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Protocol to process crosslinking and immunoprecipitation data into annotated binding sites
Here, we present a protocol for using Skipper, a pipeline designed to process crosslinking and immunoprecipitation (CLIP) data into annotated binding sites. We describe steps for partitioning annotated transcript regions and fitting data to a beta-binomial model to call windows of enriched binding....
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Published in: | STAR protocols 2024-06, Vol.5 (2), p.103040, Article 103040 |
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creator | Xu, Shuhao Nguyen, Grady G. Naritomi, Jack T. Kopalle, Hema M. Yee, Brian A. Rothamel, Katherine L. Boyle, Evan A. Yeo, Gene W. |
description | Here, we present a protocol for using Skipper, a pipeline designed to process crosslinking and immunoprecipitation (CLIP) data into annotated binding sites. We describe steps for partitioning annotated transcript regions and fitting data to a beta-binomial model to call windows of enriched binding. From raw CLIP data, we detail how users can map reproducible RNA-binding sites to call enriched windows and perform downstream analysis. This protocol supports optional customizations for different use cases.
For complete details on the use and execution of this protocol, please refer to Boyle et al.1
[Display omitted]
•Protocol for applying a bioinformatics pipeline to process CLIP data•Conda-based and containerized software environments for simplifying pipeline setup•Steps for preparing pipeline resources using provided code snippets•Identification of increased true-positive RBP-RNA-binding sites in a few steps
Publisher’s note: Undertaking any experimental protocol requires adherence to local institutional guidelines for laboratory safety and ethics.
Here, we present a protocol for using Skipper, a pipeline designed to process crosslinking and immunoprecipitation (CLIP) data into annotated binding sites. We describe steps for partitioning annotated transcript regions and fitting data to a beta-binomial model to call windows of enriched binding. From raw CLIP data, we detail how users can map reproducible RNA-binding sites to call enriched windows and perform downstream analysis. This protocol supports optional customizations for different use cases. |
doi_str_mv | 10.1016/j.xpro.2024.103040 |
format | article |
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For complete details on the use and execution of this protocol, please refer to Boyle et al.1
[Display omitted]
•Protocol for applying a bioinformatics pipeline to process CLIP data•Conda-based and containerized software environments for simplifying pipeline setup•Steps for preparing pipeline resources using provided code snippets•Identification of increased true-positive RBP-RNA-binding sites in a few steps
Publisher’s note: Undertaking any experimental protocol requires adherence to local institutional guidelines for laboratory safety and ethics.
Here, we present a protocol for using Skipper, a pipeline designed to process crosslinking and immunoprecipitation (CLIP) data into annotated binding sites. We describe steps for partitioning annotated transcript regions and fitting data to a beta-binomial model to call windows of enriched binding. From raw CLIP data, we detail how users can map reproducible RNA-binding sites to call enriched windows and perform downstream analysis. This protocol supports optional customizations for different use cases.</description><identifier>ISSN: 2666-1667</identifier><identifier>EISSN: 2666-1667</identifier><identifier>DOI: 10.1016/j.xpro.2024.103040</identifier><identifier>PMID: 38669139</identifier><language>eng</language><publisher>United States: Elsevier Inc</publisher><subject>Binding Sites ; Bioinformatics ; Cross-Linking Reagents - chemistry ; Gene Expression ; Genomics ; Humans ; Immunoprecipitation - methods ; RNA - genetics ; RNA - metabolism ; RNA-seq ; Sequence analysis ; Software</subject><ispartof>STAR protocols, 2024-06, Vol.5 (2), p.103040, Article 103040</ispartof><rights>2024 The Author(s)</rights><rights>Copyright © 2024 The Author(s). Published by Elsevier Inc. All rights reserved.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c373t-5bba225f049e7ceea2bdcde69e0e6db39a231ad5c49ee5beb3f1ac06fad4a1693</cites><orcidid>0000-0002-0799-6037</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://www.sciencedirect.com/science/article/pii/S2666166724002053$$EHTML$$P50$$Gelsevier$$Hfree_for_read</linktohtml><link.rule.ids>314,780,784,3549,27924,27925,45780</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/38669139$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Xu, Shuhao</creatorcontrib><creatorcontrib>Nguyen, Grady G.</creatorcontrib><creatorcontrib>Naritomi, Jack T.</creatorcontrib><creatorcontrib>Kopalle, Hema M.</creatorcontrib><creatorcontrib>Yee, Brian A.</creatorcontrib><creatorcontrib>Rothamel, Katherine L.</creatorcontrib><creatorcontrib>Boyle, Evan A.</creatorcontrib><creatorcontrib>Yeo, Gene W.</creatorcontrib><title>Protocol to process crosslinking and immunoprecipitation data into annotated binding sites</title><title>STAR protocols</title><addtitle>STAR Protoc</addtitle><description>Here, we present a protocol for using Skipper, a pipeline designed to process crosslinking and immunoprecipitation (CLIP) data into annotated binding sites. We describe steps for partitioning annotated transcript regions and fitting data to a beta-binomial model to call windows of enriched binding. From raw CLIP data, we detail how users can map reproducible RNA-binding sites to call enriched windows and perform downstream analysis. This protocol supports optional customizations for different use cases.
For complete details on the use and execution of this protocol, please refer to Boyle et al.1
[Display omitted]
•Protocol for applying a bioinformatics pipeline to process CLIP data•Conda-based and containerized software environments for simplifying pipeline setup•Steps for preparing pipeline resources using provided code snippets•Identification of increased true-positive RBP-RNA-binding sites in a few steps
Publisher’s note: Undertaking any experimental protocol requires adherence to local institutional guidelines for laboratory safety and ethics.
Here, we present a protocol for using Skipper, a pipeline designed to process crosslinking and immunoprecipitation (CLIP) data into annotated binding sites. We describe steps for partitioning annotated transcript regions and fitting data to a beta-binomial model to call windows of enriched binding. From raw CLIP data, we detail how users can map reproducible RNA-binding sites to call enriched windows and perform downstream analysis. This protocol supports optional customizations for different use cases.</description><subject>Binding Sites</subject><subject>Bioinformatics</subject><subject>Cross-Linking Reagents - chemistry</subject><subject>Gene Expression</subject><subject>Genomics</subject><subject>Humans</subject><subject>Immunoprecipitation - methods</subject><subject>RNA - genetics</subject><subject>RNA - metabolism</subject><subject>RNA-seq</subject><subject>Sequence analysis</subject><subject>Software</subject><issn>2666-1667</issn><issn>2666-1667</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2024</creationdate><recordtype>article</recordtype><sourceid>DOA</sourceid><recordid>eNp9kU9v1DAQxS1ERau2X4ADypHLLv6TOBuJC6ooVKoEh_bCxRrbk2qWxF5sL4Jvj9OUihMnW-P3fiO_x9hrwbeCC_1uv_11SHEruWzrQPGWv2BnUmu9EVr3L_-5n7LLnPecc9kJ2YrdK3aqdloPQg1n7NvXFEt0cWpKbCrQYc6NSzHnicJ3Cg8NBN_QPB9DPCR0dKAChWJoPBRoKFQbhBDrEH1jKfjFk6lgvmAnI0wZL5_Oc3Z__fHu6vPm9sunm6sPtxunelU2nbUgZTfydsDeIYK03nnUA3LU3qoBpBLgO1ffsbNo1SjAcT2Cb0HoQZ2zm5XrI-zNIdEM6beJQOZxENODgVTITWhQS6m5dqCsbnXvdmjRQy-tlCicwMp6u7JqFD-OmIuZKTucJggYj9nUnPuh40ota-UqfUwr4fi8WnCzVGT2ZqnILBWZtaJqevPEP9oZ_bPlbyFV8H4VYE3sJ2Ey2REGh55q-qV-if7H_wPIMKU1</recordid><startdate>20240621</startdate><enddate>20240621</enddate><creator>Xu, Shuhao</creator><creator>Nguyen, Grady G.</creator><creator>Naritomi, Jack T.</creator><creator>Kopalle, Hema M.</creator><creator>Yee, Brian A.</creator><creator>Rothamel, Katherine L.</creator><creator>Boyle, Evan A.</creator><creator>Yeo, Gene W.</creator><general>Elsevier Inc</general><general>Elsevier</general><scope>6I.</scope><scope>AAFTH</scope><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7X8</scope><scope>DOA</scope><orcidid>https://orcid.org/0000-0002-0799-6037</orcidid></search><sort><creationdate>20240621</creationdate><title>Protocol to process crosslinking and immunoprecipitation data into annotated binding sites</title><author>Xu, Shuhao ; Nguyen, Grady G. ; Naritomi, Jack T. ; Kopalle, Hema M. ; Yee, Brian A. ; Rothamel, Katherine L. ; Boyle, Evan A. ; Yeo, Gene W.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c373t-5bba225f049e7ceea2bdcde69e0e6db39a231ad5c49ee5beb3f1ac06fad4a1693</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2024</creationdate><topic>Binding Sites</topic><topic>Bioinformatics</topic><topic>Cross-Linking Reagents - chemistry</topic><topic>Gene Expression</topic><topic>Genomics</topic><topic>Humans</topic><topic>Immunoprecipitation - methods</topic><topic>RNA - genetics</topic><topic>RNA - metabolism</topic><topic>RNA-seq</topic><topic>Sequence analysis</topic><topic>Software</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Xu, Shuhao</creatorcontrib><creatorcontrib>Nguyen, Grady G.</creatorcontrib><creatorcontrib>Naritomi, Jack T.</creatorcontrib><creatorcontrib>Kopalle, Hema M.</creatorcontrib><creatorcontrib>Yee, Brian A.</creatorcontrib><creatorcontrib>Rothamel, Katherine L.</creatorcontrib><creatorcontrib>Boyle, Evan A.</creatorcontrib><creatorcontrib>Yeo, Gene W.</creatorcontrib><collection>ScienceDirect Open Access Titles</collection><collection>Elsevier:ScienceDirect:Open Access</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><collection>Directory of Open Access Journals</collection><jtitle>STAR protocols</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Xu, Shuhao</au><au>Nguyen, Grady G.</au><au>Naritomi, Jack T.</au><au>Kopalle, Hema M.</au><au>Yee, Brian A.</au><au>Rothamel, Katherine L.</au><au>Boyle, Evan A.</au><au>Yeo, Gene W.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Protocol to process crosslinking and immunoprecipitation data into annotated binding sites</atitle><jtitle>STAR protocols</jtitle><addtitle>STAR Protoc</addtitle><date>2024-06-21</date><risdate>2024</risdate><volume>5</volume><issue>2</issue><spage>103040</spage><pages>103040-</pages><artnum>103040</artnum><issn>2666-1667</issn><eissn>2666-1667</eissn><abstract>Here, we present a protocol for using Skipper, a pipeline designed to process crosslinking and immunoprecipitation (CLIP) data into annotated binding sites. We describe steps for partitioning annotated transcript regions and fitting data to a beta-binomial model to call windows of enriched binding. From raw CLIP data, we detail how users can map reproducible RNA-binding sites to call enriched windows and perform downstream analysis. This protocol supports optional customizations for different use cases.
For complete details on the use and execution of this protocol, please refer to Boyle et al.1
[Display omitted]
•Protocol for applying a bioinformatics pipeline to process CLIP data•Conda-based and containerized software environments for simplifying pipeline setup•Steps for preparing pipeline resources using provided code snippets•Identification of increased true-positive RBP-RNA-binding sites in a few steps
Publisher’s note: Undertaking any experimental protocol requires adherence to local institutional guidelines for laboratory safety and ethics.
Here, we present a protocol for using Skipper, a pipeline designed to process crosslinking and immunoprecipitation (CLIP) data into annotated binding sites. We describe steps for partitioning annotated transcript regions and fitting data to a beta-binomial model to call windows of enriched binding. From raw CLIP data, we detail how users can map reproducible RNA-binding sites to call enriched windows and perform downstream analysis. This protocol supports optional customizations for different use cases.</abstract><cop>United States</cop><pub>Elsevier Inc</pub><pmid>38669139</pmid><doi>10.1016/j.xpro.2024.103040</doi><orcidid>https://orcid.org/0000-0002-0799-6037</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | Binding Sites Bioinformatics Cross-Linking Reagents - chemistry Gene Expression Genomics Humans Immunoprecipitation - methods RNA - genetics RNA - metabolism RNA-seq Sequence analysis Software |
title | Protocol to process crosslinking and immunoprecipitation data into annotated binding sites |
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