E
Edward A. Belter
Researcher at Washington University in St. Louis
Publications - 4
Citations - 511
Edward A. Belter is an academic researcher from Washington University in St. Louis. The author has contributed to research in topics: Copy-number variation & Chromosome 19. The author has an hindex of 4, co-authored 4 publications receiving 469 citations.
Papers
More filters
Journal ArticleDOI
Evaluation of 16s rDNA-based community profiling for human microbiome research
Doyle V. Ward,Dirk Gevers,Georgia Giannoukos,Ashlee M. Earl,Barbara A. Methé,Erica Sodergren,Michael Feldgarden,Dawn Ciulla,Diana Tabbaa,Cesar Arze,Elizabeth L. Appelbaum,Leigh Aird,Scott Anderson,Tulin Ayvaz,Edward A. Belter,Monika Bihan,Toby Bloom,Jonathan Crabtree,Laura Courtney,Lynn K. Carmichael,David J. Dooling,Rachel L. Erlich,Candace N. Farmer,Lucinda Fulton,Robert S. Fulton,Hongyu Gao,John Gill,Brian J. Haas,Lisa Hemphill,Otis Hall,Susanna Hamilton,Theresa A. Hepburn,Niall J. Lennon,Vandita Joshi,Cristyn Kells,Christie Kovar,Divya Kalra,Kelvin Li,Lora Lewis,Shawn Leonard,Donna M. Muzny,Elaine R. Mardis,Kathie A. Mihindukulasuriya,Vincent Magrini,Michelle O'Laughlin,Craig Pohl,Xiang Qin,Keenan Ross,Matthew C. Ross,Yu Hui A. Rogers,Navjeet Singh,Yue Shang,Katarzyna Wilczek-Boney,Jennifer R. Wortman,Kim C. Worley,Bonnie P. Youmans,Shibu Yooseph,Yanjiao Zhou,Patrick D. Schloss,Richard K. Wilson,Richard A. Gibbs,Karen E. Nelson,George M. Weinstock,Todd Z. DeSantis,Joseph F. Petrosino,Sarah K. Highlander,Bruce W. Birren +66 more
TL;DR: The data production protocols used for this work are those used by the participating centers to produce 16S rDNA sequence for the Human Microbiome Project, and these results can be informative for interpreting the large body of clinical 16s rDNA data produced for this project.
Journal ArticleDOI
Generation and annotation of the DNA sequences of human chromosomes 2 and 4
LaDeana W. Hillier,Tina Graves,Robert S. Fulton,Lucinda Fulton,Kymberlie H. Pepin,Patrick Minx,Caryn Wagner-McPherson,Dan Layman,Kristine M. Wylie,Mandeep Sekhon,Michael C. Becker,Ginger A. Fewell,Kimberly D. Delehaunty,Tracie L. Miner,William E. Nash,Colin Kremitzki,Lachlan G. Oddy,Hui Du,Hui Sun,Holland Bradshaw-Cordum,Johar Ali,Jason Carter,Matt Cordes,Anthony R. Harris,Amber Isak,Andrew Van Brunt,Christine Nguyen,Feiyu Du,Laura Courtney,Joelle Kalicki,Philip Ozersky,Scott Abbott,Jon R. Armstrong,Edward A. Belter,Lauren Caruso,Maria Cedroni,Marc Cotton,Teresa Davidson,Anu Desai,Glendoria Elliott,Thomas Erb,Catrina Fronick,Tony Gaige,William Haakenson,Krista Haglund,Andrea Holmes,Richard Harkins,Kyung Kim,Scott Kruchowski,Cindy Strong,Neenu Grewal,Ernest Goyea,Shunfang Hou,Andrew Levy,Scott Martinka,Kelly Mead,Michael D. McLellan,Rick Meyer,Jennifer Randall-Maher,Chad Tomlinson,Sara Dauphin-Kohlberg,Amy Kozlowicz-Reilly,Neha Shah,Sharhonda Swearengen-Shahid,Jacqueline E. Snider,Joseph T. Strong,Johanna Thompson,Martin Yoakum,Shawn Leonard,Charlene Pearman,Lee Trani,Maxim Radionenko,Jason Waligorski,Chunyan Wang,Susan M. Rock,Aye Mon Tin-Wollam,Rachel Maupin,Phil Latreille,Michael C. Wendl,Shiaw Pyng Yang,Craig Pohl,John W. Wallis,John Spieth,Tamberlyn Bieri,Nicolas Berkowicz,Joanne O. Nelson,John R. Osborne,Li Ding,Rekha Meyer,Aniko Sabo,Yoram Shotland,Prashant R. Sinha,Patricia Wohldmann,Lisa Cook,Matthew T. Hickenbotham,James M. Eldred,Donald Williams,Thomas A. Jones,Xinwei She,Francesca D. Ciccarelli,Elisa Izaurralde,James Taylor,Jeremy Schmutz,Richard M. Myers,David R. Cox,Xiaoqiu Huang,John Douglas Mcpherson,John Douglas Mcpherson,Elaine R. Mardis,Sandra W. Clifton,Wesley C. Warren,Asif T. Chinwalla,Sean R. Eddy,Marco A. Marra,Marco A. Marra,Ivan Ovcharenko,Terrence S. Furey,Webb Miller,Evan E. Eichler,Peer Bork,Mikita Suyama,David Torrents,Robert H. Waterston,Robert H. Waterston,Richard K. Wilson +124 more
TL;DR: Extensive analyses confirm the underlying construction of the sequence, and expand the understanding of the structure and evolution of mammalian chromosomes, including gene deserts, segmental duplications and highly variant regions.
Journal ArticleDOI
Genome Modeling System: A Knowledge Management Platform for Genomics.
Malachi Griffith,Obi L. Griffith,Scott M. Smith,Avinash Ramu,Matthew B. Callaway,Anthony M. Brummett,Michael J. Kiwala,Adam C. Coffman,Allison A. Regier,Benjamin J. Oberkfell,Gabriel E. Sanderson,Thomas P. Mooney,Nathaniel G. Nutter,Edward A. Belter,Feiyu Du,Robert T. L. Long,Travis E. Abbott,Ian T. Ferguson,David L. Morton,Mark M. Burnett,James V. Weible,Joshua Peck,Adam F. Dukes,Joshua F. McMichael,Justin T. Lolofie,Brian R. Derickson,Jasreet Hundal,Zachary L. Skidmore,Benjamin J. Ainscough,Nathan D. Dees,William Schierding,Cyriac Kandoth,Kyung H. Kim,Charles Lu,Chris Harris,Nicole Maher,Christopher G. Maher,Vincent Magrini,Benjamin S. Abbott,Ken Chen,Eric M. Clark,Indraniel Das,Xian Fan,Amy Hawkins,Todd G. Hepler,Todd Wylie,Shawn Leonard,William E. Schroeder,Xiaoqi Shi,Lynn K. Carmichael,Matthew R. Weil,Richard W. Wohlstadter,Gary Stiehr,Michael D. McLellan,Craig Pohl,Christopher A. Miller,Daniel C. Koboldt,Jason Walker,James M. Eldred,David E. Larson,David J. Dooling,Li Ding,Elaine R. Mardis,Richard K. Wilson +63 more
TL;DR: The GMS framework provides detailed tracking of samples and data coupled with reliable and repeatable analysis pipelines, allowing a large team to collaborate on data analysis, or an individual researcher to leverage the work of others effectively within its data management system.
Journal ArticleDOI
A multiple myeloma-specific capture sequencing platform discovers novel translocations and frequent, risk-associated point mutations in IGLL5
Brian S. White,Irena Lanc,Julie O'Neal,Harshath Gupta,Robert S. Fulton,Heather Schmidt,Catrina Fronick,Edward A. Belter,Mark A. Fiala,Justin King,Greg J. Ahmann,Mary Derome,Elaine R. Mardis,Elaine R. Mardis,Ravi Vij,John F. DiPersio,Joan Levy,Joan Levy,Daniel Auclair,Michael H. Tomasson,Michael H. Tomasson +20 more
TL;DR: A capture-based sequencing platform to detect their occurrence in 465 genes altered in MM and used it to sequence 95 primary tumor-normal pairs to a mean depth of 104× provides cost-effective genomic analysis for research and may be useful in individualizing treatment decisions in clinical settings.