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Titlebook: Gene Prediction; Methods and Protocol Martin Kollmar Book 2019 Springer Science+Business Media, LLC, part of Springer Nature 2019 mGene.Com

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發(fā)表于 2025-3-21 16:29:02 | 只看該作者 |倒序瀏覽 |閱讀模式
書目名稱Gene Prediction
副標題Methods and Protocol
編輯Martin Kollmar
視頻videohttp://file.papertrans.cn/382/381946/381946.mp4
概述Includes cutting-edge methods and protocols.Provides step-by-step detail essential for reproducible results.Contains key notes and implementation advice from the experts
叢書名稱Methods in Molecular Biology
圖書封面Titlebook: Gene Prediction; Methods and Protocol Martin Kollmar Book 2019 Springer Science+Business Media, LLC, part of Springer Nature 2019 mGene.Com
描述This volume introduces software used for gene prediction with focus on eukaryotic genomes. The chapters in this book describe software and web server usage as applied in common use-cases, and explain ways to simplify re-annotation of long available genome assemblies. Written in the highly successful .Methods in Molecular Biology. series format, chapters include introductions to their respective topics, lists of the necessary computational requirements, step-by-step, readily reproducible computational protocols, and tips on troubleshooting and avoiding known pitfalls..Cutting-edge and thorough, .Gene Prediction: Methods and Protocols. is a valuable resource for researchers and research groups working on the assembly and annotation of single species or small groups of species.?.Chapter 3 is available open access under a CC BY 4.0 license via link.springer.com..
出版日期Book 2019
關鍵詞mGene; Computational Gene Finding; Generalized Hidden Markov Model; Protein-coding gene prediction; C; e
版次1
doihttps://doi.org/10.1007/978-1-4939-9173-0
isbn_ebook978-1-4939-9173-0Series ISSN 1064-3745 Series E-ISSN 1940-6029
issn_series 1064-3745
copyrightSpringer Science+Business Media, LLC, part of Springer Nature 2019
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Structural and Functional Annotation of Eukaryotic Genomes with GenSAS,SAS users enabling collaborative annotation. Once annotation is complete, GenSAS generates the final files of the annotated gene models in common file formats for use with other annotation tools, submission to a repository, and use in publications.
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EuGene: An Automated Integrative Gene Finder for Eukaryotes and Prokaryotes,rediction, EuGene can be considered as purely ab initio, purely similarity based, or hybrid. With the general availability of NGS-transcribed sequence data in genome projects, EuGene adopts a default hybrid behavior that strongly relies on similarity information. Initially targeted at eukaryotic gen
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Choosing the Best Gene Predictions with GeneValidator,be regenerated from a filtered subset of GeneValidator’s JSON output. Subsequently, we demonstrate how GeneValidator’s GUI can be used to complement manual curation efforts. Additionally, we explain how GeneValidator can be used to merge information from multiple annotations by automatically selecti
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ChemGenome2.1: An Ab Initio Gene Prediction Software,
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