检索结果-内蒙古大学图书馆

31st Annual Meeting and Associated programs of the Society for Immunotherapy of Cancer (SITC 2016): part one: National Harbor, MD, USA. 9-13 November 2016

引用

J Immunother Cancer 2016年第SUPPL 1期4卷 1-1页

作者： Andreas Lundqvist Vincent van Hoef Xiaonan Zhang Erik Wennerberg Julie Lorent Kristina Witt Laia Masvidal Sanz Shuo Liang Shannon Murray Ola Larsson Rolf Kiessling Yumeng Mao John-William Sidhom Catherine A. Bessell Jonathan Havel Jonathan Schneck Timothy A. Chan Eliot Sachsenmeier David Woods Anders Berglund Rupal Ramakrishnan Andressa Sodre Jeffrey Weber Roberta Zappasodi Yanyun Li Jingjing Qi Philip Wong Cynthia Sirard Michael Postow Walter Newman Henry Koon Vamsidhar Velcheti Margaret K. Callahan Jedd D. Wolchok Taha Merghoub Lawrence G. Lum Minsig Choi Archana Thakur Abhinav Deol Gregory Dyson Anthony Shields Cara Haymaker Marc Uemura Ravi Murthy Marihella James Daqing Wang Julie Brevard Catherine Monaghan Suzanne Swann James Geib Mark Cornfeld Srinivas Chunduru Sudhir Agrawal Cassian Yee Jennifer Wargo Sapna P. Patel Rodabe Amaria Hussein Tawbi Isabella Glitza Scott Woodman Wen-Jen Hwu Michael A. Davies Patrick Hwu Willem W. Overwijk Chantale Bernatchez Adi Diab Erminia Massarelli Neil H. Segal Vincent Ribrag Ignacio Melero Tara C. Gangadhar Walter Urba Dirk Schadendorf Robert L. Ferris Roch Houot Franck Morschhauser Theodore Logan Jason J. Luke William Sharfman Fabrice Barlesi Patrick A. Ott Laura Mansi Shivaani Kummar Gilles Salles Cecilia Carpio Roland Meier Suba Krishnan Dan McDonald Matthew Maurer Xuemin Gu Jaclyn Neely Satyendra Suryawanshi Ronald Levy Nikhil Khushalani Jennifer Wu Jinyu Zhang Fahmin Basher Mark Rubinstein Mark Bucsek Guanxi Qiao Cameron MacDonald Bonnie Hylander Elizabeth Repasky Shilpak Chatterjee Anusara Daenthanasanmak Paramita Chakraborty Kyle Toth Megan Meek Elizabeth Garrett-Mayer Michael Nishimura Chrystal Paulos Craig Beeson Xuezhong Yu Shikhar Mehrotra Fei Zhao Kathy Evans Christine Xiao Alisha Holtzhausen Brent A. Hanks Nicole Scharping Ashley V. Menk Rebecca Moreci Ryan Whetstone Rebekah Dadey Simon Watkins Robert Ferris Greg M. Delgoffe Jonathan Peled Sean Devlin Anna Staffas Melissa Lumish Kori Porosnicu Rodriguez Katya Ahr Miguel Perales Sergio Giralt Ying Taur Eric Pam Karolinska Institutet Stockholm Stockholms Lan Sweden Weill Cornell Medical College New York NY USA Nova Southeastern University Cell Therapy Institute Fort Lauderdale FL USA Johns Hopkins University School of Medicine Baltimore MD USA Immunology Program Johns Hopkins University School of Medicine Columbia MD USA Memorial Sloan Kettering Cancer Center New York NY USA Johns Hopkins Medical Institute Baltimore MD USA University of Rochester Monrovia MD USA NYU Langone Medical Center New York NY USA H. Lee Moffitt Cancer Center Tampa FL USA Ludwig Collaborative Laboratory Memorial Sloan Kettering Cancer Center New York NY USA Immune Monitoring Core Facility Memorial Sloan Kettering Cancer Center New York NY USA Leap Therapeutics Cambridge MA USA Department of Medicine Memorial Sloan Kettering Cancer Center New York NY USA Case Western Reserve University Cleveland OH USA Cleveland Clinic Main Campus Cleveland OH USA University of Virginia Cancer Center Charlottesville VA USA Stony Brook University Medical Center Stony Brook NY USA Karmanos Cancer Institute Detroit MI USA University of Texas MD Anderson Cancer Center Houston TX USA Idera Pharmaceuticals Inc. Cambridge MA USA Institut Gustave Roussy Villejuif Ile-de-France France Center for Applied Medical Research (CIMA) University of Navarra Pamplona Navarra Spain University of Pennsylvania Philadelphia PA USA Earle A. Chiles Research Institute Providence Cancer Center Portland OR USA Universitätsklinikum Essen Essen Nordrhein-Westfalen Germany University of Pittsburgh Pittsburgh PA USA CHU Rennes Service Hématologie Clinique and INSERM 0203 Unité d’Investigation Clinique Rennes Bretagne France Centre Hospitalier Régional Universitaire de Lille Lille Nord-Pas-de-Calais France Simon Cancer Center Indiana University Indianapolis IN USA University of Chicago School of Medicine Chicago IL USA Johns Hopkins University School of Medicine Lutherville MD USA Multidisciplinary Oncology and Therapeuti

来源：评论

学校读者我要写书评

暂无评论

Human genome meeting 2016 : Houston, TX, USA. 28 February - 2 March 2016

引用

Human genomics 2016年第1期10 Suppl 1卷 12页

作者： A. K. Srivastava Y. Wang R. Huang C. Skinner T. Thompson L. Pollard T. Wood F. Luo R. Stevenson R. Polimanti J. Gelernter X. Lin I. Y. Lim Y. Wu A. L. Teh L. Chen I. M. Aris S. E. Soh M. T. Tint J. L. MacIsaac F. Yap K. Kwek S. M. Saw M. S. Kobor M. J. Meaney K. M. Godfrey Y. S. Chong J. D. Holbrook Y. S. Lee P. D. Gluckman N. Karnani A. Kapoor D. Lee A. Chakravarti C. Maercker F. Graf M. Boutros G. Stamoulis F. Santoni P. Makrythanasis A. Letourneau M. Guipponi N. Panousis M. Garieri P. Ribaux E. Falconnet C. Borel S. E. Antonarakis S. Kumar J. Curran J. Blangero S. Chatterjee J. Akiyama D. Auer C. Berrios L. Pennacchio T. R. Donti G. Cappuccio M. Miller P. Atwal A. Kennedy A. Cardon C. Bacino L. Emrick J. Hertecant F. Baumer B. Porter M. Bainbridge P. Bonnen B. Graham R. Sutton Q. Sun S. Elsea Z. Hu P. Wang Y. Zhu J. Zhao M. Xiong David A. Bennett A. Hidalgo-Miranda S. Romero-Cordoba S. Rodriguez-Cuevas R. Rebollar-Vega E. Tagliabue M. Iorio E. D’Ippolito S. Baroni B. Kaczkowski Y. Tanaka H. Kawaji A. Sandelin R. Andersson M. Itoh T. Lassmann Y. Hayashizaki P. Carninci A. R. R. Forrest C. A. Semple E. A. Rosenthal B. Shirts L. Amendola C. Gallego M. Horike-Pyne A. Burt P. Robertson P. Beyers C. Nefcy D. Veenstra F. Hisama R. Bennett M. Dorschner D. Nickerson J. Smith K. Patterson D. Crosslin R. Nassir N. Zubair T. Harrison U. Peters G. Jarvik F. Menghi K. Inaki X. Woo P. Kumar K. Grzeda A. Malhotra H. Kim D. Ucar P. Shreckengast K. Karuturi J. Keck J. Chuang E. T. Liu B. Ji A. Tyler G. Ananda G. Carter H. Nikbakht M. Montagne M. Zeinieh A. Harutyunyan M. Mcconechy N. Jabado P. Lavigne J. Majewski J. B. Goldstein M. Overman G. Varadhachary R. Shroff R. Wolff M. Javle A. Futreal D. Fogelman L. Bravo W. Fajardo H. Gomez C. Castaneda C. Rolfo J. A. Pinto K. C. Akdemir L. Chin S. Patterson C. Statz S. Mockus S. N. Nikolaev X. I. Bonilla L. Parmentier B. King F. Bezrukov G. Kaya V. Zoete V. Seplyarskiy H. Sharpe T. McKee K. Popadin N. Basset-Seguin R. Ben Chaabene M. Andrianova C. Verdan K. Grosdemange O. Sumara M. E JCSRI Greenwood Genetic Center Greenwood USA School of Computing Clemson University Clemson USA Biochemical Genetics Laboratory Greenwood Genetic Center Greenwood USA Department Psychiatry Yale Sch Med and VA CT Healthcare Center West Haven USA Department Genetics Yale Sch Med and VA CT Healthcare Center West Haven USA Department Neurobiology Yale Sch Med and VA CT Healthcare Center West Haven USA Singapore Institute for Clinical Sciences Singapore Singapore National University of Singapore Singapore Singapore University of British Columbia Vancouver Canada KK Women’s and Children’s Hospital Singapore Singapore University of Southampton and University Hospital Southampton NHS Foundation Trust Southampton UK University of Auckland Auckland New Zealand McKusick-Nathans Institute of Genetic Medicine Johns Hopkins University School of Medicine Baltimore USA Esslingen University of Applied Sciences Esslingen Germany German Cancer Research Center Heidelberg Germany Department of Genetic Medicine and Development University of Geneva Medical School Geneva Switzerland Geneva University Hospitals-HUG Service of Genetic Medicine Geneva Switzerland GE3 Institute of Genetics and Genomics of Geneva University of Geneva Medical School Geneva Switzerland South Texas Diabetes and Obesity Institute School of Medicine University of Texas Rio-Grande Valley Edinburg USA South Texas Diabetes and Obesity Institute School of Medicine University of Texas Rio-Grande Valley Brownsville USA Institute of Genetic Medicine Johns Hopkins University Baltimore USA Genomics Division Lawrence Berkeley National Laboratory Berkeley USA Molecular and Human Genetics Baylor College of Medicine Houston USA Department of Translational Medical Sciences Federico II University Naples Italy Metabolon Inc Durham USA Section of Pediatric Neurology and Neuroscience Baylor College of Medicine Houston USA Tawam Hospital Abu Dhabi United Arab Emirates Stanford Medical School Stanford USA Sch

O1 The metabolomics approach to autism: identification of biomarkers for early detection of autism spectrum disorder A. K. Srivastava, Y. Wang, R. Huang, C. Skinner, T. Thompson, L. Pollard, T. Wood, F. Luo, R. Stevenson O2 Phenome-wide association study for smoking- and drinking-associated genes in 26,394 American women with African, Asian, European, and Hispanic descents R. Polimanti, J. Gelernter O3 Effects of prenatal environment, genotype and DNA methylation on birth weight and subsequent postnatal outcomes: findings from GUSTO, an Asian birth cohort X. Lin, I. Y. Lim, Y. Wu, A. L. Teh, L. Chen, I. M. Aris, S. E. Soh, M. T. Tint, J. L. MacIsaac, F. Yap, K. Kwek, S. M. Saw, M. S. Kobor, M. J. Meaney, K. M. Godfrey, Y. S. Chong, J. D. Holbrook, Y. S. Lee, P. D. Gluckman, N. Karnani, GUSTO study group O4 High-throughput identification of specific qt interval modulating enhancers at the SCN5A locus A. Kapoor, D. Lee, A. Chakravarti O5 Identification of extracellular matrix components inducing cancer cell migration in the supernatant of cultivated mesenchymal stem cells C. Maercker, F. Graf, M. Boutros O6 Single cell allele specific expression (ASE) IN T21 and common trisomies: a novel approach to understand DOWN syndrome and other aneuploidies G. Stamoulis, F. Santoni, P. Makrythanasis, A. Letourneau, M. Guipponi, N. Panousis, M. Garieri, P. Ribaux, E. Falconnet, C. Borel, S. E. Antonarakis O7 Role of microRNA in LCL to IPSC reprogramming S. Kumar, J. Curran, J. Blangero O8 Multiple enhancer variants disrupt gene regulatory network in Hirschsprung disease S. Chatterjee, A. Kapoor, J. Akiyama, D. Auer, C. Berrios, L. Pennacchio, A. Chakravarti O9 Metabolomic profiling for the diagnosis of neurometabolic disorders T. R. Donti, G. Cappuccio, M. Miller, P. Atwal, A. Kennedy, A. Cardon, C. Bacino, L. Emrick, J. Hertecant, F. Baumer, B. Porter, M. Bainbridge, P. Bonnen, B. Graham, R. Sutton, Q. Sun, S. Elsea O10 A novel causal methylation network approach to Alzheimer’s

关键词： Pulmonary Arterial Hypertension Oral Squamous Cell Carcinoma Deep Neural Network Autosomal Recessive Polycystic Kidney Disease Whole Genome Bisulfite Sequencing

来源：评论

学校读者我要写书评

暂无评论

EQTL AND MUTATIONAL ANALYSIS OF NB-LRR MEDIATED IMMUNITY TO POWDERY MILDEW

EQTL AND MUTATIONAL ANALYSIS OF NB-LRR MEDIATED IMMUNITY TO ...

引用

The 13th International Cereal Rusts and Powdery Mildews Conference(第13届国际禾谷类锈病与白粉病大会)

作者： Roger WISE Priyanka SURANA Greg FUERST Ruo XU Divya MISTRY Julie DICKERSON Dan NETTLETON Department of Statistics Iowa State UniversityAmesIowa 50011 Department of Plant Pathology and Microbiology Center for Plant Responses to Environmental StressesIowa State UniversityAmesIowa 50011 Department of StatisticsIowa State UniversityAmesIowa 50011 Bioinformatics and Computational Biology Graduate ProgramIowa State UniversityAmesIowa 50011 Department of Electrical and Computer Engineering Iowa State UniversityAmesIowa 50011USA Bioinformatics and Computational Biology Graduate ProgramIowa State UniversityAmesIowa 50011 Bioinformatics and Computational Biology Graduate Program Iowa State UniversityAmesIowa 50011 Department of Plant Pathology and MicrobiologyCenter for Plant Responses to Environmental StressesIowa State UniversityAmesIowa 50011 Department of Plant Pathology and Microbiology Center for Plant Responses to Environmental StressesIowa State UniversityAmesIowa 50011 Bioinformatics and Computational Biology Graduate Program Iowa State UniversityAmesIowa 50011 Crop and Insect GeneticsGenomicsand Informatics Research UnitU.S.Department of Agriculture-Agricultural Research ServiceIowa State UniversityAmesIowa 50011 Crop and Insect Genetics Genomicsand Informatics Research UnitU.S.Department of Agriculture-Agricultural Research ServiceIowa State UniversityAmesIowa 50011

来源：评论

学校读者我要写书评

暂无评论

Regulation of the SQUAMOSA PROMOTER-BINDING PROTEIN-LIKE genes/microRNA 156 Module by the Homeodomain Proteins PENNYWISE and POUND-FOOLISH in Arabidopsis

引用

Molecular Plant 2011年第6期4卷 1123-1132页

作者： Shruti Lal Leo Bryan Pacis Harley M.S. Smith Genetics Genomics and Bioinformatics Graduate Program University of California Riverside CA 92521 USA Center for Plant Cell Biology Institute of Integrative Genome Biology Department of Botany and Plant Sciences University of California Riverside CA 92521 USA

The morphology of inflorescences is regulated in part by the temporal and spatial events that regulate flower specification. In Arabidopsis, an endogenous flowering time pathway mediated by a subset of SQUAMOSA PROMOTER- BINDING PROTEIN-LIKE （SPL） transcription factors, including SPL3, SPL4, and SPL5, function to specify flowers by activating floral meristem identity genes. During shoot development, SPL3, SPL4, and SPL5 are post-transcriptionally regulated by microRNA156 （miR156）. The photoperiod regulated florigenic signal, FLOWERING LOCUS T （FT）, promotes floral induction, in part by activating SPL3, SPL4, and SPL5. In turn, these SPLs function in parallel with FT to specify flower meristems. Two related BELLl-like homeobox genes PENNYWISE （PNY） and POUND-FOOLISH （PNF） expressed in the shoot apical meristem are absolutely required for the specification of floral meristems. Genetic studies show that the floral specification function of FT depends upon PNYand PNF; however, the interplay between these homeodomain proteins and SPLs is not known. In this manuscript, we show that the photoperiodic floral induction of SPL3, SPL4, and SPL5 is dependent upon PNY and PNE Further, PNY and PNF also control SPL3, SPL4, and SPL5 expression by negatively regulating miR156. Lastly, ectopic expres- sion of SPL4 partially rescues the pny pnf non-flower-producing phenotype, while overexpression of SPL3 or SPL5 in pny pnf plants was unable to restore flower specification. These results suggest that：（1） SPL3, SPL4, and SPL5 function is dependent upon PNY and PNF, or （2） expression of multiple SPLs is required for floral specification in pny pnf plants.

关键词： Development meristem homeodomain flowering microRNA.

来源：评论

学校读者我要写书评

暂无评论

Comprehensive genomic profiling of the lung transcriptome in emphysema and idiopathic pulmonary fibrosis using RNA-Seq

引用

BMC Proc 2012年第SUPPL 6期6卷 P21-P21页

作者： Rebecca L Kusko John Brothers, II Gang Liu Lingqi Luo Brenda Juan Guardela John Tedrow Yuriy Aleksyev Ivana V Yang Mick Correll Mark Geraci John Quackenbush Frank Sciurba Marc Lenburg David A Schwartz Jennifer Beane Naftali Kaminski Avrum Spira Genetics and Genomics Graduate Program Boston University School of Medicine Boston MA USA Bioinformatics Program Boston University Boston MA USA Division of Computational Biomedicine Department of Medicine Boston University School of Medicine Boston MA USA Simmons Center for Interstitial Lung Disease and Department of Medicine University of Pittsburgh Medical Center Pittsburgh PA USA Department of Pathology and Laboratory Medicine Boston University School of Medicine Boston MA USA Center for Genes Environment and Health and Department of Medicine National Jewish Health Denver CO USA Dana-Farber Cancer Institute and Harvard School of Public Health Boston MA USA Department of Medicine University of Colorado School of Medicine Aurora CO USA

来源：评论

学校读者我要写书评

暂无评论

Next generation sequencing for profiling expression of miRNAs: technical progress and applications in drug development

引用

Journal of Biomedical Science and Engineering 2011年第10期4卷 666-676页

作者： Jie Liu Steven F. Jennings Weida Tong Huixiao Hong University of Arkansas at Little Rock/University of Arkansas for Medical Sciences Bioinformatics Graduate Program Little Rock USA.

miRNAs are non-coding RNAs that play a regulatory role in expression of genes and are associated with diseases. Quantitatively measuring expression levels of miRNAs can help understanding the mechanisms of human diseases and discovering new drug targets. There are three major methods that have been used to measure the expression levels of miRNAs: real-time reverse transcription PCR (qRT-PCR), microarray, and the newly introduced next-generation sequencing (NGS). NGS is not only suitable for profiling of known miRNAs that qRT-PCR and microarray can do too but also able to detect unknown miRNAs that the other two methods are incapable. Profiling of miRNAs by NGS has been progressed rapidly and is a promising field for applications in drug development. This paper will review the technical advancement of NGS for profiling miRNAs, including comparative analyses between different platforms and software packages for analyzing NGS data. Examples and future perspectives of applications of NGS profiling miRNAs in drug development will be discussed.

关键词： MiRNAs Next-Generation Sequencing Expression Data Analysis Drug Development

来源：评论

学校读者我要写书评

暂无评论

Moving beyond gene expression: identification of lung-disease-associated novel transcripts and alternative splicing by RNA sequencing

引用

BMC Proceedings 2012年第6期6卷 1-2页

作者： John Brothers II Paola Sebastiani Marc Lenburg Avrum Spira Rebecca Kusko Yuriy Alekesyev Gang Liu Lingqi Luo Jennifer Beane Brenda Juan Guardela John Tedrow Frank Sciurba Naftali Kaminski Ivana V Yang David A Schwartz Mick Correll John Quackenbush Mark Geraci Bioinformatics Program Boston University Boston MA 02115 USA Genetics and Genomics Graduate Program Boston University School of Medicine Boston MA 02118 USA Department of Medicine Boston University School of Medicine Section of Computational Biomedicine Boston MA 02118 USA Department of Pathology and Laboratory Medicine Boston University School of Medicine Boston MA 02118 USA Simmons Center for Interstitial Lung Disease and Department of Medicine University of Pittsburgh Medical Center Pittsburgh PA 15213 USA Center for Genes Environment and Health and Department of Medicine National Jewish Health Denver CO 80206 USA Dana-Farber Cancer Institute and Harvard School of Public Health Boston MA 02115 USA Department of Medicine University of Colorado School of Medicine Aurora CO 80045 USA

来源：评论

学校读者我要写书评

暂无评论

Characterizing the small RNA transcriptome associated with COPD and ILD using next-generation sequencing

引用

BMC Proceedings 2012年第6期6卷 1-2页

作者： Joshua D Campbell Joseph Gerrein Marc E Lenburg Avrum Spira Lingqi Luo Gang Liu Ji Xiao Jennifer Beane Brenda J Guardela John Tedrow Frank Sciurba Naftali Kaminski Yuriy O Aleksyev Ivana V Yang David A Schwartz Mick Correll John Quackenbush Mark Geraci Bioinformatics Graduate Program Boston University Boston MA USA Section of Computational Biomedicine Boston University Boston MA USA Department of Pathology and Laboratory Medicine Boston University School of Medicine Boston MA USA Simmons Center for Interstitial Lung Disease and Department of Medicine University of Pittsburgh Medical Center Pittsburgh PA USA Center for Genes Environment and Health and Department of Medicine National Jewish Health Denver CO USA Dana-Farber Cancer Institute and Harvard School of Public Health Boston MA USA Department of Medicine University of Colorado School of Medicine Aurora CO USA

来源：评论

学校读者我要写书评

暂无评论

Expression of G protein-coupled receptors and related proteins in HEK293, AtT20, BV2, and N18 cell lines as revealed by microarray analysis

引用

BMC Genomics 2011年第1期12卷 1-14页

作者： Atwood, Brady K. Lopez, Jacqueline Wager-Miller, James Mackie, Ken Straiker, Alex Department of Psychological and Brain Sciences The Gill Center for Biomolecular Science Indiana University Bloomington IN United States Center for Genomics and Bioinformatics Indiana University Bloomington IN United States Graduate Program in Neurobiology and Behavior University of Washington Seattle WA United States

Background: G protein coupled receptors (GPCRs) are one of the most widely studied gene superfamilies. Thousands of GPCR research studies have utilized heterologous expression systems such as human embryonic kidney cells (HEK293). Though often treated as 'blank slates', these cell lines nevertheless endogenously express GPCRs and related signaling proteins. The outcome of a given GPCR study can be profoundly influenced by this largely unknown complement of receptors and/or signaling proteins. Little easily accessible information exists that describes the expression profiles of the GPCRs in cell lines. What is accessible is often limited in scope - of the hundreds of GPCRs and related proteins, one is unlikely to find information on expression of more than a dozen proteins in a given cell line. Microarray technology has allowed rapid analysis of mRNA levels of thousands of candidate genes, but though often publicly available, the results can be difficult to efficiently access or even to ***: To bridge this gap, we have used microarrays to measure the mRNA levels of a comprehensive profile of non-chemosensory GPCRs and over a hundred GPCR signaling related gene products in four cell lines frequently used for GPCR research: HEK293, AtT20, BV2, and ***: This study provides researchers an easily accessible mRNA profile of the endogenous signaling repertoire that these four cell lines possess. This will assist in choosing the most appropriate cell line for studying GPCRs and related signaling proteins. It also provides a better understanding of the potential interactions between GPCRs and those signaling proteins. © 2011 Atwood et al;licensee BioMed Central Ltd.

关键词： HEK293 Cell AtT20 Cell GPCR Signaling Frizzle Receptor Related Signaling Protein

来源：评论

学校读者我要写书评

暂无评论

A Bayesian model for SNP discovery based on next-generation sequencing data

A Bayesian model for SNP discovery based on next-generation ...

引用

IEEE International Workshop on Genomic Signal Processing and Statistics (GENSIPS)

作者： Yanxun Xu Xiaofeng Zheng Yuan Yuan Marcos R Estecio Jean-Pierre Issa Yuan Ji Shoudan Liang Department of Statistics Rice University Houston TX USA Department of Bioinformatics and Computational Biology University of Texas M.D. Anderson Cancer Center Houston TX USA Graduate Program in Structural and Computational Biology and Molecular Biophysics Baylor College of Medicine Houston TX USA Department of Biochemistry and Molecular Biology University of Texas M.D. Anderson Cancer Center Houston TX USA Fels Institute for Cancer Research and Molecular Biology Temple University Philadelphia PA USA CCRI NorthShore University HealthSystem Chicago IL USA

ISBN: (纸本)9781467352345

A single-nucleotide polymorphism (SNP) is a single base change in the DNA sequence and is the most common polymorphism. Since some SNPs have a major influence on disease susceptibility, detecting SNPs plays an important role in biomedical research. To take fully advantage of the next-generation sequencing (NGS) technology and detect SNP more effectively, we propose a Bayesian approach that computes a posterior probability of hidden nucleotide variations at each covered genomic position. The position with higher posterior probability of hidden nucleotide variation has a higher chance to be a SNP. We apply the proposed method to detect SNPs in two cell lines: the prostate cancer cell line PC3 and the embryonic stem cell line H1. A comparison between our results with dbSNP database shows a high ratio of overlap (≥95 %). The positions that are called only under our model but not in dbSNP may serve as candidates for new SNPs.

关键词： comparison candidates generation Single nucleotide polymorphism sequence number protection a posteriori probability DNA Sequence Bayesian inference Disease Susceptibility Analyses, Sequence

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：