Literature DB >> 20835789

Sequencing and genome assembly using next-generation technologies.

Niranjan Nagarajan1, Mihai Pop.   

Abstract

Several sequencing technologies have been introduced in recent years that dramatically outperform the traditional Sanger technology in terms of throughput and cost. The data generated by these technologies are characterized by generally shorter read lengths (as low as 35 bp) and different error characteristics than Sanger data. Existing software tools for assembly and analysis of sequencing data are, therefore, ill-suited to handle the new types of data generated. This paper surveys the recent software packages aimed specifically at analyzing new generation sequencing data.

Mesh:

Year:  2010        PMID: 20835789     DOI: 10.1007/978-1-60761-842-3_1

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


  13 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

2.  HiCanu: accurate assembly of segmental duplications, satellites, and allelic variants from high-fidelity long reads.

Authors:  Sergey Nurk; Brian P Walenz; Arang Rhie; Mitchell R Vollger; Glennis A Logsdon; Robert Grothe; Karen H Miga; Evan E Eichler; Adam M Phillippy; Sergey Koren
Journal:  Genome Res       Date:  2020-08-14       Impact factor: 9.043

Review 3.  Unpredictability of metabolism--the key role of metabolomics science in combination with next-generation genome sequencing.

Authors:  Wolfram Weckwerth
Journal:  Anal Bioanal Chem       Date:  2011-05-10       Impact factor: 4.142

4.  Next generation sequence assembly with AMOS.

Authors:  Todd J Treangen; Dan D Sommer; Florent E Angly; Sergey Koren; Mihai Pop
Journal:  Curr Protoc Bioinformatics       Date:  2011-03

Review 5.  Sequencing technologies and genome sequencing.

Authors:  Chandra Shekhar Pareek; Rafal Smoczynski; Andrzej Tretyn
Journal:  J Appl Genet       Date:  2011-06-23       Impact factor: 3.240

6.  BacMap: an up-to-date electronic atlas of annotated bacterial genomes.

Authors:  Joseph Cruz; Yifeng Liu; Yongjie Liang; You Zhou; Michael Wilson; Jonathan J Dennis; Paul Stothard; Gary Van Domselaar; David S Wishart
Journal:  Nucleic Acids Res       Date:  2011-12-01       Impact factor: 16.971

7.  Comparative omics-driven genome annotation refinement: application across Yersiniae.

Authors:  Alexandra C Schrimpe-Rutledge; Marcus B Jones; Sadhana Chauhan; Samuel O Purvine; James A Sanford; Matthew E Monroe; Heather M Brewer; Samuel H Payne; Charles Ansong; Bryan C Frank; Richard D Smith; Scott N Peterson; Vladimir L Motin; Joshua N Adkins
Journal:  PLoS One       Date:  2012-03-27       Impact factor: 3.240

8.  A next generation semiconductor based sequencing approach for the identification of meat species in DNA mixtures.

Authors:  Francesca Bertolini; Marco Ciro Ghionda; Enrico D'Alessandro; Claudia Geraci; Vincenzo Chiofalo; Luca Fontanesi
Journal:  PLoS One       Date:  2015-04-29       Impact factor: 3.240

9.  Unraveling genomic variation from next generation sequencing data.

Authors:  Georgios A Pavlopoulos; Anastasis Oulas; Ernesto Iacucci; Alejandro Sifrim; Yves Moreau; Reinhard Schneider; Jan Aerts; Ioannis Iliopoulos
Journal:  BioData Min       Date:  2013-07-25       Impact factor: 2.522

10.  Effects of GC bias in next-generation-sequencing data on de novo genome assembly.

Authors:  Yen-Chun Chen; Tsunglin Liu; Chun-Hui Yu; Tzen-Yuh Chiang; Chi-Chuan Hwang
Journal:  PLoS One       Date:  2013-04-29       Impact factor: 3.240

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