Comprehensive identification of sexually dimorphic genes in diverse cattle tissues using RNA-seq
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Heebal Kim | S. Rodriguez-Zas | Seoae Cho | Hyun-Jeong Lee | J. Jeong | M. Seo | S. Ka | K. Caetano-Anollés | Sungkwon Park | Min Ji Kim | W. Nho | H. Lee | Minseok Seo | Kelsey Caetano-Anollés
[1] S. D. Rider,et al. Application of One Sided t-tests and a Generalized Experiment Wise Error Rate to High-Density Oligonucleotide Microarray Experiments: An Example Using Arabidopsis. , 2021, Journal of data science : JDS.
[2] Seoae Cho,et al. Transcriptome profiling of differentially expressed genes in floral buds and flowers of male sterile and fertile lines in watermelon , 2015, BMC Genomics.
[3] O. Hanotte,et al. African Indigenous Cattle: Unique Genetic Resources in a Rapidly Changing World , 2015, Asian-Australasian journal of animal sciences.
[4] T. Park,et al. GRACOMICS: software for graphical comparison of multiple results with omics data , 2015, BMC Genomics.
[5] W. Huber,et al. Moderated estimation of fold change and dispersion for RNA-seq data with DESeq2 , 2014, Genome Biology.
[6] Paul Theodor Pyl,et al. HTSeq—a Python framework to work with high-throughput sequencing data , 2014, bioRxiv.
[7] Björn Usadel,et al. Trimmomatic: a flexible trimmer for Illumina sequence data , 2014, Bioinform..
[8] J. Medrano,et al. RNA-seq analysis of single bovine blastocysts , 2013, BMC Genomics.
[9] Cole Trapnell,et al. TopHat2: accurate alignment of transcriptomes in the presence of insertions, deletions and gene fusions , 2013, Genome Biology.
[10] Erik Kristiansson,et al. A novel method for cross-species gene expression analysis , 2013, BMC Bioinformatics.
[11] M. Muñoz,et al. Embryonic sex induces differential expression of proteins in bovine uterine fluid. , 2013, Journal of proteome research.
[12] D. Waxman,et al. Impact of CUX2 on the Female Mouse Liver Transcriptome: Activation of Female-Biased Genes and Repression of Male-Biased Genes , 2012, Molecular and Cellular Biology.
[13] Steven L Salzberg,et al. Fast gapped-read alignment with Bowtie 2 , 2012, Nature Methods.
[14] Davis J. McCarthy,et al. Differential expression analysis of multifactor RNA-Seq experiments with respect to biological variation , 2012, Nucleic acids research.
[15] S. H. Lee,et al. Association of five candidate genes with fatty acid composition in Korean cattle , 2012, Molecular Biology Reports.
[16] T. Lang. The Bone-Muscle Relationship in Men and Women , 2011, Journal of osteoporosis.
[17] Ti-Cheng Chang,et al. ZNF280BY and ZNF280AY: autosome derived Y-chromosome gene families in Bovidae , 2011, BMC Genomics.
[18] I. Robinson,et al. Pituitary growth hormone network responses are sexually dimorphic and regulated by gonadal steroids in adulthood , 2010, Proceedings of the National Academy of Sciences.
[19] Jean Yee Hwa Yang,et al. Comparison study of microarray meta-analysis methods , 2010, BMC Bioinformatics.
[20] W. Huber,et al. which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. MAnorm: a robust model for quantitative comparison of ChIP-Seq data sets , 2011 .
[21] Mark D. Robinson,et al. edgeR: a Bioconductor package for differential expression analysis of digital gene expression data , 2009, Bioinform..
[22] J. Hu,et al. Estimating equation-based causality analysis with application to microarray time series data. , 2009, Biostatistics.
[23] J. Williams,et al. Association of selected SNP with carcass and taste panel assessed meat quality traits in a commercial population of Aberdeen Angus-sired beef cattle , 2009, Genetics Selection Evolution.
[24] Gonçalo R. Abecasis,et al. The Sequence Alignment/Map format and SAMtools , 2009, Bioinform..
[25] K. K. Jose,et al. Statistical tests for identification of differentially expressed genes in cDNA microarray experiments , 2008 .
[26] Yuk Fai Leung,et al. Factorial microarray analysis of zebrafish retinal development , 2008, Proceedings of the National Academy of Sciences.
[27] D. Waxman,et al. Sex-specific early growth hormone response genes in rat liver. , 2008, Molecular endocrinology.
[28] M. Keshavan,et al. Development and sexual dimorphism of the pituitary gland. , 2007, Life sciences.
[29] R. Baler,et al. Elovl3: a model gene to dissect homeostatic links between the circadian clock and nutritional statuss⃞ Published, JLR Papers in Press, September 26, 2006. , 2006, Journal of Lipid Research.
[30] D. Waxman,et al. Growth hormone regulation of sex-dependent liver gene expression. , 2006, Molecular endocrinology.
[31] Yong Zhao,et al. The mortality of MOP3 deficient mice with a systemic functional failure. , 2006, Journal of biomedical science.
[32] A. Arnold,et al. Tissue-specific expression and regulation of sexually dimorphic genes in mice. , 2006, Genome research.
[33] Joseph Beyene,et al. Statistical Methods for Meta-Analysis of Microarray Data: A Comparative Study , 2006, Inf. Syst. Frontiers.
[34] A. Arnold,et al. Sexually dimorphic expression of Usp9x is related to sex chromosome complement in adult mouse brain , 2005, The European journal of neuroscience.
[35] Y. Nishida,et al. Sexually dimorphic gene expression in the hypothalamus, pituitary gland, and cortex. , 2005, Genomics.
[36] Claes Wahlestedt,et al. Considerations when using the significance analysis of microarrays (SAM) algorithm , 2005, BMC Bioinformatics.
[37] H. Fujimaki,et al. Effect of prolonged exposure to low concentrations of formaldehyde on the corticotropin releasing hormone neurons in the hypothalamus and adrenocorticotropic hormone cells in the pituitary gland in female mice , 2004, Brain Research.
[38] Robert Gentleman,et al. Analyzing factorial designed microarray experiments , 2004 .
[39] A. Arnold,et al. Are XX and XY brain cells intrinsically different? , 2004, Trends in Endocrinology & Metabolism.
[40] R. Myers,et al. Gender-Specific Gene Expression in Post-Mortem Human Brain: Localization to Sex Chromosomes , 2004, Neuropsychopharmacology.
[41] R. Dhir,et al. Interpulse growth hormone secretion in the episodic plasma profile causes the sex reversal of cytochrome P450s in senescent male rats , 2003, Proceedings of the National Academy of Sciences of the United States of America.
[42] A. B. Reddy,et al. A clockwork web: circadian timing in brain and periphery, in health and disease , 2003, Nature Reviews Neuroscience.
[43] A. Brooks,et al. Microarray Analysis of Pseudomonas aeruginosa Quorum-Sensing Regulons: Effects of Growth Phase and Environment , 2003, Journal of bacteriology.
[44] A. Arnold,et al. Sex differences in sex chromosome gene expression in mouse brain. , 2002, Human molecular genetics.
[45] Wei Pan,et al. A comparative review of statistical methods for discovering differentially expressed genes in replicated microarray experiments , 2002, Bioinform..
[46] E. Blaak,et al. Gender differences in fat metabolism , 2001, Current opinion in clinical nutrition and metabolic care.
[47] D. Cameron,et al. Estrogen receptors in human preadipocytes , 2001, Endocrine.
[48] R. Rubin,et al. Functional sex differences (`sexual diergism') of central nervous system cholinergic systems, vasopressin, and hypothalamic–pituitary–adrenal axis activity in mammals: a selective review , 1999, Brain Research Reviews.
[49] L. D. Van Vleck,et al. Genetic parameters for sex-specific traits in beef cattle. , 1998, Journal of animal science.
[50] R. Handa,et al. Gonadal Steroid Hormone Receptors and Sex Differences in the Hypothalamo-Pituitary-Adrenal Axis , 1994, Hormones and Behavior.
[51] T. Hökfelt,et al. Central control of hepatic steroid metabolism: effect of discrete hypothalamic lesions. , 1978, Endocrinology.
[52] Aaron T. L. Lun,et al. Differential Expression Analysis of Complex RNA-seq Experiments Using edgeR , 2014 .
[53] Yuan Liu,et al. Mixed anova model analysis of microarray experiments with locally polled error , 2009 .
[54] Brad T. Sherman,et al. Systematic and integrative analysis of large gene lists using DAVID bioinformatics resources , 2008, Nature Protocols.
[55] G. Churchill,et al. Statistical design and the analysis of gene expression microarray data. , 2007, Genetical research.
[56] J. Keijer,et al. Gene expression profiling of adipose tissue: individual, depot-dependent, and sex-dependent variabilities. , 2004, Nutrition.
[57] D. Cameron,et al. Intrinsic Regional Differences in Androgen Receptors and Dihydrotestosterone Metabolism in Human Preadipocytes , 2002, Hormone and metabolic research = Hormon- und Stoffwechselforschung = Hormones et metabolisme.
[58] S. Joo,et al. Influence of slaughter weight and sex on yield and quality grades of Hanwoo (Korean native cattle) carcasses. , 2002, Journal of animal science.
[59] Y. Benjamini,et al. Controlling the false discovery rate: a practical and powerful approach to multiple testing , 1995 .