Literature DB >> 22684961

Laboratory information management systems for DNA barcoding.

Meaghan Parker1, Steven Stones-Havas, Craig Starger, Christopher Meyer.   

Abstract

In the field of molecular biology, laboratory information management systems (LIMSs) have been created to track workflows through a process pipeline. For the purposes of DNA barcoding, this workflow involves tracking tissues through extraction, PCR, cycle sequencing, and consensus assembly. Importantly, a LIMS that serves the DNA barcoding community must link required elements for public submissions (e.g., primers, trace files) that are generated in the molecular lab with specimen metadata. Here, we demonstrate an example workflow of a specimen's entry into the LIMS database to the publishing of the specimen's genetic data to a public database using Geneious bioinformatics software. Throughout the process, the connections between steps in the workflow are maintained to facilitate post-processing annotation, structured reporting, and fully transparent edits to reduce subjectivity and increase repeatability.

Mesh:

Year:  2012        PMID: 22684961     DOI: 10.1007/978-1-61779-591-6_13

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


  5 in total

1.  Interbreeding among deeply divergent mitochondrial lineages in the American cockroach (Periplaneta americana).

Authors:  Christoph von Beeren; Mark Y Stoeckle; Joyce Xia; Griffin Burke; Daniel J C Kronauer
Journal:  Sci Rep       Date:  2015-02-06       Impact factor: 4.379

2.  Community Sampling and Integrative Taxonomy Reveal New Species and Host Specificity in the Army Ant-Associated Beetle Genus Tetradonia (Coleoptera, Staphylinidae, Aleocharinae).

Authors:  Christoph von Beeren; Munetoshi Maruyama; Daniel J C Kronauer
Journal:  PLoS One       Date:  2016-11-09       Impact factor: 3.240

3.  Chemical and behavioral integration of army ant-associated rove beetles - a comparison between specialists and generalists.

Authors:  Christoph von Beeren; Adrian Brückner; Munetoshi Maruyama; Griffin Burke; Jana Wieschollek; Daniel J C Kronauer
Journal:  Front Zool       Date:  2018-03-16       Impact factor: 3.172

4.  cual-id: Globally Unique, Correctable, and Human-Friendly Sample Identifiers for Comparative Omics Studies.

Authors:  John H Chase; Evan Bolyen; Jai Ram Rideout; J Gregory Caporaso
Journal:  mSystems       Date:  2015-12-22       Impact factor: 6.496

5.  Categorization of species as native or nonnative using DNA sequence signatures without a complete reference library.

Authors:  Jeremy C Andersen; Peter Oboyski; Neil Davies; Sylvain Charlat; Curtis Ewing; Christopher Meyer; Henrik Krehenwinkel; Jun Ying Lim; Suzuki Noriyuki; Thibault Ramage; Rosemary G Gillespie; George K Roderick
Journal:  Ecol Appl       Date:  2019-06-12       Impact factor: 4.657

  5 in total

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