L
Lawrence Lee
Researcher at Pacific Biosciences
Publications - 8
Citations - 2258
Lawrence Lee is an academic researcher from Pacific Biosciences. The author has contributed to research in topics: Rotor (electric) & Stator. The author has an hindex of 8, co-authored 8 publications receiving 2111 citations.
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Journal ArticleDOI
Origins of the E. coli Strain Causing an Outbreak of Hemolytic–Uremic Syndrome in Germany
David A. Rasko,Dale R. Webster,Jason W. Sahl,Ali Bashir,Nadia Boisen,Flemming Scheutz,Ellen E. Paxinos,Robert Sebra,Chen-Shan Chin,Dimitris Iliopoulos,Aaron Klammer,Paul Peluso,Lawrence Lee,Andrey Kislyuk,James H. Bullard,Andrew Kasarskis,Susanna Wang,John Eid,David R. Rank,Julia C. Redman,Susan R. Steyert,Jakob Frimodt-Møller,Carsten Struve,Andreas Petersen,Karen A. Krogfelt,James P. Nataro,Eric E. Schadt,Matthew K. Waldor +27 more
TL;DR: The findings suggest that horizontal genetic exchange allowed for the emergence of the highly virulent Shiga-toxin-producing enteroaggregative E. coli O104:H4 strain that caused the German outbreak, and highlight the way in which the plasticity of bacterial genomes facilitates the emerged of new pathogens.
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Computational solutions to large-scale data management and analysis
TL;DR: How to master the different types of computational environments that exist — such as cloud and heterogeneous computing — to successfully tackle the authors' big data problems is discussed.
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Improving PacBio Long Read Accuracy by Short Read Alignment
TL;DR: A computational method, LSC, to perform error correction of TGS long reads (LR) by SGS short reads (SR) by applying a homopolymer compression (HC) transformation strategy to increase the sensitivity of SR-LR alignment without scarifying alignment accuracy is presented.
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Characterization of the human ESC transcriptome by hybrid sequencing
Kin Fai Au,Vittorio Sebastiano,Pegah Tootoonchi Afshar,Jens Durruthy Durruthy,Lawrence Lee,Brian A. Williams,Harm van Bakel,Eric E. Schadt,Renee A. Reijo-Pera,Jason G. Underwood,Jason G. Underwood,Wing Hung Wong +11 more
TL;DR: A new method based on the combined analysis of short reads and long reads generated by second- and third-generation sequencing and a custom-designed method for isoform identification and quantification is developed to generate a high-confidence isoform dataset for human embryonic stem cells (hESCs).
Journal ArticleDOI
Use of Four Next-Generation Sequencing Platforms to Determine HIV-1 Coreceptor Tropism
John Archer,Jan Weber,Kenneth R. Henry,Dane Winner,Richard M. Gibson,Lawrence Lee,Ellen E. Paxinos,Eric J. Arts,David Robertson,Larry Mimms,Miguel E. Quiñones-Mateu +10 more
TL;DR: All four NGS platforms were able to detect minority non-R5 variants at comparable levels suggesting that any NGS-based method can be used to predict HIV-1 coreceptor usage.