Literature DB >> 7829071

The genome reconstruction manager: a software environment for supporting high-throughput DNA sequencing.

C B Lawrence1, S Honda, N W Parrott, T C Flood, L Gu, L Zhang, M Jain, S Larson, E W Myers.   

Abstract

A new software system designed for use in high-throughput DNA sequencing laboratories is described. The Genome Reconstruction Manager (GRM) was developed from requirements derived from ongoing large-scale DNA sequencing projects. Object-oriented principles were followed in designing the system, and tools supporting object-oriented system development were employed for its implementation. GRM provides several advances in software support for high-throughput DNA sequencing: support for random, directed, and mixed sequencing strategies; a novel system for fragment assembly; a commercial object data-base management system for data storage; a client/server architecture for using network computational servers; and an underlying data model that can evolve to support fully automatic sequence reconstruction. GRM is currently being deployed for production use in high-throughput DNA sequencing projects.

Mesh:

Year:  1994        PMID: 7829071     DOI: 10.1006/geno.1994.1477

Source DB:  PubMed          Journal:  Genomics        ISSN: 0888-7543            Impact factor:   5.736


  4 in total

1.  CAP3: A DNA sequence assembly program.

Authors:  X Huang; A Madan
Journal:  Genome Res       Date:  1999-09       Impact factor: 9.043

2.  Automated sequence preprocessing in a large-scale sequencing environment.

Authors:  M C Wendl; S Dear; D Hodgson; L Hillier
Journal:  Genome Res       Date:  1998-09       Impact factor: 9.043

3.  A new DNA sequence assembly program.

Authors:  J K Bonfield; K f Smith; R Staden
Journal:  Nucleic Acids Res       Date:  1995-12-25       Impact factor: 16.971

Review 4.  Challenges and opportunities in understanding microbial communities with metagenome assembly (accompanied by IPython Notebook tutorial).

Authors:  Adina Howe; Patrick S G Chain
Journal:  Front Microbiol       Date:  2015-07-09       Impact factor: 5.640

  4 in total

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