A systematic comparison and evaluation of high density exon arrays and RNA-seq technology used to unravel the peripheral blood transcriptome of sickle cell disease

[1]  D. Levy,et al.  A systematic comparison and evaluation of high density exon arrays and RNA-seq technology used to unravel the peripheral blood transcriptome of sickle cell disease , 2012, BMC Medical Genomics.

[2]  Julie O. Culver,et al.  Genetics, genomics, and cancer risk assessment , 2011, CA: a cancer journal for clinicians.

[3]  George E. Liu,et al.  Recent applications of DNA sequencing technologies in food, nutrition and agriculture. , 2011, Recent patents on food, nutrition & agriculture.

[4]  Lin Yang,et al.  [New-generation high-throughput technologies based 'omics' research strategy in human disease]. , 2011, Yi chuan = Hereditas.

[5]  Nader Pourmand,et al.  Whole-transcriptome RNAseq analysis from minute amount of total RNA , 2011, Nucleic acids research.

[6]  Kenneth Offit,et al.  Personalized medicine: new genomics, old lessons , 2011, Human Genetics.

[7]  A. Y. Lu,et al.  Pharmacogenetics, Pharmacogenomics, and Individualized Medicine , 2011, Pharmacological Reviews.

[8]  John D. Storey,et al.  Human transcriptome array for high-throughput clinical studies , 2011, Proceedings of the National Academy of Sciences.

[9]  Elaine R. Mardis,et al.  A decade’s perspective on DNA sequencing technology , 2011, Nature.

[10]  E. Sulman,et al.  Tumor Profiling: Development of Prognostic and Predictive Factors to Guide Brain Tumor Treatment , 2011, Current oncology reports.

[11]  Jianhua Zhao,et al.  Advances in whole genome sequencing technology. , 2011, Current pharmaceutical biotechnology.

[12]  B. Timmermann,et al.  The power of NGS technologies to delineate the genome organization in cancer: from mutations to structural variations and epigenetic alterations , 2011, Cancer and Metastasis Reviews.

[13]  B. Taylor,et al.  Clinical cancer genomics: how soon is now? , 2011, The Journal of pathology.

[14]  A. Camilli,et al.  Discovery of bacterial sRNAs by high-throughput sequencing. , 2011, Methods in molecular biology.

[15]  S. Tommasi,et al.  Innovative technology for cancer risk analysis. , 2011, Annals of oncology : official journal of the European Society for Medical Oncology.

[16]  R. Souza,et al.  Biomarkers and molecular diagnosis of gastrointestinal and pancreatic neoplasms , 2010, Nature Reviews Gastroenterology &Hepatology.

[17]  Igor Rudan,et al.  New technologies provide insights into genetic basis of psychiatric disorders and explain their co-morbidity. , 2010, Psychiatria Danubina.

[18]  David B Goldstein,et al.  Screening the human exome: a comparison of whole genome and whole transcriptome sequencing , 2010, Genome Biology.

[19]  Catalin C. Barbacioru,et al.  RNA-Seq analysis to capture the transcriptome landscape of a single cell , 2010, Nature Protocols.

[20]  Aaron R. Quinlan,et al.  Bioinformatics Applications Note Genome Analysis Bedtools: a Flexible Suite of Utilities for Comparing Genomic Features , 2022 .

[21]  Michael P. Snyder,et al.  RNA‐Seq: A Method for Comprehensive Transcriptome Analysis , 2010, Current protocols in molecular biology.

[22]  C. Lam,et al.  Microarrays for personalized genomic medicine. , 2010, Advances in clinical chemistry.

[23]  Crispin J. Miller,et al.  A comparison of massively parallel nucleotide sequencing with oligonucleotide microarrays for global transcription profiling , 2010, BMC Genomics.

[24]  M. Gladwin,et al.  Vasculopathy in sickle cell disease: Biology, pathophysiology, genetics, translational medicine, and new research directions , 2009, American journal of hematology.

[25]  M. Gladwin,et al.  Characterization of Whole Blood Gene Expression Profiles as a Sequel to Globin mRNA Reduction in Patients with Sickle Cell Disease , 2009, PloS one.

[26]  Lior Pachter,et al.  Sequence Analysis , 2020, Definitions.

[27]  M. Stephens,et al.  RNA-seq: an assessment of technical reproducibility and comparison with gene expression arrays. , 2008, Genome research.

[28]  B. Williams,et al.  Mapping and quantifying mammalian transcriptomes by RNA-Seq , 2008, Nature Methods.

[29]  C. Morris Mechanisms of vasculopathy in sickle cell disease and thalassemia. , 2008, Hematology. American Society of Hematology. Education Program.

[30]  D. Kell BMC Medical Genomics , 2008 .

[31]  Timothy J. Triche,et al.  Experimental Comparison and Evaluation of the Affymetrix Exon and U133Plus2 GeneChip Arrays , 2007, PloS one.

[32]  S. Goh,et al.  High levels of GDF15 in thalassemia suppress expression of the iron regulatory protein hepcidin , 2007, Nature Medicine.

[33]  Peter J. Munson,et al.  Amplified Expression Profiling of Platelet Transcriptome Reveals Changes in Arginine Metabolic Pathways in Patients With Sickle Cell Disease , 2007, Circulation.

[34]  M. Gladwin,et al.  Blood mononuclear cell gene expression profiles characterize the oxidant, hemolytic, and inflammatory stress of sickle cell disease. , 2004, Blood.

[35]  C. Brugnara,et al.  Pathophysiological-based approaches to treatment of sickle cell disease. , 2003, Annual review of medicine.

[36]  A. Fischer,et al.  Munc13-4 Is Essential for Cytolytic Granules Fusion and Is Mutated in a Form of Familial Hemophagocytic Lymphohistiocytosis (FHL3) , 2003, Cell.

[37]  I. Bièche,et al.  Quantitation of androgen receptor gene expression in sporadic breast tumors by real-time RT-PCR: evidence that MYC is an AR-regulated gene. , 2001, Carcinogenesis.

[38]  Y. Benjamini,et al.  Controlling the false discovery rate: a practical and powerful approach to multiple testing , 1995 .

[39]  H. Willard,et al.  Assignment of human erythroid delta-aminolevulinate synthase (ALAS2) to a distal subregion of band Xp11.21 by PCR analysis of somatic cell hybrids containing X; autosome translocations. , 1992, Genomics.

[40]  T. Cox,et al.  Human erythroid 5‐aminolevulinate synthase: promoter analysis and identification of an iron‐responsive element in the mRNA. , 1991, The EMBO journal.