نتایج جستجو برای: ترانسکریپتوم و rna seq

تعداد نتایج: 1015057  

2010
Mohammad Shirali-Shahreza M. Hassan Shirali-Shahreza

ناآ دقل رهوج ،ةيفخ ةفصب تامولعملا لاسرإ و لاصتلاا عوضوم مدقلا ذنم مامتهلاا و ديعب نمز ذنم عساو لكشب مدختست ةيصنلا قئاثولا تناآ ، صوصنلا يف تامولعملا ءافخلإ ةفلتخم اًقرط مويلا ىتح نمز ذنم دهشن نحن كلذل ) Text Steganography .( لاقملا اذه نإ ط لوانتي ةيبرعلا و ةيسرافلا صوصنلا يف تامولعملا ءافخلإ ةديدج ةقير . و دوآ ينويلا ةفصاوم يف دجوي ) Unicode ( ءايلا فرحل نافلتخم نازمر » ى « ، فاكلا فرحل كلذآو...

Journal: :Nature Reviews Genetics 2013

Journal: :Frontiers in Immunology 2023

Background Sepsis is a life-threatening condition with high mortality. A few studies have emerged utilizing single-cell RNA sequencing (scRNA-seq) to analyze gene expression at the resolution in sepsis, but comprehensive high-resolution analysis of blood antigen-presenting cells has not been conducted. Methods All published human scRNA-seq data were downloaded from single cell portal database. ...

Journal: :Journal of computational biology : a journal of computational molecular cell biology 2010
Bogdan Pasaniuc Noah Zaitlen Eran Halperin

Abstract Next generation high-throughput sequencing (NGS) is poised to replace array-based technologies as the experiment of choice for measuring RNA expression levels. Several groups have demonstrated the power of this new approach (RNA-seq), making significant and novel contributions and simultaneously proposing methodologies for the analysis of RNA-seq data. In a typical experiment, millions...

2013
Ammar Zaghlool Adam Ameur Linnea Nyberg Jonatan Halvardson Manfred Grabherr Lucia Cavelier Lars Feuk

BACKGROUND The starting material for RNA sequencing (RNA-seq) studies is usually total RNA or polyA+ RNA. Both forms of RNA represent heterogeneous pools of RNA molecules at different levels of maturation and processing. Such heterogeneity, in addition to the biases associated with polyA+ purification steps, may influence the analysis, sensitivity and the interpretation of RNA-seq data. We hypo...

2014
James R Perkins Ana Antunes-Martins Margarita Calvo John Grist Werner Rust Ramona Schmid Tobias Hildebrandt Matthias Kohl Christine Orengo Stephen B McMahon David LH Bennett

BACKGROUND The past decade has seen an abundance of transcriptional profiling studies of preclinical models of persistent pain, predominantly employing microarray technology. In this study we directly compare exon microarrays to RNA-seq and investigate the ability of both platforms to detect differentially expressed genes following nerve injury using the L5 spinal nerve transection model of neu...

Journal: :eLife 2021

Macrophages undergo programmatic changes with age, leading to altered cytokine polarization and immune dysfunction, shifting these critical cells from protective sentinels disease promoters. The molecular mechanisms underlying macrophage inflammaging are poorly understood. Using an unbiased RNA sequencing (RNA-seq) approach, we identified Mir146b as a microRNA whose expression progressively uni...

Journal: :Physiological genomics 2014
Eirill Ager-Wick Christiaan V Henkel Trude M Haug Finn-Arne Weltzien

RNA-Seq has become a widely used method to study transcriptomes, and it is now possible to perform RNA-Seq on almost any sample. Nevertheless, samples obtained from small cell populations are particularly challenging, as biases associated with low amounts of input RNA can have strong and detrimental effects on downstream analyses. Here we compare different methods to normalize RNA-Seq data obta...

2013
Man-Kee Maggie Chu Wenqing He

The next generation sequencing technology (RNA-seq) provides absolute quantification of gene expression using counts of read. Transcriptome studies are switching to rely on RNA-seq rather than microarrays since RNA-seq has higher sensitivity and dynamic range, with lower technical variation and thus higher precision than microarrays. Limited work has been done on expression analysis of longitud...

2015
Jinghua Gu Qiumei Gu Xuan Wang Pingjian Yu Wei Lin

The significance of single-cell transcription resides not only in the cumulative expression strength of the cell population but also in its heterogeneity. We propose a new model that improves the detection of changes in the transcriptional heterogeneity pattern of RNA-Seq data using two heterogeneity parameters: ‘burst proportion’ and ‘burst magnitude’, whose changes are validated using RNA-FIS...

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