Computational Methods for Analysis of the DNA-Binding Preferences of Cys2His2 Zinc-Finger Proteins
dc.authorid | Dogan, Berat/0000-0003-4810-1970 | |
dc.authorid | Najafabadi, Hamed/0000-0003-2735-4231 | |
dc.authorwosid | Dogan, Berat/AAJ-7288-2020 | |
dc.contributor.author | Dogan, Berat | |
dc.contributor.author | Najafabadi, Hamed S. | |
dc.coverage.doi | 10.1007/978-1-4939-8799-3 | |
dc.date.accessioned | 2024-08-04T20:45:23Z | |
dc.date.available | 2024-08-04T20:45:23Z | |
dc.date.issued | 2018 | |
dc.department | İnönü Üniversitesi | en_US |
dc.description.abstract | Cys(2)His(2) zinc-finger proteins (C2H2-ZFPs) constitute the largest class of human transcription factors (TFs) and also the least characterized one. Determining the DNA sequence preferences of C2H2-ZFPs is an important first step toward elucidating their roles in transcriptional regulation. Among the most promising approaches for obtaining the sequence preferences of C2H2-ZFPs are those that combine machine--learning predictions with in vivo binding maps of these proteins. Here, we provide a protocol and guidelines for predicting the DNA-binding preferences of C2H2-ZFPs from their amino acid sequences using a machine learning-based recognition code. This protocol also describes the tools and steps to combine these predictions with ChIP-seq data to remove inaccuracies, identify the zinc-finger domains within each C2H2-ZFP that engage with DNA in vivo, and pinpoint the genomic binding sites of the C2H2-ZFPs. | en_US |
dc.identifier.doi | 10.1007/978-1-4939-8799-3_2 | |
dc.identifier.endpage | 28 | en_US |
dc.identifier.isbn | 978-1-4939-8799-3 | |
dc.identifier.isbn | 978-1-4939-8798-6 | |
dc.identifier.issn | 1064-3745 | |
dc.identifier.issn | 1940-6029 | |
dc.identifier.pmid | 30155812 | en_US |
dc.identifier.scopus | 2-s2.0-85052703065 | en_US |
dc.identifier.scopusquality | Q3 | en_US |
dc.identifier.startpage | 15 | en_US |
dc.identifier.uri | https://doi.org/10.1007/978-1-4939-8799-3_2 | |
dc.identifier.uri | https://hdl.handle.net/11616/98453 | |
dc.identifier.volume | 1867 | en_US |
dc.identifier.wos | WOS:000458610500003 | en_US |
dc.identifier.wosquality | N/A | en_US |
dc.indekslendigikaynak | Web of Science | en_US |
dc.indekslendigikaynak | Scopus | en_US |
dc.indekslendigikaynak | PubMed | en_US |
dc.language.iso | en | en_US |
dc.publisher | Humana Press Inc | en_US |
dc.relation.ispartof | Zinc Finger Proteins: Methods and Protocols | en_US |
dc.relation.publicationcategory | Kitap Bölümü - Uluslararası | en_US |
dc.rights | info:eu-repo/semantics/closedAccess | en_US |
dc.subject | Cys(2)His(2) zinc-finger proteins | en_US |
dc.subject | Transcription factors | en_US |
dc.subject | DNA motifs | en_US |
dc.subject | ChIP-seq | en_US |
dc.subject | Machine learning | en_US |
dc.subject | Recognition code | en_US |
dc.title | Computational Methods for Analysis of the DNA-Binding Preferences of Cys2His2 Zinc-Finger Proteins | en_US |
dc.type | Book Chapter | en_US |