Literature DB >> 28337071

International Standards for Genomes, Transcriptomes, and Metagenomes.

Christopher E Mason1, Ebrahim Afshinnekoo2, Scott Tighe3, Shixiu Wu4, Shawn Levy5.   

Abstract

Challenges and biases in preparing, characterizing, and sequencing DNA and RNA can have significant impacts on research in genomics across all kingdoms of life, including experiments in single-cells, RNA profiling, and metagenomics (across multiple genomes). Technical artifacts and contamination can arise at each point of sample manipulation, extraction, sequencing, and analysis. Thus, the measurement and benchmarking of these potential sources of error are of paramount importance as next-generation sequencing (NGS) projects become more global and ubiquitous. Fortunately, a variety of methods, standards, and technologies have recently emerged that improve measurements in genomics and sequencing, from the initial input material to the computational pipelines that process and annotate the data. Here we review current standards and their applications in genomics, including whole genomes, transcriptomes, mixed genomic samples (metagenomes), and the modified bases within each (epigenomes and epitranscriptomes). These standards, tools, and metrics are critical for quantifying the accuracy of NGS methods, which will be essential for robust approaches in clinical genomics and precision medicine.

Entities:  

Keywords:  epigenomics; epitranscriptomics; genomics; metagenomics; transcriptomics

Mesh:

Substances:

Year:  2017        PMID: 28337071      PMCID: PMC5359768          DOI: 10.7171/jbt.17-2801-006

Source DB:  PubMed          Journal:  J Biomol Tech        ISSN: 1524-0215


  78 in total

1.  Multi-platform assessment of transcriptome profiling using RNA-seq in the ABRF next-generation sequencing study.

Authors:  Sheng Li; Scott W Tighe; Charles M Nicolet; Deborah Grove; Shawn Levy; William Farmerie; Agnes Viale; Chris Wright; Peter A Schweitzer; Yuan Gao; Dewey Kim; Joe Boland; Belynda Hicks; Ryan Kim; Sagar Chhangawala; Nadereh Jafari; Nalini Raghavachari; Jorge Gandara; Natàlia Garcia-Reyero; Cynthia Hendrickson; David Roberson; Jeffrey Rosenfeld; Todd Smith; Jason G Underwood; May Wang; Paul Zumbo; Don A Baldwin; George S Grills; Christopher E Mason
Journal:  Nat Biotechnol       Date:  2014-08-24       Impact factor: 54.908

2.  Comprehensive analysis of mRNA methylation reveals enrichment in 3' UTRs and near stop codons.

Authors:  Kate D Meyer; Yogesh Saletore; Paul Zumbo; Olivier Elemento; Christopher E Mason; Samie R Jaffrey
Journal:  Cell       Date:  2012-05-17       Impact factor: 41.582

3.  The RNA Modification Database, RNAMDB: 2011 update.

Authors:  William A Cantara; Pamela F Crain; Jef Rozenski; James A McCloskey; Kimberly A Harris; Xiaonong Zhang; Franck A P Vendeix; Daniele Fabris; Paul F Agris
Journal:  Nucleic Acids Res       Date:  2010-11-10       Impact factor: 16.971

4.  Ultra-low-input, tagmentation-based whole-genome bisulfite sequencing.

Authors:  Andrew Adey; Jay Shendure
Journal:  Genome Res       Date:  2012-03-30       Impact factor: 9.043

5.  Single-nucleotide-resolution mapping of m6A and m6Am throughout the transcriptome.

Authors:  Bastian Linder; Anya V Grozhik; Anthony O Olarerin-George; Cem Meydan; Christopher E Mason; Samie R Jaffrey
Journal:  Nat Methods       Date:  2015-06-29       Impact factor: 28.547

6.  Detecting and correcting systematic variation in large-scale RNA sequencing data.

Authors:  Sheng Li; Paweł P Łabaj; Paul Zumbo; Peter Sykacek; Wei Shi; Leming Shi; John Phan; Po-Yen Wu; May Wang; Charles Wang; Danielle Thierry-Mieg; Jean Thierry-Mieg; David P Kreil; Christopher E Mason
Journal:  Nat Biotechnol       Date:  2014-08-24       Impact factor: 54.908

7.  Defining the sequence requirements for the positioning of base J in DNA using SMRT sequencing.

Authors:  Paul-Andre Genest; Loren Baugh; Alex Taipale; Wanqi Zhao; Sabrina Jan; Henri G A M van Luenen; Jonas Korlach; Tyson Clark; Khai Luong; Matthew Boitano; Steve Turner; Peter J Myler; Piet Borst
Journal:  Nucleic Acids Res       Date:  2015-02-06       Impact factor: 16.971

8.  Single-cell triple omics sequencing reveals genetic, epigenetic, and transcriptomic heterogeneity in hepatocellular carcinomas.

Authors:  Yu Hou; Huahu Guo; Chen Cao; Xianlong Li; Boqiang Hu; Ping Zhu; Xinglong Wu; Lu Wen; Fuchou Tang; Yanyi Huang; Jirun Peng
Journal:  Cell Res       Date:  2016-02-23       Impact factor: 25.617

9.  Geospatial Resolution of Human and Bacterial Diversity with City-Scale Metagenomics.

Authors:  Ebrahim Afshinnekoo; Cem Meydan; Shanin Chowdhury; Dyala Jaroudi; Collin Boyer; Nick Bernstein; Julia M Maritz; Darryl Reeves; Jorge Gandara; Sagar Chhangawala; Sofia Ahsanuddin; Amber Simmons; Timothy Nessel; Bharathi Sundaresh; Elizabeth Pereira; Ellen Jorgensen; Sergios-Orestis Kolokotronis; Nell Kirchberger; Isaac Garcia; David Gandara; Sean Dhanraj; Tanzina Nawrin; Yogesh Saletore; Noah Alexander; Priyanka Vijay; Elizabeth M Hénaff; Paul Zumbo; Michael Walsh; Gregory D O'Mullan; Scott Tighe; Joel T Dudley; Anya Dunaif; Sean Ennis; Eoghan O'Halloran; Tiago R Magalhaes; Braden Boone; Angela L Jones; Theodore R Muth; Katie Schneider Paolantonio; Elizabeth Alter; Eric E Schadt; Jeanne Garbarino; Robert J Prill; Jane M Carlton; Shawn Levy; Christopher E Mason
Journal:  Cell Syst       Date:  2015-03-03       Impact factor: 10.304

10.  A metagenomic framework for the study of airborne microbial communities.

Authors:  Shibu Yooseph; Cynthia Andrews-Pfannkoch; Aaron Tenney; Jeff McQuaid; Shannon Williamson; Mathangi Thiagarajan; Daniel Brami; Lisa Zeigler-Allen; Jeff Hoffman; Johannes B Goll; Douglas Fadrosh; John Glass; Mark D Adams; Robert Friedman; J Craig Venter
Journal:  PLoS One       Date:  2013-12-11       Impact factor: 3.240

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  13 in total

Review 1.  Genetic and epigenetic heterogeneity and the impact on cancer relapse.

Authors:  Ciaran Hassan; Ebrahim Afshinnekoo; Sheng Li; Shixiu Wu; Christopher E Mason
Journal:  Exp Hematol       Date:  2017-07-10       Impact factor: 3.084

Review 2.  A Review of the Scientific Rigor, Reproducibility, and Transparency Studies Conducted by the ABRF Research Groups.

Authors:  Sheenah M Mische; Nancy C Fisher; Susan M Meyn; Katia Sol-Church; Rebecca L Hegstad-Davies; Frances Weis-Garcia; Marie Adams; John M Ashton; Kym M Delventhal; Julie A Dragon; Laura Holmes; Pratik Jagtap; Kristopher E Kubow; Christopher E Mason; Magnus Palmblad; Brian C Searle; Christoph W Turck; Kevin L Knudtson
Journal:  J Biomol Tech       Date:  2020-04

3.  Comprehensive benchmarking and ensemble approaches for metagenomic classifiers.

Authors:  Alexa B R McIntyre; Rachid Ounit; Ebrahim Afshinnekoo; Robert J Prill; Elizabeth Hénaff; Noah Alexander; Samuel S Minot; David Danko; Jonathan Foox; Sofia Ahsanuddin; Scott Tighe; Nur A Hasan; Poorani Subramanian; Kelly Moffat; Shawn Levy; Stefano Lonardi; Nick Greenfield; Rita R Colwell; Gail L Rosen; Christopher E Mason
Journal:  Genome Biol       Date:  2017-09-21       Impact factor: 13.583

4.  Network analysis for estimating standardization trends in genomics using MEDLINE.

Authors:  Eun Bit Bae; Sejin Nam; Sungin Lee; Sun-Ju Ahn
Journal:  BMC Med Res Methodol       Date:  2022-10-07       Impact factor: 4.612

Review 5.  Loop-Mediated Isothermal Amplification Detection of SARS-CoV-2 and Myriad Other Applications.

Authors:  Keith J M Moore; Jeremy Cahill; Guy Aidelberg; Rachel Aronoff; Ali Bektaş; Daniela Bezdan; Daniel J Butler; Sridar V Chittur; Martin Codyre; Fernan Federici; Nathan A Tanner; Scott W Tighe; Randy True; Sarah B Ware; Anne L Wyllie; Evan E Afshin; Andres Bendesky; Connie B Chang; Richard Dela Rosa; Eran Elhaik; David Erickson; Andrew S Goldsborough; George Grills; Kathrin Hadasch; Andrew Hayden; Seong-Young Her; Julie A Karl; Chang Hee Kim; Alison J Kriegel; Thomas Kunstman; Zeph Landau; Kevin Land; Bradley W Langhorst; Ariel B Lindner; Benjamin E Mayer; Lee A McLaughlin; Matthew T McLaughlin; Jenny Molloy; Christopher Mozsary; Jerry L Nadler; Melinee D'Silva; David Ng; David H O'Connor; Jerry E Ongerth; Olayinka Osuolale; Ana Pinharanda; Dennis Plenker; Ravi Ranjan; Michael Rosbash; Assaf Rotem; Jacob Segarra; Stephan Schürer; Scott Sherrill-Mix; Helena Solo-Gabriele; Shaina To; Merly C Vogt; Albert D Yu; Christopher E Mason
Journal:  J Biomol Tech       Date:  2021-09

6.  The High-Throughput Analyses Era: Are We Ready for the Data Struggle?

Authors:  Valeria D'Argenio
Journal:  High Throughput       Date:  2018-03-02

7.  Implications of Error-Prone Long-Read Whole-Genome Shotgun Sequencing on Characterizing Reference Microbiomes.

Authors:  Yu Hu; Li Fang; Christopher Nicholson; Kai Wang
Journal:  iScience       Date:  2020-06-02

8.  Large-scale differences in microbial biodiversity discovery between 16S amplicon and shotgun sequencing.

Authors:  Michael Tessler; Johannes S Neumann; Ebrahim Afshinnekoo; Michael Pineda; Rebecca Hersch; Luiz Felipe M Velho; Bianca T Segovia; Fabio A Lansac-Toha; Michael Lemke; Rob DeSalle; Christopher E Mason; Mercer R Brugler
Journal:  Sci Rep       Date:  2017-07-31       Impact factor: 4.379

9.  Communicating the promise, risks, and ethics of large-scale, open space microbiome and metagenome research.

Authors:  Daria Shamarina; Iana Stoyantcheva; Christopher E Mason; Kyle Bibby; Eran Elhaik
Journal:  Microbiome       Date:  2017-10-04       Impact factor: 14.650

10.  Synthetic microbe communities provide internal reference standards for metagenome sequencing and analysis.

Authors:  Simon A Hardwick; Wendy Y Chen; Ted Wong; Bindu S Kanakamedala; Ira W Deveson; Sarah E Ongley; Nadia S Santini; Esteban Marcellin; Martin A Smith; Lars K Nielsen; Catherine E Lovelock; Brett A Neilan; Tim R Mercer
Journal:  Nat Commun       Date:  2018-08-06       Impact factor: 14.919

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