نتایج جستجو برای: rna seq
تعداد نتایج: 256145 فیلتر نتایج به سال:
Given the importance of transcriptome analysis in various biological studies and considering thevast amount of whole transcriptome sequencing data, it seems necessary to develop analgorithm to assemble transcriptome data. In this study we propose an algorithm fortranscriptome assembly in the absence of a reference genome. First, the contiguous sequencesare generated using de Bruijn graph with d...
RNA-sequencing technology has been widely adopted to investigate host responses during infection with pathogens. Dual RNA-sequencing (RNA-seq) allows the simultaneous capture of pathogen-specific transcripts during infection, providing a more complete view of the interaction. In this review, we focus on the design of dual RNAseq experiments and the application of downstream data analysis to gai...
شور شدن زمینهای کشاورزی یکی از مهم‌ترین عامل‌های محدودکنندۀ تولیدات کشاورزی و تهدیدکنندۀ امنیت غذایی در کشورهای جهان بهشمار می‌آید. فعال شدن مسیرهای سیگنالی نخستین رخداد در شناسایی تنشهای محیطی برای گیاهان بهشمار می‌آید. شناسایی اجزای شبکۀ سیگنالی در پاسخ به تنش شوری با استفاده از روش RNA Seq در گیاه آجیلوپس به‌عنوان منشأ ژنگان (ژنوم) DD در گندم، اهمیت زیادی دارد. توالییابی RNA به همراه اس...
The number of RNA-Seq studies has grown in recent years. The design of RNA-Seq studies varies from very simple (e.g., two-condition case-control) to very complicated (e.g., time series involving multiple samples at each time point with separate drug treatments). Most of these publically available RNA-Seq studies are deposited in NCBI databases, but their metadata are scattered throughout four d...
Next-generation sequencing technologies have revolutionarily advanced sequence-based research with the advantages of high-throughput, high-sensitivity, and high-speed. RNA-seq is now being used widely for uncovering multiple facets of transcriptome to facilitate the biological applications. However, the large-scale data analyses associated with RNA-seq harbors challenges. In this study, we pres...
Deep sequencing of RNAs (RNA-seq) has been a useful tool to characterize and quantify transcriptomes. However, there are significant challenges in the analysis of RNA-seq data, such as how to separate signals from sequencing bias and how to perform reasonable normalization. Here, we focus on a fundamental question in RNA-seq analysis: the distribution of the position-level read counts. Specific...
Thanks to the microarray technology, our understanding of transcriptome evolution at the genome level has been considerably advanced in the past decade. Yet, further investigation was challenged by several technical limitations of this technology. Recent innovation of next-generation sequencing, particularly the invention of RNA-seq technology, has shed insightful lights on resolving this probl...
RNA-Seq is an effective method to study the transcriptome, but can be difficult to apply to scarce or degraded RNA from fixed clinical samples, rare cell populations, or cadavers. Recent studies have proposed several methods for RNA-Seq of low quality and/or low quantity samples, but their relative merits have not been systematically analyzed. Here, we compare five such methods using metrics re...
Analysis of Genetic Differences in Genes Associated with Immune Response Among Purebred and Crossbreed Sistani Montebeliarde Cow Populations using RNA-Seq Data
In bioinformatics, exon skipping (ES) event prediction is an essential part of alternative splicing (AS) event analysis. Although many methods have been developed to predict ES events, a solution has yet to be found. In this study, given the limitations of machine learning algorithms with RNA-Seq data or genome sequences, a new feature, called RS (RNA-seq and sequence) features, was constructed...
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