Long-read, whole-genome shotgun sequence data for five model organisms.
Long-read, whole-genome shotgun sequence data for five model organisms.
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DOI：
10.1038/sdata.2014.45
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发表时间：
2014
期刊：
影响因子：
9.8
通讯作者：
Landolin, Jane M.
中科院分区：
文献类型：
--
作者：
Kim, Kristi E.;Peluso, Paul;Babayan, Primo;Yeadon, P. Jane;Yu, Charles;Fisher, William W.;Chin, Chen-Shan;Rapicavoli, Nicole A.;Rank, David R.;Li, Joachim;Catcheside, David E. A.;Celniker, Susan E.;Phillippy, Adam M.;Bergman, Casey M.;Landolin, Jane M.
Pacific Biosciences的单分子实时（SMRT）测序越来越多地用于生物学研究的许多领域，包括从头基因组组装、结构变体鉴定、单倍型定相、mRNA同种型发现和碱基修饰分析。SMRT序列的高质量公共数据集可以刺激分析工具的开发，这些工具可以适应SMRT数据的独特特征（长读取长度，缺乏GC或扩增偏倚，以及导致高一致性准确性的随机错误特征）。在本文中，我们描述了来自五种生物（大肠杆菌，酿酒酵母，粗糙脉孢菌，拟南芥和黑腹果蝇）的八个高覆盖率SMRT序列数据集，这些数据集已公开发布给一般科学界（NCBI序列读取存档ID SRP 040522）。在PacBio RS II仪器上使用两种测序化学（P4C2和P5C3）生成数据。这里报告的数据集可以不受限制地被研究界用于生成全基因组组装，测试新算法，研究基因组结构和进化，并确定生物研究中一些最广泛研究的模型系统中的碱基修饰。
Single molecule, real-time (SMRT) sequencing from Pacific Biosciences is increasingly used in many areas of biological research including de novo genome assembly, structural-variant identification, haplotype phasing, mRNA isoform discovery, and base-modification analyses. High-quality, public datasets of SMRT sequences can spur development of analytic tools that can accommodate unique characteristics of SMRT data (long read lengths, lack of GC or amplification bias, and a random error profile leading to high consensus accuracy). In this paper, we describe eight high-coverage SMRT sequence datasets from five organisms (Escherichia coli, Saccharomyces cerevisiae, Neurospora crassa, Arabidopsis thaliana, and Drosophila melanogaster) that have been publicly released to the general scientific community (NCBI Sequence Read Archive ID SRP040522). Data were generated using two sequencing chemistries (P4C2 and P5C3) on the PacBio RS II instrument. The datasets reported here can be used without restriction by the research community to generate whole-genome assemblies, test new algorithms, investigate genome structure and evolution, and identify base modifications in some of the most widely-studied model systems in biological research.
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影响因子：
48
作者：
Flusberg, Benjamin A.;Webster, Dale R.;Lee, Jessica H.;Travers, Kevin J.;Olivares, Eric C.;Clark, Tyson A.;Korlach, Jonas;Turner, Stephen W.
通讯作者：
Turner, Stephen W.
影响因子：
12.3
作者：
Koren S;Harhay GP;Smith TP;Bono JL;Harhay DM;Mcvey SD;Radune D;Bergman NH;Phillippy AM
通讯作者：
Phillippy AM
DOI：
10.1073/pnas.1319315110
发表时间：
2013-11-26
影响因子：
11.1
作者：
Kozdon, Jennifer B.;Melfi, Michael D.;McAdams, Harley H.
通讯作者：
McAdams, Harley H.
影响因子：
6.3
作者：
Brown SD;Nagaraju S;Utturkar S;De Tissera S;Segovia S;Mitchell W;Land ML;Dassanayake A;Köpke M
通讯作者：
Köpke M
影响因子：
3.2
作者：
Bendall, Matthew L.;Luong, Khai;Malmstrom, Rex R.
通讯作者：
Malmstrom, Rex R.