Improved prediction of bacterial CRISPRi guide efficiency from depletion screens through mixed-effect machine learning and data integration.
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| Title: | Improved prediction of bacterial CRISPRi guide efficiency from depletion screens through mixed-effect machine learning and data integration. |
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| Authors: | Yu Y; Helmholtz Institute for RNA-Based Infection Research (HIRI), Helmholtz Centre for Infection Research (HZI), Würzburg, 97080, Germany., Gawlitt S; Helmholtz Institute for RNA-Based Infection Research (HIRI), Helmholtz Centre for Infection Research (HZI), Würzburg, 97080, Germany., de Andrade E Sousa LB; Helmholtz AI, Helmholtz Zentrum München, Neuherberg, 85764, Germany., Merdivan E; Helmholtz AI, Helmholtz Zentrum München, Neuherberg, 85764, Germany., Piraud M; Helmholtz AI, Helmholtz Zentrum München, Neuherberg, 85764, Germany., Beisel CL; Helmholtz Institute for RNA-Based Infection Research (HIRI), Helmholtz Centre for Infection Research (HZI), Würzburg, 97080, Germany.; Medical Faculty, University of Würzburg, Würzburg, 97080, Germany., Barquist L; Helmholtz Institute for RNA-Based Infection Research (HIRI), Helmholtz Centre for Infection Research (HZI), Würzburg, 97080, Germany. lars.barquist@helmholtz-hiri.de.; Medical Faculty, University of Würzburg, Würzburg, 97080, Germany. lars.barquist@helmholtz-hiri.de. |
| Source: | Genome biology [Genome Biol] 2024 Jan 11; Vol. 25 (1), pp. 13. Date of Electronic Publication: 2024 Jan 11. |
| Publication Type: | Journal Article; Research Support, Non-U.S. Gov't |
| Journal Info: | Publisher: BioMed Central Ltd Country of Publication: England NLM ID: 100960660 Publication Model: Electronic Cited Medium: Internet ISSN: 1474-760X (Electronic) Linking ISSN: 14747596 NLM ISO Abbreviation: Genome Biol Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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| Header | DbId: mdl DbLabel: MEDLINE Ultimate An: 38200565 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Improved prediction of bacterial CRISPRi guide efficiency from depletion screens through mixed-effect machine learning and data integration. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Yu+Y%22">Yu Y</searchLink>; Helmholtz Institute for RNA-Based Infection Research (HIRI), Helmholtz Centre for Infection Research (HZI), Würzburg, 97080, Germany.<br /><searchLink fieldCode="AU" term="%22Gawlitt+S%22">Gawlitt S</searchLink>; Helmholtz Institute for RNA-Based Infection Research (HIRI), Helmholtz Centre for Infection Research (HZI), Würzburg, 97080, Germany.<br /><searchLink fieldCode="AU" term="%22de+Andrade+E+Sousa+LB%22">de Andrade E Sousa LB</searchLink>; Helmholtz AI, Helmholtz Zentrum München, Neuherberg, 85764, Germany.<br /><searchLink fieldCode="AU" term="%22Merdivan+E%22">Merdivan E</searchLink>; Helmholtz AI, Helmholtz Zentrum München, Neuherberg, 85764, Germany.<br /><searchLink fieldCode="AU" term="%22Piraud+M%22">Piraud M</searchLink>; Helmholtz AI, Helmholtz Zentrum München, Neuherberg, 85764, Germany.<br /><searchLink fieldCode="AU" term="%22Beisel+CL%22">Beisel CL</searchLink>; Helmholtz Institute for RNA-Based Infection Research (HIRI), Helmholtz Centre for Infection Research (HZI), Würzburg, 97080, Germany.; Medical Faculty, University of Würzburg, Würzburg, 97080, Germany.<br /><searchLink fieldCode="AU" term="%22Barquist+L%22">Barquist L</searchLink>; Helmholtz Institute for RNA-Based Infection Research (HIRI), Helmholtz Centre for Infection Research (HZI), Würzburg, 97080, Germany. lars.barquist@helmholtz-hiri.de.; Medical Faculty, University of Würzburg, Würzburg, 97080, Germany. lars.barquist@helmholtz-hiri.de. – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22100960660%22">Genome biology</searchLink> [Genome Biol] 2024 Jan 11; Vol. 25 (1), pp. 13. <i>Date of Electronic Publication: </i>2024 Jan 11. – Name: TypePub Label: Publication Type Group: TypPub Data: Journal Article; Research Support, Non-U.S. Gov't – Name: TitleSource Label: Journal Info Group: Src Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22BioMed+Central+Ltd%22">BioMed Central Ltd </searchLink><i>Country of Publication: </i>England <i>NLM ID: </i>100960660 <i>Publication Model: </i>Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>1474-760X (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2214747596%22">14747596 </searchLink><i>NLM ISO Abbreviation: </i>Genome Biol <i>Subsets: </i>MEDLINE |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=38200565 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1186/s13059-023-03153-y Languages: – Code: eng Text: English PhysicalDescription: Pagination: StartPage: 13 Titles: – TitleFull: Improved prediction of bacterial CRISPRi guide efficiency from depletion screens through mixed-effect machine learning and data integration. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Yu Y – PersonEntity: Name: NameFull: Gawlitt S – PersonEntity: Name: NameFull: de Andrade E Sousa LB – PersonEntity: Name: NameFull: Merdivan E – PersonEntity: Name: NameFull: Piraud M – PersonEntity: Name: NameFull: Beisel CL – PersonEntity: Name: NameFull: Barquist L IsPartOfRelationships: – BibEntity: Dates: – D: 11 M: 01 Text: 2024 Jan 11 Type: published Y: 2024 Identifiers: – Type: issn-electronic Value: 1474-760X Numbering: – Type: volume Value: 25 – Type: issue Value: 1 Titles: – TitleFull: Genome biology Type: main |
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