Detection of genome-wide structural variations in the Shanghai Holstein cattle population using next-generation sequencing
暂无分享,去创建一个
Zhe Zhang | Dengying Liu | Zhenliang Chen | Hao Sun | P. Ma | K. Zhu | Guanglei Liu | Qishan Wang | Yuchun Pan | Yu-chun Pan
[1] N. Zöllner. Purine and pyrimidine metabolism. , 1982, The Proceedings of the Nutrition Society.
[2] J. Drackley,et al. Production, digestion, and hepatic lipid metabolism of dairy cows fed increased energy from fat or concentrate. , 1996, Journal of dairy science.
[3] Y. Schukken,et al. Preinfection in vitro chemotaxis, phagocytosis, oxidative burst, and expression of CD11/CD18 receptors and their predictive capacity on the outcome of mastitis induced in dairy cows with Escherichia coli. , 1997, Journal of dairy science.
[4] R. Meidan,et al. Impaired reproduction in heat-stressed cattle: basic and applied aspects. , 2000, Animal reproduction science.
[5] G. K. Gaur,et al. The Gir cattle breed of India - characteristics and present status , 2003 .
[6] L. Feuk,et al. Structural variation in the human genome , 2006, Nature Reviews Genetics.
[7] S. Mccarroll,et al. Copy-number variation and association studies of human disease , 2007, Nature Genetics.
[8] A. Shelling,et al. Genetic variation in human disease and a new role for copy number variants. , 2007, Mutation research.
[9] Brad T. Sherman,et al. Systematic and integrative analysis of large gene lists using DAVID bioinformatics resources , 2008, Nature Protocols.
[10] H. Inui,et al. RanBP10 acts as a novel coactivator for the androgen receptor. , 2008, Biochemical and biophysical research communications.
[11] Paul Medvedev,et al. Computational methods for discovering structural variation with next-generation sequencing , 2009, Nature Methods.
[12] C. Arce,et al. Biological pathway analysis by ArrayUnlock and Ingenuity Pathway Analysis , 2009, BMC proceedings.
[13] Gonçalo R. Abecasis,et al. The Sequence Alignment/Map format and SAMtools , 2009, Bioinform..
[14] Richard Durbin,et al. Sequence analysis Fast and accurate short read alignment with Burrows – Wheeler transform , 2009 .
[15] R. Wilson,et al. BreakDancer: An algorithm for high resolution mapping of genomic structural variation , 2009, Nature Methods.
[16] Kai Ye,et al. Pindel: a pattern growth approach to detect break points of large deletions and medium sized insertions from paired-end short reads , 2009, Bioinform..
[17] M. Goddard,et al. A validated genome-wide association study in 2 dairy cattle breeds for milk production and fertility traits using variable length haplotypes. , 2010, Journal of dairy science.
[18] P. Stankiewicz,et al. Structural variation in the human genome and its role in disease. , 2010, Annual review of medicine.
[19] R. Schnabel,et al. A Novel Mutation in the Maternally Imprinted PEG3 Domain Results in a Loss of MIMT1 Expression and Causes Abortions and Stillbirths in Cattle (Bos taurus) , 2010, PloS one.
[20] J. Lupski,et al. Structural variation of the human genome: mechanisms, assays, and role in male infertility , 2011, Systems biology in reproductive medicine.
[21] P. VanRaden,et al. Genomic characteristics of cattle copy number variations , 2011, BMC Genomics.
[22] Jun Yang,et al. Transcriptome profiling of low temperature-treated cassava apical shoots showed dynamic responses of tropical plant to cold stress , 2012, BMC Genomics.
[23] I. Misztal,et al. Genetic effects of heat stress on milk yield of Thai Holstein crossbreds. , 2011, Journal of dairy science.
[24] Bradley P. Coe,et al. Genome structural variation discovery and genotyping , 2011, Nature Reviews Genetics.
[25] M. Gerstein,et al. CNVnator: an approach to discover, genotype, and characterize typical and atypical CNVs from family and population genome sequencing. , 2011, Genome research.
[26] A. Berman. Invited review: Are adaptations present to support dairy cattle productivity in warm climates? , 2011, Journal of dairy science.
[27] Thomas Zichner,et al. DELLY: structural variant discovery by integrated paired-end and split-read analysis , 2012, Bioinform..
[28] Xiangdong Ding,et al. Genome-wide detection of copy number variations using high-density SNP genotyping platforms in Holsteins , 2013, BMC Genomics.
[29] S. Hochreiter,et al. cn.MOPS: mixture of Poissons for discovering copy number variations in next-generation sequencing data with a low false discovery rate , 2012, Nucleic acids research.
[30] Jin Zhang,et al. An improved approach for accurate and efficient calling of structural variations with low-coverage sequence data , 2012, BMC Bioinformatics.
[31] B. Crespi,et al. Association testing of copy number variants in schizophrenia and autism spectrum disorders , 2012, Journal of Neurodevelopmental Disorders.
[32] Bronwen L. Aken,et al. Analyses of pig genomes provide insight into porcine demography and evolution , 2012, Nature.
[33] Xiangdong Ding,et al. A genome-wide detection of copy number variations using SNP genotyping arrays in swine , 2012, BMC Genomics.
[34] Heebal Kim,et al. Deleted copy number variation of Hanwoo and Holstein using next generation sequencing at the population level , 2014, BMC Genomics.
[35] Qingguo Wang,et al. Computational tools for copy number variation (CNV) detection using next-generation sequencing data: features and perspectives , 2013, BMC Bioinformatics.
[36] Yuan Zhang,et al. Genomic analyses identify distinct patterns of selection in domesticated pigs and Tibetan wild boars , 2013, Nature Genetics.
[37] Zhiwu Zhang,et al. Genotyping by Genome Reducing and Sequencing for Outbred Animals , 2013, PloS one.
[38] D. Kenny,et al. Global gene expression in endometrium of high and low fertility heifers during the mid-luteal phase of the estrous cycle , 2014, BMC Genomics.
[39] C. Morton,et al. Mechanisms for Structural Variation in the Human Genome , 2013, Current Genetic Medicine Reports.
[40] Yu-ping Wang,et al. Comparative Studies of Copy Number Variation Detection Methods for Next-Generation Sequencing Technologies , 2013, PloS one.
[41] Q. Xiong,et al. Association analysis of HSP70A1A haplotypes with heat tolerance in Chinese Holstein cattle , 2013, Cell Stress and Chaperones.
[42] Christina A. Castellani,et al. Biological relevance of CNV calling methods using familial relatedness including monozygotic twins , 2014, BMC Bioinformatics.
[43] Jianfeng Liu,et al. Global copy number analyses by next generation sequencing provide insight into pig genome variation , 2014, BMC Genomics.
[44] M. Quintela-Baluja,et al. The Immunology of Mammary Gland of Dairy Ruminants between Healthy and Inflammatory Conditions , 2014, Journal of veterinary medicine.
[45] R. Veerkamp,et al. Whole-genome sequencing of 234 bulls facilitates mapping of monogenic and complex traits in cattle , 2014, Nature Genetics.
[46] Mark Yandell,et al. Wham: Identifying Structural Variants of Biological Consequence , 2015, PLoS Comput. Biol..
[47] G. Cheng,et al. The Differential Expression of Immune Genes between Water Buffalo and Yellow Cattle Determines Species-Specific Susceptibility to Schistosoma japonicum Infection , 2015, PloS one.
[48] Mark Gerstein,et al. MetaSV: an accurate and integrative structural-variant caller for next generation sequencing , 2015, Bioinform..
[49] G. Block,et al. Exposure to Bovine Leukemia Virus Is Associated with Breast Cancer: A Case-Control Study , 2015, PloS one.
[50] F. Samson,et al. Genome-Wide Study of Structural Variants in Bovine Holstein, Montbéliarde and Normande Dairy Breeds , 2015, PloS one.
[51] R. Derijk,et al. Genetic variants in glucocorticoid and mineralocorticoid receptors are associated with concentrations of plasma cortisol, muscle glycogen content, and meat quality traits in male Nellore cattle. , 2015, Domestic animal endocrinology.
[52] N. Kristensen,et al. Absorption and intermediary metabolism of purines and pyrimidines in lactating dairy cows , 2015, British Journal of Nutrition.
[53] K. Ropka-Molik,et al. Identification of genome-wide selection signatures in the Limousin beef cattle breed. , 2016, Journal of animal breeding and genetics = Zeitschrift fur Tierzuchtung und Zuchtungsbiologie.
[54] Timothy P. L. Smith,et al. Using diverse U.S. beef cattle genomes to identify missense mutations in EPAS1, a gene associated with pulmonary hypertension , 2016, F1000Research.
[55] Xiaosong Gu,et al. Ingenuity Pathway Analysis of Gene Expression Profiles in Distal Nerve Stump following Nerve Injury: Insights into Wallerian Degeneration , 2016, Front. Cell. Neurosci..
[56] Huimin Kang,et al. Structural Variant Detection by Large-scale Sequencing Reveals New Evolutionary Evidence on Breed Divergence between Chinese and European Pigs , 2016, Scientific Reports.
[57] Michael A. Black,et al. SRBreak: A Read-Depth and Split-Read Framework to Identify Breakpoints of Different Events Inside Simple Copy-Number Variable Regions , 2016, Front. Genet..
[58] MicroRNA expression profiling of porcine mammary epithelial cells after challenge with Escherichia coli in vitro , 2017, BMC Genomics.
[59] Jing Wang,et al. CNNdel: Calling Structural Variations on Low Coverage Data Based on Convolutional Neural Networks , 2017, BioMed research international.
[60] T. Mushiroda,et al. Pathogen lineage-based genome-wide association study identified CD53 as susceptible locus in tuberculosis , 2017, Journal of Human Genetics.
[61] X. Zhang,et al. Genome‐wide genetic variation discovery in Chinese Taihu pig breeds using next generation sequencing , 2016, Animal genetics.
[62] Jonas Korlach,et al. Discovery and genotyping of structural variation from long-read haploid genome sequence data , 2017, Genome research.
[63] M. Collins,et al. An across-breed genome wide association analysis of susceptibility to paratuberculosis in dairy cattle , 2015, Journal of Dairy Research.
[64] J. Keele,et al. Genome‐wide copy number variation in the bovine genome detected using low coverage sequence of popular beef breeds†,‡ , 2017, Animal genetics.