Literature DB >> 25939056

The Theory and Practice of Genome Sequence Assembly.

Jared T Simpson1, Mihai Pop.   

Abstract

The current genomic revolution was made possible by joint advances in genome sequencing technologies and computational approaches for analyzing sequence data. The close interaction between biologists and computational scientists is perhaps most apparent in the development of approaches for sequencing entire genomes, a feat that would not be possible without sophisticated computational tools called genome assemblers (short for genome sequence assemblers). Here, we survey the key developments in algorithms for assembling genome sequences since the development of the first DNA sequencing methods more than 35 years ago.

Keywords:  algorithm; bioinformatics; genome sequencing; sequence assembly; shotgun sequencing

Mesh:

Year:  2015        PMID: 25939056     DOI: 10.1146/annurev-genom-090314-050032

Source DB:  PubMed          Journal:  Annu Rev Genomics Hum Genet        ISSN: 1527-8204            Impact factor:   8.929


  29 in total

Review 1.  A Primer on Infectious Disease Bacterial Genomics.

Authors:  Tarah Lynch; Aaron Petkau; Natalie Knox; Morag Graham; Gary Van Domselaar
Journal:  Clin Microbiol Rev       Date:  2016-09-07       Impact factor: 26.132

Review 2.  Shotgun metagenomics, from sampling to analysis.

Authors:  Christopher Quince; Alan W Walker; Jared T Simpson; Nicholas J Loman; Nicola Segata
Journal:  Nat Biotechnol       Date:  2017-09-12       Impact factor: 54.908

3.  Assembler artifacts include misassembly because of unsafe unitigs and underassembly because of bidirected graphs.

Authors:  Amatur Rahman; Paul Medvedev
Journal:  Genome Res       Date:  2022-07-27       Impact factor: 9.438

4.  Scalable, ultra-fast, and low-memory construction of compacted de Bruijn graphs with Cuttlefish 2.

Authors:  Jamshed Khan; Marek Kokot; Sebastian Deorowicz; Rob Patro
Journal:  Genome Biol       Date:  2022-09-08       Impact factor: 17.906

Review 5.  Metagenome Analysis Exploiting High-Throughput Chromosome Conformation Capture (3C) Data.

Authors:  Martial Marbouty; Romain Koszul
Journal:  Trends Genet       Date:  2015-11-19       Impact factor: 11.639

6.  In Silico Whole Genome Sequencer and Analyzer (iWGS): a Computational Pipeline to Guide the Design and Analysis of de novo Genome Sequencing Studies.

Authors:  Xiaofan Zhou; David Peris; Jacek Kominek; Cletus P Kurtzman; Chris Todd Hittinger; Antonis Rokas
Journal:  G3 (Bethesda)       Date:  2016-11-08       Impact factor: 3.154

7.  A safe and complete algorithm for metagenomic assembly.

Authors:  Nidia Obscura Acosta; Veli Mäkinen; Alexandru I Tomescu
Journal:  Algorithms Mol Biol       Date:  2018-02-07       Impact factor: 1.405

8.  Diversity in a Polymicrobial Community Revealed by Analysis of Viromes, Endolysins and CRISPR Spacers.

Authors:  Michelle Davison; Todd J Treangen; Sergey Koren; Mihai Pop; Devaki Bhaya
Journal:  PLoS One       Date:  2016-09-09       Impact factor: 3.240

9.  Contiguous and accurate de novo assembly of metazoan genomes with modest long read coverage.

Authors:  Mahul Chakraborty; James G Baldwin-Brown; Anthony D Long; J J Emerson
Journal:  Nucleic Acids Res       Date:  2016-07-25       Impact factor: 16.971

10.  Virtual Genome Walking across the 32 Gb Ambystoma mexicanum genome; assembling gene models and intronic sequence.

Authors:  Teri Evans; Andrew D Johnson; Matthew Loose
Journal:  Sci Rep       Date:  2018-01-12       Impact factor: 4.379

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