標題: Titlebook: RNA Bioinformatics; Ernesto Picardi Book 2021Latest edition Springer Science+Business Media, LLC, part of Springer Nature 2021 Computation [打印本頁] 作者: audiogram 時間: 2025-3-21 17:41
書目名稱RNA Bioinformatics影響因子(影響力)
書目名稱RNA Bioinformatics影響因子(影響力)學科排名
書目名稱RNA Bioinformatics網絡公開度
書目名稱RNA Bioinformatics網絡公開度學科排名
書目名稱RNA Bioinformatics被引頻次
書目名稱RNA Bioinformatics被引頻次學科排名
書目名稱RNA Bioinformatics年度引用
書目名稱RNA Bioinformatics年度引用學科排名
書目名稱RNA Bioinformatics讀者反饋
書目名稱RNA Bioinformatics讀者反饋學科排名
作者: inferno 時間: 2025-3-21 22:00 作者: CRAMP 時間: 2025-3-22 04:10
Computational Analysis of circRNA Expression Data,ally reproducible analysis of circRNA expression starting for a public RNA-Seq experiment. The main steps of circRNA prediction, annotation, classification, sequence reconstruction, quantification, and differential expression are illustrated.作者: 裹住 時間: 2025-3-22 07:33 作者: 制定 時間: 2025-3-22 09:08
Advanced Design of Structural RNAs Using RNARedPrint,erties. This chapter describes how to use the software . for the de novo rational design of RNA sequences adopting one or several desired secondary structures. Depending on the application, these structures could represent alternate configurations or kinetic pathways. The software makes such design 作者: 重畫只能放棄 時間: 2025-3-22 16:32
Modeling and Predicting RNA Three-Dimensional Structures,cs-based approaches and molecular dynamics simulations are not tractable on large molecules with all-atom models. To address this issue, coarse-grained models of RNA three-dimensional structures have been developed. In this chapter, we describe a graphical modeling based on the Leontis–Westhof exten作者: 虛構的東西 時間: 2025-3-22 19:21
Motif Discovery from CLIP Experiments, RNA-Binding Proteins, and several methods have been developed to meet the need of fast and efficient discovery of interaction motifs. Recent advances have increased the amount of data produced by experimental assays and there is no available method suitable for the analysis of all type of results. 作者: Wernickes-area 時間: 2025-3-22 23:07
Profiling of RNA Structure at Single-Nucleotide Resolution Using nextPARS, secondary structure of RNAs is central to understanding RNA function and evolution. RNA structure probing techniques coupled to high-throughput sequencing allow determining structural features of RNA molecules at transcriptome-wide scales. Our group recently developed a novel Illumina-based impleme作者: PANT 時間: 2025-3-23 01:31 作者: 過濾 時間: 2025-3-23 06:06
Using RNentropy to Detect Significant Variation in Gene Expression Across Multiple RNA-Seq or Singlhave been proposed to model and detect differential gene expression based on the comparison of transcript abundances across different samples. However, state-of-the-art methods for this task are usually designed for pairwise comparisons, that is, can identify significant variation of expression only作者: enlist 時間: 2025-3-23 09:56 作者: recede 時間: 2025-3-23 15:52
for Isoform Quantification in Large-Scale RNA Sequencing,ysis, there is growing evidence that most mammalian genes are alternatively spliced to generate different isoforms that can be subsequently translated to protein molecules with diverse or even opposing biological functions. Quantifying the expression levels of these isoforms is key to understanding 作者: 聚集 時間: 2025-3-23 18:07 作者: 中子 時間: 2025-3-23 23:20 作者: 別炫耀 時間: 2025-3-24 03:05
Differential Expression Analysis of Long Noncoding RNAs,xpression genes are commonly observed in lncRNA and need to be effectively accommodated in differential expression analysis. In this chapter, we describe a protocol based on existing R packages for lncRNA differential expression analysis, including lncDIFF, ShrinkBayes, DESeq2, edgeR, and zinbwave, 作者: 樂意 時間: 2025-3-24 10:12 作者: 有效 時間: 2025-3-24 13:07 作者: 思想靈活 時間: 2025-3-24 16:46
RNA Editing Detection in HPC Infrastructures,fects and its deregulation has been linked to a variety of human disorders including neurological and neurodegenerative diseases and cancer. Despite its biological relevance, the detection of RNA editing variants in large transcriptome sequencing experiments (RNAseq) is yet a challenging computation作者: Schlemms-Canal 時間: 2025-3-24 20:58 作者: 臭了生氣 時間: 2025-3-25 02:04 作者: 慢跑鞋 時間: 2025-3-25 04:18 作者: chisel 時間: 2025-3-25 10:45
Dimensionality Reduction of Single-Cell RNA-Seq Data,cal dimensionality reduction workflow that is used for scRNA-seq datasets, specifically highlighting the roles of principal component analysis, t-distributed stochastic neighborhood embedding, and uniform manifold approximation and projection in this setting. We particularly emphasize efficient comp作者: 新手 時間: 2025-3-25 14:57
Single-Cell RNA Sequencing Analysis: A Step-by-Step Overview, a single experiment. Since its introduction, single-cell RNA sequencing (scRNA-seq) approaches have revolutionized the genomics field as they created unprecedented opportunities for resolving cell heterogeneity by exploring gene expression profiles at a single-cell resolution. However, the rapidly 作者: semble 時間: 2025-3-25 16:15 作者: Exclude 時間: 2025-3-25 22:07
Advanced Design of Structural RNAs Using RNARedPrint,ructures. Depending on the application, these structures could represent alternate configurations or kinetic pathways. The software makes such design convenient and sufficiently fast for practical routine, where it even overcomes notorious problems in the application of RNA design, e.g., it maintains realistic . content.作者: BRUNT 時間: 2025-3-26 02:38
Statistical Modeling of High Dimensional Counts,orming data input, scaling/normalization, visualization, and statistical testing to determine sets of features where the counts reflect differences in gene expression across samples. Finally, I discuss limitations and possible extensions to the models presented here.作者: NORM 時間: 2025-3-26 06:09 作者: conference 時間: 2025-3-26 10:31 作者: Obstruction 時間: 2025-3-26 13:43
Normalization of Single-Cell RNA-Seq Data,mers. Here, we show how to use R/Bioconductor to calculate normalization factors, apply them to compute normalized data, and compare several normalization approaches. Finally, we briefly show how to perform downstream analysis steps on the normalized data.作者: Kidney-Failure 時間: 2025-3-26 18:41 作者: 假裝是你 時間: 2025-3-26 21:58
Motif Discovery from CLIP Experiments,est cover the landscape of approaches. A detailed analysis is presented to highlight the need for different algorithms in different working settings. In conclusion, the proposed workflow depends on the nature of the starting data and on the availability of RNA annotations.作者: BOON 時間: 2025-3-27 03:34
Summarizing RNA-Seq Data or Differentially Expressed Genes Using Gene Set, Network, or Pathway Anal available and frequently updated software. Finally, we conclude this chapter by presenting a survival pathway analysis of a multiomics dataset. During this overview of different methods, we focus on visualization, which is a fundamental but challenging step in this computational field.作者: 侵蝕 時間: 2025-3-27 05:40
Differential Expression Analysis of Long Noncoding RNAs, tools based on the implemented core algorithms and statistical models. We hope that this chapter will provide readers with a practical guide on the analysis choices in lncRNA differential expression analysis.作者: 殺蟲劑 時間: 2025-3-27 11:38
Micro-RNA Quantification, Target Gene Identification, and Pathway Analysis,dance estimation. Building on these results, we normalize expression profiles and compute differentially expressed microRNAs between sample groups of interest. We conclude by showing how to employ pathway analysis to identify molecular signatures corresponding to biological processes that are significantly altered by the action for microRNAs.作者: Endoscope 時間: 2025-3-27 15:23 作者: STALL 時間: 2025-3-27 21:47
Modeling and Predicting RNA Three-Dimensional Structures,cules and present the RNA-MoIP web server (http://rnamoip.cs.mcgill.ca) that streamlines the computational and visualization processes. Finally, we show recent advances in the prediction of local 3D motifs from sequence data with the BayesPairing software and discuss its impact toward complete 3D structure prediction.作者: MOAT 時間: 2025-3-28 00:10
978-1-0716-1309-2Springer Science+Business Media, LLC, part of Springer Nature 2021作者: 假設 時間: 2025-3-28 05:04
RNA Bioinformatics978-1-0716-1307-8Series ISSN 1064-3745 Series E-ISSN 1940-6029 作者: Aviary 時間: 2025-3-28 08:10 作者: 最初 時間: 2025-3-28 11:24
Methods in Molecular Biologyhttp://image.papertrans.cn/r/image/820153.jpg作者: Pruritus 時間: 2025-3-28 17:12 作者: 粗野 時間: 2025-3-28 19:40 作者: chance 時間: 2025-3-29 00:08 作者: Traumatic-Grief 時間: 2025-3-29 04:58
Identification of Genes Post-Transcriptionally Regulated from RNA-seq: The Case Study of Liver Hepaessing, degradation, or a combination of the two. We illustrate how the INSPEcT R/Bioconductor package could be used to infer post-transcriptional regulation in TCGA RNA-seq samples for Hepatocellular Carcinoma.作者: 圍巾 時間: 2025-3-29 11:11 作者: Dedication 時間: 2025-3-29 14:25
Book 2021Latest editionnd of expert implementation advice that encourages quality results. Comprehensive and up-to-date, .RNA Bioinformatics, Second Edition. serves as an ideal guide for researchers digging ever-deeper into the depths of the study of RNAs..The chapter ‘RNA-Seq Data Analysis in Galaxy‘ is open access under作者: affect 時間: 2025-3-29 17:50 作者: 螢火蟲 時間: 2025-3-29 20:27 作者: Meditative 時間: 2025-3-30 03:51
1064-3745 deal guide for researchers digging ever-deeper into the depths of the study of RNAs..The chapter ‘RNA-Seq Data Analysis in Galaxy‘ is open access under978-1-0716-1309-2978-1-0716-1307-8Series ISSN 1064-3745 Series E-ISSN 1940-6029 作者: Vulvodynia 時間: 2025-3-30 08:05 作者: florid 時間: 2025-3-30 12:12
Vladimir Reinharz,Roman Sarrazin-Gendron,Jér?me Waldispühl作者: FELON 時間: 2025-3-30 15:12
Marco Pietrosanto,Gabriele Ausiello,Manuela Helmer-Citterich作者: FOIL 時間: 2025-3-30 18:23 作者: MAL 時間: 2025-3-30 23:03 作者: Stress-Fracture 時間: 2025-3-31 04:02
Giulio Ferrero,Nicola Licheri,Michele De Bortoli,Raffaele A. Calogero,Marco Beccuti,Francesca Corder作者: CLOUT 時間: 2025-3-31 08:44 作者: 不如屎殼郎 時間: 2025-3-31 12:17
Claudio Lo Giudice,Luigi Mansi,Tiziano Flati,Silvia Gioiosa,Giovanni Chillemi,Pietro Libro,Tiziana C作者: BRINK 時間: 2025-3-31 15:30 作者: Consensus 時間: 2025-3-31 19:17 作者: VALID 時間: 2025-3-31 23:08 作者: achlorhydria 時間: 2025-4-1 05:00 作者: 史前 時間: 2025-4-1 08:27 作者: 遺傳 時間: 2025-4-1 13:23
Electro-optic and Magneto-optic Sensors,e discusses the nature and characteristics of various recently developed sensors. In conjunction with fiber optics, there are good prospects for the use of these sensors in the high-voltage area. After calibration of the sensors on site, the voltages or currents that generate the fields can be displ作者: Notify 時間: 2025-4-1 14:19 作者: 名字 時間: 2025-4-1 20:10
Ralf Ewert,Alfred Wagenhofer,Anna Rohlfing-Bastiantoffs durch betriebliche Anwendungen und Beispiele?.Includes.Das Buch erlaubt einen kompakten Einstieg in die Themen E-Business und Cloud Computing. Es vermittelt informatikbezogene und betriebswirtschaftliche Kenntnisse und stellt betriebliche Anwendungen vor. Nach einer Einführung in das Thema E-B作者: yohimbine 時間: 2025-4-2 00:38
Christina Holtz-Bachaie 1839 in Preu?en zum Nachtarbeitsverbot für Kinder führte. Das Jugendarbeitsschutzgesetz von 1976 hat für Kinder und Jugendliche in der gesamten Welt einmalige Schutzvorschriften erlassen. Diese führten aber als Nachteil dazu, da? wegen geringer Verwendungsf?higkeit und Einsatzm?glichkeit viele Be作者: GEM 時間: 2025-4-2 04:51
Book 2001f nominal shocks. In the aftermath of the collapse of financial bubbles in various parts of the world, the accomplishments and limitations of this dominant approach are debated in this volume edited by Axel Leijonhufvud, with contributions by a number of noted monetary economists, including Nobel La
