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Gene Prediction

Overview of attention for book
Cover of 'Gene Prediction'

Table of Contents

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    Book Overview
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    Chapter 1 tRNAscan-SE: Searching for tRNA Genes in Genomic Sequences
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    Chapter 2 Predicting RNA Families in Nucleotide Sequences Using StructRNAfinder
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    Chapter 3 Structural and Functional Annotation of Eukaryotic Genomes with GenSAS
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    Chapter 4 Practical Guide for Fungal Gene Prediction from Genome Assembly and RNA-Seq Reads by FunGAP
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    Chapter 5 Whole-Genome Annotation with BRAKER
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    Chapter 6 EuGene: An Automated Integrative Gene Finder for Eukaryotes and Prokaryotes
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    Chapter 7 ChemGenome2.1: An Ab Initio Gene Prediction Software
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    Chapter 8 Multi-Genome Annotation with AUGUSTUS
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    Chapter 9 GeMoMa: Homology-Based Gene Prediction Utilizing Intron Position Conservation and RNA-seq Data
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    Chapter 10 Coding Exon-Structure Aware Realigner (CESAR): Utilizing Genome Alignments for Comparative Gene Annotation
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    Chapter 11 Predicting Genes in Closely Related Species with Scipio and WebScipio
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    Chapter 12 AnABlast: Re-searching for Protein-Coding Sequences in Genomic Regions
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    Chapter 13 Generating Publication-Ready Prokaryotic Genome Annotations with DFAST
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    Chapter 14 BUSCO: Assessing Genome Assembly and Annotation Completeness
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    Chapter 15 Evaluating Genome Assemblies and Gene Models Using gVolante
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    Chapter 16 Choosing the Best Gene Predictions with GeneValidator
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    Chapter 17 COGNATE: Comparative Gene Annotation Characterizer
Attention for Chapter 2: Predicting RNA Families in Nucleotide Sequences Using StructRNAfinder
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Chapter title
Predicting RNA Families in Nucleotide Sequences Using StructRNAfinder
Chapter number 2
Book title
Gene Prediction
Published by
Humana, New York, NY, January 2019
DOI 10.1007/978-1-4939-9173-0_2
Pubmed ID
Book ISBNs
978-1-4939-9172-3, 978-1-4939-9173-0

Vinicius Maracaja-Coutinho, Raúl Arias-Carrasco, Helder I. Nakaya, Victor Aliaga-Tobar, Maracaja-Coutinho, Vinicius, Arias-Carrasco, Raúl, Nakaya, Helder I., Aliaga-Tobar, Victor

Twitter Demographics

The data shown below were collected from the profiles of 7 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 2 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 2 100%

Demographic breakdown

Readers by professional status Count As %
Professor 1 50%
Student > Bachelor 1 50%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 1 50%
Computer Science 1 50%