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FunGAP从基因组组装和RNA测序读数预测真菌基因的实用指南。

Practical Guide for Fungal Gene Prediction from Genome Assembly and RNA-Seq Reads by FunGAP.

作者信息

Min Byoungnam, Choi In-Geol

机构信息

Department of Biotechnology, College of Life Sciences and Biotechnology, Korea University, Seoul, South Korea.

出版信息

Methods Mol Biol. 2019;1962:53-64. doi: 10.1007/978-1-4939-9173-0_4.

Abstract

FunGAP is a Python-wrapped fungal genome annotation pipeline running under the Linux/Unix operating system. The annotation procedure used in FunGAP requires two inputs, genome assembly and RNA-seq reads. FunGAP aims to predict the most feasible gene from all plausible gene models obtained from various gene prediction programs using multiple strategies such as ab initio, EST-, and/or homology-based methods. This guide covers how to run the FunGAP from the command line and use various options for practical gene prediction. Users can choose options for quality control of the input sequences, selecting model database, filtration of predicted gene models, and post-process such as checking genome completeness and transposable elements. Using FunGAP, the user will acquire a high-quality fungal gene prediction for post-genome sequencing analysis.

摘要

FunGAP是一个在Linux/Unix操作系统下运行的由Python包装的真菌基因组注释流程。FunGAP中使用的注释程序需要两个输入,即基因组组装和RNA测序 reads。FunGAP旨在使用多种策略(如从头预测、基于EST和/或基于同源性的方法),从各种基因预测程序获得的所有合理基因模型中预测最可行的基因。本指南涵盖了如何从命令行运行FunGAP以及如何使用各种选项进行实际的基因预测。用户可以选择用于输入序列质量控制、选择模型数据库、过滤预测的基因模型以及诸如检查基因组完整性和转座元件等后处理的选项。使用FunGAP,用户将获得用于基因组测序后分析的高质量真菌基因预测结果。

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