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Articles by E. D Green
Total Records ( 2 ) for E. D Green
  Temple The MGC Project Team , D. S Gerhard , R Rasooly , E. A Feingold , P. J Good , C Robinson , A Mandich , J. G Derge , J Lewis , D Shoaf , F. S Collins , W Jang , L Wagner , C. M Shenmen , L Misquitta , C. F Schaefer , K. H Buetow , T. I Bonner , L Yankie , M Ward , L Phan , A Astashyn , G Brown , C Farrell , J Hart , M Landrum , B. L Maidak , M Murphy , T Murphy , B Rajput , L Riddick , D Webb , J Weber , W Wu , K. D Pruitt , D Maglott , A Siepel , B Brejova , M Diekhans , R Harte , R Baertsch , J Kent , D Haussler , M Brent , L Langton , C. L.G Comstock , M Stevens , C Wei , M. J van Baren , K Salehi Ashtiani , R. R Murray , L Ghamsari , E Mello , C Lin , C Pennacchio , K Schreiber , N Shapiro , A Marsh , E Pardes , T Moore , A Lebeau , M Muratet , B Simmons , D Kloske , S Sieja , J Hudson , P Sethupathy , M Brownstein , N Bhat , J Lazar , H Jacob , C. E Gruber , M. R Smith , J McPherson , A. M Garcia , P. H Gunaratne , J Wu , D Muzny , R. A Gibbs , A. C Young , G. G Bouffard , R. W Blakesley , J Mullikin , E. D Green , M. C Dickson , A. C Rodriguez , J Grimwood , J Schmutz , R. M Myers , M Hirst , T Zeng , K Tse , M Moksa , M Deng , K Ma , D Mah , J Pang , G Taylor , E Chuah , A Deng , K Fichter , A Go , S Lee , J Wang , M Griffith , R Morin , R. A Moore , M Mayo , S Munro , S Wagner , S. J.M Jones , R. A Holt , M. A Marra , S Lu , S Yang , J Hartigan , M Graf , R Wagner , S Letovksy , J. C Pulido , K Robison , D Esposito , J Hartley , V. E Wall , R. F Hopkins , O Ohara and S. Wiemann

Since its start, the Mammalian Gene Collection (MGC) has sought to provide at least one full-protein-coding sequence cDNA clone for every human and mouse gene with a RefSeq transcript, and at least 6200 rat genes. The MGC cloning effort initially relied on random expressed sequence tag screening of cDNA libraries. Here, we summarize our recent progress using directed RT-PCR cloning and DNA synthesis. The MGC now contains clones with the entire protein-coding sequence for 92% of human and 89% of mouse genes with curated RefSeq (NM-accession) transcripts, and for 97% of human and 96% of mouse genes with curated RefSeq transcripts that have one or more PubMed publications, in addition to clones for more than 6300 rat genes. These high-quality MGC clones and their sequences are accessible without restriction to researchers worldwide.

  J. K Teer , L. L Bonnycastle , P. S Chines , N. F Hansen , N Aoyama , A. J Swift , H. O Abaan , T. J Albert , Margulies NISC Comparative Sequencing Program , E. D Green , F. S Collins , J. C Mullikin and L. G. Biesecker

Massively parallel DNA sequencing technologies have greatly increased our ability to generate large amounts of sequencing data at a rapid pace. Several methods have been developed to enrich for genomic regions of interest for targeted sequencing. We have compared three of these methods: Molecular Inversion Probes (MIP), Solution Hybrid Selection (SHS), and Microarray-based Genomic Selection (MGS). Using HapMap DNA samples, we compared each of these methods with respect to their ability to capture an identical set of exons and evolutionarily conserved regions associated with 528 genes (2.61 Mb). For sequence analysis, we developed and used a novel Bayesian genotype-assigning algorithm, Most Probable Genotype (MPG). All three capture methods were effective, but sensitivities (percentage of targeted bases associated with high-quality genotypes) varied for an equivalent amount of pass-filtered sequence: for example, 70% (MIP), 84% (SHS), and 91% (MGS) for 400 Mb. In contrast, all methods yielded similar accuracies of >99.84% when compared to Infinium 1M SNP BeadChip-derived genotypes and >99.998% when compared to 30-fold coverage whole-genome shotgun sequencing data. We also observed a low false-positive rate with all three methods; of the heterozygous positions identified by each of the capture methods, >99.57% agreed with 1M SNP BeadChip, and >98.840% agreed with the whole-genome shotgun data. In addition, we successfully piloted the genomic enrichment of a set of 12 pooled samples via the MGS method using molecular bar codes. We find that these three genomic enrichment methods are highly accurate and practical, with sensitivities comparable to that of 30-fold coverage whole-genome shotgun data.

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