Literature DB >> 34718997

Prokaryotic Genome Annotation.

Jeffrey A Kimbrel1, Brendan M Jeffrey2, Christopher S Ward3,4.   

Abstract

In the last decade, the high-throughput and relatively low cost of short-read sequencing technologies have revolutionized prokaryotic genomics. This has led to an exponential increase in the number of bacterial and archaeal genome sequences available, as well as corresponding increase of genome assembly and annotation tools developed. Together, these hardware and software technologies have given scientists unprecedented options to study their chosen microbial systems without the need for large teams of bioinformaticists or supercomputing facilities. While these analysis tools largely fall into only a few categories, each may have different requirements, caveats and file formats, and some may be rarely updated or even abandoned. And so, despite the apparent ease in sequencing and analyzing a prokaryotic genome, it is no wonder that the budding genomicist may quickly find oneself overwhelmed. Here, we aim to provide the reader with an overview of genome annotation and its most important considerations, as well as an easy-to-follow protocol to get started with annotating a prokaryotic genome.
© 2022. Springer Science+Business Media, LLC, part of Springer Nature.

Entities:  

Keywords:  Functional annotation; Gene prediction; Genome annotation; Prokaryote sequencing; Structural annotation

Mesh:

Year:  2022        PMID: 34718997     DOI: 10.1007/978-1-0716-1585-0_10

Source DB:  PubMed          Journal:  Methods Mol Biol        ISSN: 1064-3745


  51 in total

Review 1.  Single cell genomics: an individual look at microbes.

Authors:  Ramunas Stepanauskas
Journal:  Curr Opin Microbiol       Date:  2012-09-29       Impact factor: 7.934

2.  Evaluation of nine popular de novo assemblers in microbial genome assembly.

Authors:  Esmaeil Forouzan; Masoumeh Sadat Mousavi Maleki; Ali Asghar Karkhane; Bagher Yakhchali
Journal:  J Microbiol Methods       Date:  2017-09-19       Impact factor: 2.363

3.  Gene fragmentation in bacterial draft genomes: extent, consequences and mitigation.

Authors:  Jonathan L Klassen; Cameron R Currie
Journal:  BMC Genomics       Date:  2012-01-10       Impact factor: 3.969

4.  CheckM: assessing the quality of microbial genomes recovered from isolates, single cells, and metagenomes.

Authors:  Donovan H Parks; Michael Imelfort; Connor T Skennerton; Philip Hugenholtz; Gene W Tyson
Journal:  Genome Res       Date:  2015-05-14       Impact factor: 9.043

Review 5.  Profiling the orphan enzymes.

Authors:  Maria Sorokina; Mark Stam; Claudine Médigue; Olivier Lespinet; David Vallenet
Journal:  Biol Direct       Date:  2014-06-06       Impact factor: 4.540

6.  Next-Generation High-Throughput Functional Annotation of Microbial Genomes.

Authors:  Ralph S Baric; Sean Crosson; Blossom Damania; Samuel I Miller; Eric J Rubin
Journal:  mBio       Date:  2016-10-04       Impact factor: 7.867

7.  Combining multiple functional annotation tools increases coverage of metabolic annotation.

Authors:  Marc Griesemer; Jeffrey A Kimbrel; Carol E Zhou; Ali Navid; Patrik D'haeseleer
Journal:  BMC Genomics       Date:  2018-12-19       Impact factor: 3.969

8.  Minimum information about a single amplified genome (MISAG) and a metagenome-assembled genome (MIMAG) of bacteria and archaea.

Authors:  Robert M Bowers; Nikos C Kyrpides; Ramunas Stepanauskas; Miranda Harmon-Smith; Devin Doud; T B K Reddy; Frederik Schulz; Jessica Jarett; Adam R Rivers; Emiley A Eloe-Fadrosh; Susannah G Tringe; Natalia N Ivanova; Alex Copeland; Alicia Clum; Eric D Becraft; Rex R Malmstrom; Bruce Birren; Mircea Podar; Peer Bork; George M Weinstock; George M Garrity; Jeremy A Dodsworth; Shibu Yooseph; Granger Sutton; Frank O Glöckner; Jack A Gilbert; William C Nelson; Steven J Hallam; Sean P Jungbluth; Thijs J G Ettema; Scott Tighe; Konstantinos T Konstantinidis; Wen-Tso Liu; Brett J Baker; Thomas Rattei; Jonathan A Eisen; Brian Hedlund; Katherine D McMahon; Noah Fierer; Rob Knight; Rob Finn; Guy Cochrane; Ilene Karsch-Mizrachi; Gene W Tyson; Christian Rinke; Alla Lapidus; Folker Meyer; Pelin Yilmaz; Donovan H Parks; A M Eren; Lynn Schriml; Jillian F Banfield; Philip Hugenholtz; Tanja Woyke
Journal:  Nat Biotechnol       Date:  2017-08-08       Impact factor: 54.908

9.  A simple, fast, and accurate method of phylogenomic inference.

Authors:  Martin Wu; Jonathan A Eisen
Journal:  Genome Biol       Date:  2008-10-13       Impact factor: 13.583

10.  Impact of library preparation protocols and template quantity on the metagenomic reconstruction of a mock microbial community.

Authors:  Robert M Bowers; Alicia Clum; Hope Tice; Joanne Lim; Kanwar Singh; Doina Ciobanu; Chew Yee Ngan; Jan-Fang Cheng; Susannah G Tringe; Tanja Woyke
Journal:  BMC Genomics       Date:  2015-10-24       Impact factor: 3.969

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