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Protein Function Prediction

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Cover of 'Protein Function Prediction'

Table of Contents

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    Book Overview
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    Chapter 1 Using PFP and ESG Protein Function Prediction Web Servers
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    Chapter 2 GHOSTX: A Fast Sequence Homology Search Tool for Functional Annotation of Metagenomic Data
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    Chapter 3 From Gene Annotation to Function Prediction for Metagenomics
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    Chapter 4 An Agile Functional Analysis of Metagenomic Data Using SUPER-FOCUS
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    Chapter 5 MPFit: Computational Tool for Predicting Moonlighting Proteins
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    Chapter 6 Predicting Secretory Proteins with SignalP
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    Chapter 7 The ProFunc Function Prediction Server
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    Chapter 8 G-LoSA for Prediction of Protein-Ligand Binding Sites and Structures
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    Chapter 9 Local Alignment of Ligand Binding Sites in Proteins for Polypharmacology and Drug Repositioning
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    Chapter 10 WATsite2.0 with PyMOL Plugin: Hydration Site Prediction and Visualization
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    Chapter 11 Enzyme Annotation and Metabolic Reconstruction Using KEGG
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    Chapter 12 Ortholog Identification and Comparative Analysis of Microbial Genomes Using MBGD and RECOG
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    Chapter 13 Exploring Protein Function Using the Saccharomyces Genome Database
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    Chapter 14 Network-Based Gene Function Prediction in Mouse and Other Model Vertebrates Using MouseNet Server
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    Chapter 15 The FANTOM5 Computation Ecosystem: Genomic Information Hub for Promoters and Active Enhancers
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    Chapter 16 Multi-Algorithm Particle Simulations with Spatiocyte
Attention for Chapter 12: Ortholog Identification and Comparative Analysis of Microbial Genomes Using MBGD and RECOG
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Chapter title
Ortholog Identification and Comparative Analysis of Microbial Genomes Using MBGD and RECOG
Chapter number 12
Book title
Protein Function Prediction
Published in
Methods in molecular biology, April 2017
DOI 10.1007/978-1-4939-7015-5_12
Pubmed ID
Book ISBNs
978-1-4939-7013-1, 978-1-4939-7015-5
Authors

Ikuo Uchiyama

Editors

Daisuke Kihara

Abstract

Comparative genomics is becoming an essential approach for identification of genes associated with a specific function or phenotype. Here, we introduce the microbial genome database for comparative analysis (MBGD), which is a comprehensive ortholog database among the microbial genomes available so far. MBGD contains several precomputed ortholog tables including the standard ortholog table covering the entire taxonomic range and taxon-specific ortholog tables for various major taxa. In addition, MBGD allows the users to create an ortholog table within any specified set of genomes through dynamic calculations. In particular, MBGD has a "My MBGD" mode where users can upload their original genome sequences and incorporate them into orthology analysis. The created ortholog table can serve as the basis for various comparative analyses. Here, we describe the use of MBGD and briefly explain how to utilize the orthology information during comparative genome analysis in combination with the stand-alone comparative genomics software RECOG, focusing on the application to comparison of closely related microbial genomes.