Literature DB >> 24447136

AG-NGS: a powerful and user-friendly computing application for the semi-automated preparation of next-generation sequencing libraries using open liquid handling platforms.

Sergio Callejas1, Rebeca Álvarez1, Alberto Benguria1, Ana Dopazo1.   

Abstract

Next-generation sequencing (NGS) is becoming one of the most widely used technologies in the field of genomics. Library preparation is one of the most critical, hands-on, and time-consuming steps in the NGS workflow. Each library must be prepared in an independent well, increasing the number of hours required for a sequencing run and the risk of human-introduced error. Automation of library preparation is the best option to avoid these problems. With this in mind, we have developed automatic genomics NGS (AG-NGS), a computing application that allows an open liquid handling platform to be transformed into a library preparation station without losing the potential of an open platform. Implementation of AG-NGS does not require programming experience, and the application has also been designed to minimize implementation costs. Automated library preparation with AG-NGS generated high-quality libraries from different samples, demonstrating its efficiency, and all quality control parameters fell within the range of optimal values.

Entities:  

Keywords:  automation; liquid handling robot; next-generation sequencing; sample preparation; software

Mesh:

Year:  2014        PMID: 24447136     DOI: 10.2144/000114124

Source DB:  PubMed          Journal:  Biotechniques        ISSN: 0736-6205            Impact factor:   1.993


  7 in total

1.  Comprehensive human virus screening using high-throughput sequencing with a user-friendly representation of bioinformatics analysis: a pilot study.

Authors:  Tom J Petty; Samuel Cordey; Ismael Padioleau; Mylène Docquier; Lara Turin; Olivier Preynat-Seauve; Evgeny M Zdobnov; Laurent Kaiser
Journal:  J Clin Microbiol       Date:  2014-07-09       Impact factor: 5.948

2.  Automating ChIP-seq experiments to generate epigenetic profiles on 10,000 HeLa cells.

Authors:  Geoffrey Berguet; Jan Hendrickx; Celine Sabatel; Miklos Laczik; Sharon Squazzo; Ignacio Mazon Pelaez; Rini Saxena; Helene Pendeville; Dominique Poncelet
Journal:  J Vis Exp       Date:  2014-12-10       Impact factor: 1.355

3.  An automated approach to prepare tissue-derived spatially barcoded RNA-sequencing libraries.

Authors:  Anders Jemt; Fredrik Salmén; Anna Lundmark; Annelie Mollbrink; José Fernández Navarro; Patrik L Ståhl; Tülay Yucel-Lindberg; Joakim Lundeberg
Journal:  Sci Rep       Date:  2016-11-16       Impact factor: 4.379

4.  The pharmaceutical solvent N-methyl-2-pyrollidone (NMP) attenuates inflammation through Krüppel-like factor 2 activation to reduce atherogenesis.

Authors:  Marta Roche-Molina; Bryn Hardwick; Cristina Sanchez-Ramos; David Sanz-Rosa; Dirk Gewert; Francisco M Cruz; Andres Gonzalez-Guerra; Vicente Andres; Joaquin A Palma; Borja Ibanez; Grahame Mckenzie; Juan A Bernal
Journal:  Sci Rep       Date:  2020-07-15       Impact factor: 4.379

5.  Miniaturization and optimization of 384-well compatible RNA sequencing library preparation.

Authors:  Madeline Y Mayday; Lillian M Khan; Eric D Chow; Matt S Zinter; Joseph L DeRisi
Journal:  PLoS One       Date:  2019-01-10       Impact factor: 3.240

6.  Automation of Spatial Transcriptomics library preparation to enable rapid and robust insights into spatial organization of tissues.

Authors:  Emelie Berglund; Sami Saarenpää; Anders Jemt; Joel Gruselius; Ludvig Larsson; Ludvig Bergenstråhle; Joakim Lundeberg; Stefania Giacomello
Journal:  BMC Genomics       Date:  2020-04-15       Impact factor: 3.969

7.  Automated Workflow for Somatic and Germline Next Generation Sequencing Analysis in Routine Clinical Cancer Diagnostics.

Authors:  Lucia Anna Muscarella; Federico Pio Fabrizio; Maria De Bonis; Maria Teresa Mancini; Teresa Balsamo; Paolo Graziano; Flavia Centra; Angelo Sparaneo; Domenico Trombetta; Antonio Bonfitto; Vito Scagliusi; Pietro Larizza; Ettore Domenico Capoluongo; Vito Michele Fazio
Journal:  Cancers (Basel)       Date:  2019-10-30       Impact factor: 6.639

  7 in total

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