Academic Journal
Synteny plot quality control with SyntenyQC.
| Title: | Synteny plot quality control with SyntenyQC. |
|---|---|
| Authors: | Kirkwood, Timothy D J, Connolly, Jack A, Ang, Ee Lui, Zhao, Huimin, Takano, Eriko, Breitling, Rainer |
| Source: | Bioinformatics; Dec2025, Vol. 41 Issue 12, p1-5, 5p |
| Subject Terms: | Genomics, Bioinformatics software, Gene mapping, Application software, Python programming language, Data scrubbing |
| Abstract: | Summary SyntenyQC is a data pre-processing tool for the construction of synteny plots. It supports genomic data collection, annotation and dereplication to facilitate (and in some cases fundamentally enable) the construction of informative synteny plots. Availability and implementation SyntenyQC is a command line app developed using Python version 3.10 and tested using pytest. SyntenyQC is available on PyPI (https://pypi.org/project/SyntenyQC) under the MIT License, along with a detailed user tutorial. Package tests can be viewed at https://github.com/Tim-Kirkwood/SyntenyQC. [ABSTRACT FROM AUTHOR] |
| Copyright of Bioinformatics is the property of Oxford University Press / USA and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Complementary Index |
| FullText | Links: – Type: other Text: Availability: 0 |
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| Header | DbId: edb DbLabel: Complementary Index An: 190480053 RelevancyScore: 1041 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 1040.81262207031 |
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| Items | – Name: Title Label: Title Group: Ti Data: Synteny plot quality control with SyntenyQC. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Kirkwood%2C+Timothy+D+J%22">Kirkwood, Timothy D J</searchLink><br /><searchLink fieldCode="AR" term="%22Connolly%2C+Jack+A%22">Connolly, Jack A</searchLink><br /><searchLink fieldCode="AR" term="%22Ang%2C+Ee+Lui%22">Ang, Ee Lui</searchLink><br /><searchLink fieldCode="AR" term="%22Zhao%2C+Huimin%22">Zhao, Huimin</searchLink><br /><searchLink fieldCode="AR" term="%22Takano%2C+Eriko%22">Takano, Eriko</searchLink><br /><searchLink fieldCode="AR" term="%22Breitling%2C+Rainer%22">Breitling, Rainer</searchLink> – Name: TitleSource Label: Source Group: Src Data: Bioinformatics; Dec2025, Vol. 41 Issue 12, p1-5, 5p – Name: Subject Label: Subject Terms Group: Su Data: <searchLink fieldCode="DE" term="%22Genomics%22">Genomics</searchLink><br /><searchLink fieldCode="DE" term="%22Bioinformatics+software%22">Bioinformatics software</searchLink><br /><searchLink fieldCode="DE" term="%22Gene+mapping%22">Gene mapping</searchLink><br /><searchLink fieldCode="DE" term="%22Application+software%22">Application software</searchLink><br /><searchLink fieldCode="DE" term="%22Python+programming+language%22">Python programming language</searchLink><br /><searchLink fieldCode="DE" term="%22Data+scrubbing%22">Data scrubbing</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: Summary SyntenyQC is a data pre-processing tool for the construction of synteny plots. It supports genomic data collection, annotation and dereplication to facilitate (and in some cases fundamentally enable) the construction of informative synteny plots. Availability and implementation SyntenyQC is a command line app developed using Python version 3.10 and tested using pytest. SyntenyQC is available on PyPI (https://pypi.org/project/SyntenyQC) under the MIT License, along with a detailed user tutorial. Package tests can be viewed at https://github.com/Tim-Kirkwood/SyntenyQC. [ABSTRACT FROM AUTHOR] – Name: Abstract Label: Group: Ab Data: <i>Copyright of Bioinformatics is the property of Oxford University Press / USA and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1093/bioinformatics/btaf626 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 5 StartPage: 1 Subjects: – SubjectFull: Genomics Type: general – SubjectFull: Bioinformatics software Type: general – SubjectFull: Gene mapping Type: general – SubjectFull: Application software Type: general – SubjectFull: Python programming language Type: general – SubjectFull: Data scrubbing Type: general Titles: – TitleFull: Synteny plot quality control with SyntenyQC. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Kirkwood, Timothy D J – PersonEntity: Name: NameFull: Connolly, Jack A – PersonEntity: Name: NameFull: Ang, Ee Lui – PersonEntity: Name: NameFull: Zhao, Huimin – PersonEntity: Name: NameFull: Takano, Eriko – PersonEntity: Name: NameFull: Breitling, Rainer IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 12 Text: Dec2025 Type: published Y: 2025 Identifiers: – Type: issn-print Value: 13674803 Numbering: – Type: volume Value: 41 – Type: issue Value: 12 Titles: – TitleFull: Bioinformatics Type: main |
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