M
Michael Roberts
Researcher at University of Maryland, College Park
Publications - 15
Citations - 4669
Michael Roberts is an academic researcher from University of Maryland, College Park. The author has contributed to research in topics: Sequence assembly & Shotgun sequencing. The author has an hindex of 13, co-authored 15 publications receiving 4070 citations. Previous affiliations of Michael Roberts include Johns Hopkins University School of Medicine.
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Journal ArticleDOI
A whole-genome assembly of the domestic cow, Bos taurus
Aleksey V. Zimin,Arthur L. Delcher,Liliana Florea,David R. Kelley,Michael C. Schatz,Daniela Puiu,Finnian Hanrahan,Geo Pertea,Curtis P. Van Tassell,Tad S. Sonstegard,Guillaume Marçais,Michael Roberts,Poorani Subramanian,James A. Yorke,Steven L. Salzberg +14 more
TL;DR: By using independent mapping data and conserved synteny between the cow and human genomes, this work was able to construct an assembly with excellent large-scale contiguity in which a large majority (approximately 91%) of the genome has been placed onto the 30 B. taurus chromosomes.
Journal ArticleDOI
The MaSuRCA genome assembler
Aleksey V. Zimin,Guillaume Marçais,Daniela Puiu,Michael Roberts,Steven L. Salzberg,James A. Yorke +5 more
TL;DR: A new hybrid approach that has the computational efficiency of de Bruijn graph methods and the flexibility of overlap-based assembly strategies, and which allows variable read lengths while tolerating a significant level of sequencing error is described.
Journal ArticleDOI
GAGE: A critical evaluation of genome assemblies and assembly algorithms
Steven L. Salzberg,Adam M. Phillippy,Aleksey V. Zimin,Daniela Puiu,Tanja Magoc,Sergey Koren,Sergey Koren,Todd J. Treangen,Michael C. Schatz,Arthur L. Delcher,Michael Roberts,Guillaume Marçais,Mihai Pop,James A. Yorke +13 more
TL;DR: Evaluating several of the leading de novo assembly algorithms on four different short-read data sets generated by Illumina sequencers concludes that data quality, rather than the assembler itself, has a dramatic effect on the quality of an assembled genome.
Journal ArticleDOI
Decoding the massive genome of loblolly pine using haploid DNA and novel assembly strategies
David B. Neale,Jill L. Wegrzyn,Kristian Stevens,Aleksey V. Zimin,Daniela Puiu,Marc W. Crepeau,Charis Cardeno,Maxim Koriabine,Ann E. Holtz-Morris,John D. Liechty,Pedro J. Martínez-García,Hans A. Vasquez-Gross,Brian Y. Lin,Jacob J. Zieve,William M. Dougherty,Sara Fuentes-Soriano,Le-Shin Wu,Don Gilbert,Guillaume Marçais,Michael Roberts,Carson Holt,Mark Yandell,John M. Davis,Katherine E. Smith,Jeffrey F. D. Dean,W. Walter Lorenz,Ross W. Whetten,Ronald R. Sederoff,Nicholas C. Wheeler,Patrick E. McGuire,Doreen Main,Carol A. Loopstra,Keithanne Mockaitis,Pieter J. deJong,James A. Yorke,Steven L. Salzberg,Charles H. Langley +36 more
TL;DR: In this paper, the authors used a whole genome shotgun approach relying on next generation sequence generated from a single haploid seed megagametophyte from a loblolly pine tree, 20-1010, that has been used in industrial forest tree breeding.
Journal ArticleDOI
Reducing storage requirements for biological sequence comparison
TL;DR: A simple and elegant method in which only a small fraction of seeds, called 'minimizers', needs to be stored, which can speed up string-matching computations by a large factor while missing only aSmall fraction of the matches found using all seeds.