/to/iAnnotateSV.py -i svFile.txt -ofp outputfilePrefix -o /path/to/output/dir -r hg19 -d 3000 | ||
``` | ||
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- If you want to run with your own transcripts: | ||
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```bash | ||
python path/to/path/to/iAnnotateSV.py -i svFile.txt -ofp outputfilePrefix -o /path/to/output/dir -r hg19 -d 3000 -c canonicalTranscripts.txt | ||
``` | ||
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- If you want to run with your own transcripts & make plots (making plots is a test module only): | ||
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```bash | ||
python path/to/iAnnotateSV.py -i svFile.txt -ofp outputfilePrefix -o /path/to/output/dir -r hg19 -d 3000 -c canonicalTranscripts.txt -u uniprot.txt -p | ||
``` |
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version = "1.3.0" | ||
description = "iAnnotateSV is a Python library and command-line software toolkit to annotate and visualize structural variants detected from Next Generation DNA sequencing data." | ||
authors = ["Ronak Shah <[email protected]>"] | ||
readme = "See README" | ||
readme = "docs/README.md" | ||
packages = [{include = "iAnnotateSV"}] | ||
include = [ | ||
"iAnnotateSV/data/*", | ||
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