ScanITD
📦 Installation
ScanITD can be installed using pip, the Python package installer. Follow these steps to install:
-
Ensure you have Python 3.10 or later installed on your system.
-
Create a virtual environment (recommended):
python -m venv scanitd_env source scanitd_env/bin/activate # On Windows use `scanitd_env\Scripts\activate`
-
Install ScanITD:
pip install scanitd
-
Verify the installation:
scanitd --help
🛠️ Usage
Usage: scanitd [OPTIONS]
ScanITD: Detecting internal tandem duplication with robust variant allele frequency estimation
Required Arguments
-
--input,-iPATH- Aligned BAM file
- Required
-
--ref,-rPATH- Reference genome in FASTA format (with fai index)
- Required
-
--output,-oTEXT- Output VCF file
- Required
Optional Arguments
-
--mapq,-mINTEGER- Minimum MAPQ in BAM for calling ITD
- Default: 15
-
--ao,-cINTEGER- Minimum observation count for ITD
- Default: 4
-
--depth,-dINTEGER- Minimum depth to call ITD
- Default: 10
-
--vaf,-fFLOAT- Minimum variant allele frequency
- Default: 0.1
-
--lengthINTEGER- Minimum ITD length to report
- Default: 10
-
--aln-mismatches,-nINTEGER- Maximum allowed mismatches for pairwise local alignment
- Default: 1
-
--ins-mismatchesINTEGER- Maximum allowed mismatches for insertion-inferred duplication
- Default: 2
-
--target,-tTEXT- Limit analysis to targets listed in the BED-format file or a samtools region string
-
--log-level,-l[info|warning|error|debug|trace]- Set the logging level
- Default: info
-
--version,-v- Show version and exit
📚 Citation
Wang TY. and Yang R. ScanITD: Detecting internal tandem duplication with robust variant allele frequency estimation.
Metadata
Release files for scanitd 0.9.2
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| scanitd-0.9.2.tar.gz | 48.2 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| scanitd-0.9.2-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 81.2 kB
Release files / scanitd-0.9.2.tar.gz
| Download URL | scanitd-0.9.2.tar.gz |
|---|---|
| Size | 48.2 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
554efdf1c206a332fca1933a2ffb765d26127e22aaacadf86d170d21cbe288a6
|
|
BLAKE2b-256 checksum How to use checksums |
d75f7fbbcec806bfeaf2fd6828f654587e287e07d30946084f05dba641b56f4a
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/6.1.0 CPython/3.13.12
|
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.
PyPI Publish Attestation
PyPI verified that this artifact, at this checksum, originated from the publisher listed below.
Signed by GitHub Actions, verified by PyPI on Jul 16, 2026.
Transparency logRelease files / scanitd-0.9.2-py3-none-any.whl
| Download URL | scanitd-0.9.2-py3-none-any.whl |
|---|---|
| Size | 33.0 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
9234d3ebaeb619b3cccbfb52869dcc0a3f5d4bfd9f3e039e9c6c57e8544fae95
|
|
BLAKE2b-256 checksum How to use checksums |
89fe2aec7a933a094b7ee2a3bb28dfd4b1e4f3da88f99a371ad61803c1a8ccc0
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/6.1.0 CPython/3.13.12
|
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.
PyPI Publish Attestation
PyPI verified that this artifact, at this checksum, originated from the publisher listed below.
Signed by GitHub Actions, verified by PyPI on Jul 16, 2026.
Transparency log