Hopper: software for automating data tracking and flow in DNA sequencing | Zendy

T. M. F. Smith | Zendy; Chris Abajian | Zendy; Leroy Hood | Zendy

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Hopper: software for automating data tracking and flow in DNA sequencing

Author(s) -

T. M. F. Smith,

Chris Abajian,

Leroy Hood

Publication year - 1997

Publication title -

bioinformatics

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 3.599

H-Index - 390

eISSN - 1367-4811

pISSN - 1367-4803

DOI - 10.1093/bioinformatics/13.2.175

Subject(s) - workflow , software , computer science , data mining , scale (ratio) , dna sequencing , tracking (education) , sample (material) , bittorrent tracker , process (computing) , work flow , dna , database , chromatography , artificial intelligence , engineering , eye tracking , biology , operating system , chemistry , genetics , industrial engineering , psychology , pedagogy , physics , quantum mechanics

Genome-scale DNA sequencing is a multistep process in which large numbers of small template clones are propagated, purified, sequenced and analyzed on acrylamide gels. A significant challenge to these projects is the scale at which the data handling must be done. Hence, large-scale sequencing facilities will benefit from tracking template DNA information (purification methods, reaction and electrophoresis conditions) in a systematic fashion. A lack of software tools that support automated sample entry, and automatic data storage, retrieval and analysis are a major hindrance to recording and using laboratory workflow information to monitor the overall quality of data production.

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