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標題: Titlebook: Gene Expression Analysis; Methods and Protocol Nalini Raghavachari,Natàlia Garcia-Reyero Book 2018 Springer Science+Business Media, LLC, pa [打印本頁]

作者: stripper    時間: 2025-3-21 19:15
書目名稱Gene Expression Analysis影響因子(影響力)




書目名稱Gene Expression Analysis影響因子(影響力)學科排名




書目名稱Gene Expression Analysis網(wǎng)絡公開度




書目名稱Gene Expression Analysis網(wǎng)絡公開度學科排名




書目名稱Gene Expression Analysis被引頻次




書目名稱Gene Expression Analysis被引頻次學科排名




書目名稱Gene Expression Analysis年度引用




書目名稱Gene Expression Analysis年度引用學科排名




書目名稱Gene Expression Analysis讀者反饋




書目名稱Gene Expression Analysis讀者反饋學科排名





作者: MEN    時間: 2025-3-21 20:26

作者: 責問    時間: 2025-3-22 03:18
Dialogue and Collaboration: Girls and Boys, matched samples including fresh frozen (FF) or formalin-fixed, paraffin-embedded (FFPE) from tumor/normal tissues we generated high-quality data using a protocol that does not require upfront ribosomal depletion or poly(A) selection. Using SureSelect. RNA Direct protocol (RNA Direct) workflow, we f
作者: 寄生蟲    時間: 2025-3-22 05:43

作者: Ceramic    時間: 2025-3-22 09:24
https://doi.org/10.1007/978-3-663-02375-3periment, which often leads to impreciseness for example, target mRNA transcribed from the same source should be identical every time. In such cases, developing an optimized protocol for microarray platform to study the expression profiling of differentially regulated genes is a challenging task. Th
作者: Highbrow    時間: 2025-3-22 15:35
fidence interactions were validated in literature, and our inferred network captured two major cell death pathways by identifying BCL2L11 and PMAIP1 as key interacting players for the intrinsic apoptosis pathway, and TAXBP1 and TNFAIP3 for the extrinsic apoptosis pathway. Our inferred apoptosis netw
作者: Highbrow    時間: 2025-3-22 20:11
A Guide for Designing and Analyzing RNA-Seq Data,xperiments. We describe critical aspects of wet lab experiments such as RNA isolation, library preparation and the initial design of an experiment. Further, we provide a step-by-step description of the bioinformatics workflow for different steps involved in RNA-Seq data analysis. This includes power
作者: cogitate    時間: 2025-3-23 00:29
SureSelectXT RNA Direct: A Technique for Expression Analysis Through Sequencing of Target-Enriched matched samples including fresh frozen (FF) or formalin-fixed, paraffin-embedded (FFPE) from tumor/normal tissues we generated high-quality data using a protocol that does not require upfront ribosomal depletion or poly(A) selection. Using SureSelect. RNA Direct protocol (RNA Direct) workflow, we f
作者: osteoclasts    時間: 2025-3-23 03:14

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作者: 束縛    時間: 2025-3-24 02:12

作者: 值得    時間: 2025-3-24 04:11
https://doi.org/10.1057/9781137479655 of miRNA library for next-generation sequencing to increase the efficiency of adapter ligation and finally construct a more specific cDNA library for sequencing and analyses for miRNA expression profiling.
作者: Conduit    時間: 2025-3-24 07:29

作者: resilience    時間: 2025-3-24 13:58
RNA-Seq and Expression Arrays: Selection Guidelines for Genome-Wide Expression Profiling, analytical differences between the two platforms, reports in the literature comparing arrays and RNA-Seq for gene expression, and our own example study and experience, we provide recommendations for platform selection for gene expression studies.
作者: 誤傳    時間: 2025-3-24 16:40
Transcript Profiling Using Long-Read Sequencing Technologies, In this chapter, we describe experimental procedures for library preparation, sequencing, and associated data analysis approaches for PacBio and ONT with a major focus on full length cDNA synthesis, de novo transcriptome assembly, and isoform quantification.
作者: Palpate    時間: 2025-3-24 20:51

作者: Spartan    時間: 2025-3-25 02:56
A Review of Transcriptome Analysis in Pulmonary Vascular Diseases, in diseased onset and progression, developed gene signatures to appropriately classify types of pulmonary hypertension and severity of illness, and identified novel gene mutations leading to hereditary forms of the disease.
作者: ligature    時間: 2025-3-25 06:24

作者: 分開    時間: 2025-3-25 09:38
Juan Albarracin-Jordan,Thérèse Bouchardh comprehensive transcriptional characterization of mRNA, miRNA, lncRNA, and small RNA in a robust and successful manner. Transcriptomic strategies are gaining momentum across diverse areas of biological, plant sciences, medical, clinical, and pharmaceutical research for biomarker discovery, and disease diagnosis and prognosis.
作者: 打算    時間: 2025-3-25 14:57

作者: 酷熱    時間: 2025-3-25 17:54
the advance of high throughput assay of messenger RNA (mRNA) and high performance computing, reconstructing such network from molecular data such as gene expression is now possible. This chapter discusses an overview of methods of constructing such networks, practical considerations, and an example.
作者: 恩惠    時間: 2025-3-25 20:57

作者: Lasting    時間: 2025-3-26 03:18

作者: 領巾    時間: 2025-3-26 06:14
https://doi.org/10.1007/978-4-431-53895-0omplexities involved in sequencing and analysis, and tries to simplify sequencing based gene expression analysis. Biologists and experimental scientists were kept in mind while discussing the methods and analysis workflow.
作者: CRATE    時間: 2025-3-26 10:42
Seq peaks, calculating RPKMs, performing differential binding or gene expression analysis, and creating plots and heat maps. We specifically describe how to use BioWardrobe’s quality control measures for troubleshooting NGS-based experiments.
作者: 潛移默化    時間: 2025-3-26 15:25

作者: 蔑視    時間: 2025-3-26 18:58
Single-Cell mRNA-Seq Using the Fluidigm C1 System and Integrated Fluidics Circuits,CR) and off-chip sequencing library preparation protocols are described. The workflow generates full-length mRNA information, which is more valuable compared to 3′ end counting method for many applications.
作者: 朦朧    時間: 2025-3-27 00:44

作者: ARIA    時間: 2025-3-27 02:31
Analysis of ChIP-Seq and RNA-Seq Data with BioWardrobe,Seq peaks, calculating RPKMs, performing differential binding or gene expression analysis, and creating plots and heat maps. We specifically describe how to use BioWardrobe’s quality control measures for troubleshooting NGS-based experiments.
作者: 好色    時間: 2025-3-27 06:09

作者: 不要不誠實    時間: 2025-3-27 11:30

作者: Headstrong    時間: 2025-3-27 13:57
Linda Marie Randolph MD,Ramen H. Chmait MDanscriptomic analysis, we also describe the modified hot borate RNA extraction protocol specific for high quality and quantity plant total RNA isolation, and some comments and suggestions to achieve better assessments in the validation of RNA and library quality and data analysis.
作者: 伙伴    時間: 2025-3-27 20:59

作者: FAR    時間: 2025-3-28 00:39
Differential Gene Expression Analysis of Plants,anscriptomic analysis, we also describe the modified hot borate RNA extraction protocol specific for high quality and quantity plant total RNA isolation, and some comments and suggestions to achieve better assessments in the validation of RNA and library quality and data analysis.
作者: BRIDE    時間: 2025-3-28 02:25

作者: 平庸的人或物    時間: 2025-3-28 10:00

作者: PLAYS    時間: 2025-3-28 10:38
Making and Sequencing Heavily Multiplexed, High-Throughput 16S Ribosomal RNA Gene Amplicon Librarie can be performed in a straightforward, two-stage PCR method, described herein. The protocol described allows for up to 384 samples to be sequenced simultaneously, and provides great flexibility in choice of primers.
作者: constitute    時間: 2025-3-28 17:34

作者: 規(guī)范就好    時間: 2025-3-28 21:00

作者: Grasping    時間: 2025-3-29 00:53

作者: 可忽略    時間: 2025-3-29 03:45
Juan Albarracin-Jordan,Thérèse Bouchardssues in an effort to unravel biological pathways associated with development and disease. The advent of technologies is now enabling the study of such comprehensive transcriptional characterization of mRNA, miRNA, lncRNA, and small RNA in a robust and successful manner. Transcriptomic strategies ar
作者: Nonflammable    時間: 2025-3-29 08:03
Children‘s Rights in International Politicsore the transcriptome and to better understand biological systems and their perturbation. In this chapter we provide an overview of microarray and massively parallel sequencing technologies and their application to gene expression analysis. We discuss factors that impact expression data generation a
作者: Pastry    時間: 2025-3-29 14:40
Deborah L. Best,Judith L. Gibbonsst frequently performed experimental techniques in molecular biology. The development of the RNA-Sequencing (RNA-Seq) method allows an unprecedented opportunity to analyze expression of protein-coding, noncoding RNA and also de novo transcript assembly of a new species or organism. However, the plan
作者: AROMA    時間: 2025-3-29 18:16
Dialogue and Collaboration: Girls and Boys,pplications can benefit from reducing the number of processing steps including eliminating the poly(A) selection and ribosomal depletion steps. When performing targeted capture, we have found that we can eliminate the upfront poly(A) selection/ribosomal depletion steps that cause bias in standard mR
作者: 緊張過度    時間: 2025-3-29 22:07

作者: 粗糙濫制    時間: 2025-3-30 00:05

作者: 虛構(gòu)的東西    時間: 2025-3-30 04:31
https://doi.org/10.1007/978-94-011-8902-6haracterize the composition and structure of microbial communities. Preparing genomic DNA for sequencing of such gene fragments on Illumina sequencers can be performed in a straightforward, two-stage PCR method, described herein. The protocol described allows for up to 384 samples to be sequenced si
作者: 徹底明白    時間: 2025-3-30 09:00
https://doi.org/10.1057/9781137479655argets has been aided by miRNA expression profiling studies including multiplex PCR, microarrays, and recent next-generation sequencing tools. Next-generation sequencing has enabled us to profile thousands of genes in a single experiment and overcome the background signal and cross-hybridization iss
作者: BET    時間: 2025-3-30 12:48

作者: 拍翅    時間: 2025-3-30 17:45
Ian Roxborough,Philip O’Brien,Jackie Roddick for single-cell analysis owing both to the small volume of the reaction chambers and easiness of automation. Here we describe the workflow of single-cell mRNA-seq using C1 IFC, which can isolate and process up to 96 cells. Both on-chip procedure (lysis, reverse transcription, and preamplification P
作者: drusen    時間: 2025-3-31 00:20

作者: 混亂生活    時間: 2025-3-31 01:41

作者: 江湖郎中    時間: 2025-3-31 06:46
Conclusions and Policy Implications,rocess that consists of several unique pathologies sharing a common clinical definition, that of elevated pressure within the pulmonary circulation. As such, it has become increasingly important to identify both similarities and differences among the different classes of pulmonary hypertension. Tran
作者: 套索    時間: 2025-3-31 12:25

作者: 同謀    時間: 2025-3-31 13:44
https://doi.org/10.1007/978-4-431-53895-0y for RNA-Seq analysis enables better understanding of gene expression patterns in model and nonmodel organisms. Sequencing per se has reached the stage of commodity level while analyzing and interpreting huge amount of data has been a significant challenge. This chapter is aimed at discussing the c
作者: infantile    時間: 2025-3-31 21:03
etwork. Identifying and understanding such patterns is crucial in deciphering molecular mechanisms that underlie the pathophysiology of diseases. With the advance of high throughput assay of messenger RNA (mRNA) and high performance computing, reconstructing such network from molecular data such as
作者: 輕觸    時間: 2025-3-31 22:18
is. However, biologists performing these experiments often lack training in bioinformatics. BioWardrobe aims to bridge this gap by providing a convenient user interface and by automating routine data-processing steps. This protocol details the use of BioWardrobe for identifying and visualizing ChIP-
作者: 載貨清單    時間: 2025-4-1 03:45

作者: CLEAR    時間: 2025-4-1 07:19
https://doi.org/10.1007/978-1-4939-7834-2exportin-5; nucleocytoplasmatic transport factors; chromatin modiification; histone acetylation; cytosin
作者: Felicitous    時間: 2025-4-1 10:40
Nalini Raghavachari,Natàlia Garcia-ReyeroIncludes cutting-edge methods an protocols.Provides step-by-step detail essential for reproducible results.Contains key notes and implementation advice from the experts
作者: 燦爛    時間: 2025-4-1 16:00

作者: 吝嗇性    時間: 2025-4-1 20:19
RNA-Seq and Expression Arrays: Selection Guidelines for Genome-Wide Expression Profiling,ore the transcriptome and to better understand biological systems and their perturbation. In this chapter we provide an overview of microarray and massively parallel sequencing technologies and their application to gene expression analysis. We discuss factors that impact expression data generation a
作者: notification    時間: 2025-4-2 01:39

作者: Entreaty    時間: 2025-4-2 03:19

作者: Morsel    時間: 2025-4-2 09:08
,Simultaneous, Multiplexed Detection of RNA and Protein on the NanoString? nCounter? Platform,n (mRNA), DNA, and protein. The technology uses molecular barcodes and single-molecule imaging to detect and count unique mRNA and protein targets in a single reaction. nCounter-based detection is enzyme-free (no amplification of mRNA is required), fully automated, and allows simultaneous detection
作者: 吃掉    時間: 2025-4-2 12:39
Transcript Profiling Using Long-Read Sequencing Technologies,arly for large-scale high-throughput studies. NGS technologies comprise short-read RNA-Seq (dominated by Illumina) and long-read RNA-Seq technologies provided by Pacific Bioscience (PacBio) and Oxford Nanopore Technologies (ONT). Although short-read sequencing technologies are the most widely used,




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