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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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https://doi.org/10.1007/978-3-030-79446-0ifferent reference species to a target species. Here, we present a detailed description of GeMoMa modules and the GeMoMa pipeline and how they can be used on the command line to address particular biological problems.
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The Pathology of Trophoblastic Tumours,unctional annotation phase to infer protein functions. DFAST generates result files in standard annotation formats and data files for submission to DNA Data Bank of Japan (DDBJ). In this chapter, the annotation workflow and applications of DFAST are introduced.
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GeMoMa: Homology-Based Gene Prediction Utilizing Intron Position Conservation and RNA-seq Data,ifferent reference species to a target species. Here, we present a detailed description of GeMoMa modules and the GeMoMa pipeline and how they can be used on the command line to address particular biological problems.
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Generating Publication-Ready Prokaryotic Genome Annotations with DFAST,unctional annotation phase to infer protein functions. DFAST generates result files in standard annotation formats and data files for submission to DNA Data Bank of Japan (DDBJ). In this chapter, the annotation workflow and applications of DFAST are introduced.
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tRNAscan-SE: Searching for tRNA Genes in Genomic Sequences,cting tRNA genes in whole genomes. The newly developed version 2.0 has incorporated advanced methodologies with improved probabilistic search software and a suite of new gene models, enabling better functional classification of predicted genes. This chapter describes the use of the UNIX command-driv
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