In‐depth comparative analysis of Illumina ® MiSeq run metrics: Development of a wet‐lab quality assessment tool-Reference-Cited by-同舟云学术

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In‐depth comparative analysis of Illumina ® MiSeq run metrics: Development of a wet‐lab quality assessment tool

Published:2019-01-17 Issue:2 Volume:19 Page:377-387
ISSN:1755-098X
Container-title:Molecular Ecology Resources
language:en
Short-container-title:Mol Ecol Resour

Author:

Kastanis George John¹^ORCID,Santana‐Quintero Luis V.²,Sanchez‐Leon Maria¹,Lomonaco Sara¹³,Brown Eric W.¹,Allard Marc W.¹

Affiliation:

1. Department of Microbiology, Center for Food Safety and Applied Nutrition US Food and Drug Administration College Park Maryland

2. Office of Hematology and Oncology Products, Center for Drug Evaluation and Research US Food and Drug Administration Silver Spring Maryland

3. Department of Veterinary Sciences Università degli Studi di Torino Grugliasco Turin Italy

Funder

Oak Ridge Institute for Science and Education

Food and Drug Administration

Publisher

Wiley

Subject

Genetics,Ecology, Evolution, Behavior and Systematics,Biotechnology

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/1755-0998.12973

Reference18 articles.

1. Practical Value of Food Pathogen Traceability through Building a Whole-Genome Sequencing Network and Database

2. Preparation of Next-Generation Sequencing Libraries Using Nextera™ Technology: Simultaneous DNA Fragmentation and Adaptor Tagging by In Vitro Transposition

3. Ding C. &He X.(2004).K‐means clustering via principal component analysis. Paper presented at ICML '04: Proceedings of the twenty‐first international conference on Machine learning.Banff Canada. New York NY:Association for Computing Machinery.https://doi.org/10.1145/1015330.1015408

4. Base-Calling of Automated Sequencer Traces Using Phred. II. Error Probabilities

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