SRRec: Short Reads restoration through accurate error Rectification
A novel machine-learning-based error correction algorithm SRRec follows the diversity of the PCR and sequencing process to clear errors in short reads, including DNA and RNA sequencing (DNA/RNA-seq), small RNA, unique molecular identifiers (UMI) and amplicon sequencing data.
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Release files for SRRec 0.0.64
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| SRRec-0.0.64.tar.gz | 50.8 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| SRRec-0.0.64-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 104.1 kB
Release files / SRRec-0.0.64.tar.gz
| Download URL | SRRec-0.0.64.tar.gz |
|---|---|
| Size | 50.8 kB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.1 CPython/3.8.13
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Release files / SRRec-0.0.64-py3-none-any.whl
| Download URL | SRRec-0.0.64-py3-none-any.whl |
|---|---|
| Size | 53.3 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.1 CPython/3.8.13
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