標(biāo)題: Titlebook: Deep Sequencing Data Analysis; Noam Shomron Book 2021Latest edition Springer Science+Business Media, LLC, part of Springer Nature 2021 ChI [打印本頁(yè)] 作者: 黑暗社會(huì) 時(shí)間: 2025-3-21 19:47
書(shū)目名稱(chēng)Deep Sequencing Data Analysis影響因子(影響力)
書(shū)目名稱(chēng)Deep Sequencing Data Analysis影響因子(影響力)學(xué)科排名
書(shū)目名稱(chēng)Deep Sequencing Data Analysis網(wǎng)絡(luò)公開(kāi)度
書(shū)目名稱(chēng)Deep Sequencing Data Analysis網(wǎng)絡(luò)公開(kāi)度學(xué)科排名
書(shū)目名稱(chēng)Deep Sequencing Data Analysis被引頻次
書(shū)目名稱(chēng)Deep Sequencing Data Analysis被引頻次學(xué)科排名
書(shū)目名稱(chēng)Deep Sequencing Data Analysis年度引用
書(shū)目名稱(chēng)Deep Sequencing Data Analysis年度引用學(xué)科排名
書(shū)目名稱(chēng)Deep Sequencing Data Analysis讀者反饋
書(shū)目名稱(chēng)Deep Sequencing Data Analysis讀者反饋學(xué)科排名
作者: 英寸 時(shí)間: 2025-3-21 20:20
Kate S. Wolfe,Kate Lyons,Carlos Guevara multiregion sequencing and its analysis, including the study design and sampling strategy, current understanding of the tumor evolution model, and a protocol for multiregion sequencing analysis of DNA-sequencing data.作者: 可耕種 時(shí)間: 2025-3-22 01:13
Noam ShomronIncludes cutting-edge methods and protocols.Provides step-by-step detail essential for reproducible results.Contains key notes and implementation advice from the experts作者: 時(shí)代 時(shí)間: 2025-3-22 04:32 作者: 破裂 時(shí)間: 2025-3-22 11:35 作者: MANIA 時(shí)間: 2025-3-22 13:31 作者: MANIA 時(shí)間: 2025-3-22 17:26 作者: 冷淡周邊 時(shí)間: 2025-3-22 23:14
Maria Clarisa R. Sia,Oscar P. Ferrer of whole messenger RNA (mRNA) sequencing data, or the transcriptome (also known as RNA sequencing, or RNA-seq). These include the Genotype Tissue Expression project (GTEx) and The Cancer Genome Atlas (TCGA), among others. Here we cover some of the commonly used datasets, provide an overview on how 作者: MAIM 時(shí)間: 2025-3-23 04:22
Investigating Specialist Discourseearchers have access to databases with millions of genomic samples. Searching and analyzing these large amounts of data require efficient algorithms..Universal hitting sets are sets of words that must be present in any long enough string. Using small universal hitting sets, it is possible to increas作者: freight 時(shí)間: 2025-3-23 06:37
Academic Literacies in Visual Communication much of what is known about a microbiome—a collection of bacteria, fungi, archaea, and viruses inhabiting an environment—-is from the sequencing of DNA from within the constituent community. Here, we provide an introduction to whole-metagenome shotgun sequencing studies, a ubiquitous approach for c作者: Arthritis 時(shí)間: 2025-3-23 11:19
Developing Drug Products in an Aging Societyiants (ASVs) present in a set of samples. This chapter is written from a bioinformatic point of view; therefore, the specific experimental protocols are not detailed, but rather the impact of various experimental decisions on the downstream analysis is described. Emphasis is made on the transition f作者: Overstate 時(shí)間: 2025-3-23 16:27
https://doi.org/10.1007/978-3-319-43099-7model organisms poses unique challenges, due to unavailability of a high-quality genome reference and to relative sparsity of tools for downstream functional analyses. In this chapter, we provide an overview of the analysis steps in RNA-Seq projects of nonmodel organisms, while elaborating on aspect作者: 悶熱 時(shí)間: 2025-3-23 18:51
Comprehensive Geriatric Assessmenttly, many fields have seen the immense potential of deep learning to solve various tasks in ways which outperformed many other traditional methods. Genomic research could be the next frontier to take advantage of deep learning, as it has the perfect combination of vast amounts of data and diverse ta作者: 全面 時(shí)間: 2025-3-24 01:31 作者: Anecdote 時(shí)間: 2025-3-24 05:28
Kate S. Wolfe,Kate Lyons,Carlos Guevarainvasive methods (e.g., amniocentesis). The procedure is based on the presence of fetal DNA within the mother’s plasma cell-free DNA (cfDNA). Today, NIPD is performed for chromosomal abnormalities (e.g., Down syndrome) and some large deletions/duplications. It is also available for point mutations b作者: 掙扎 時(shí)間: 2025-3-24 06:31 作者: organic-matrix 時(shí)間: 2025-3-24 11:01
Carlos Guevara,Kate Lyons,Kate S. Wolfeata. Over the last few years, despite the constant decrease in the price of sequencing, whole-genome sequencing (WGS) of association panels comprising a large number of samples remains cost-prohibitive. Therefore, most GWAS populations are still genotyped using low-coverage genotyping methods result作者: BUDGE 時(shí)間: 2025-3-24 18:17
Kate S. Wolfe,Kate Lyons,Carlos Guevara multiregion sequencing and its analysis, including the study design and sampling strategy, current understanding of the tumor evolution model, and a protocol for multiregion sequencing analysis of DNA-sequencing data.作者: 從容 時(shí)間: 2025-3-24 19:41
Thorsten Kliewe,Tobias Kesting,Thomas Baakenormed by deep learning is genomics. In the past decade, numerous genomics studies have adopted deep learning and its applications range from predicting regulatory elements to cancer classification. Despite its dominating efficacy in these applications, deep learning is not without drawbacks. A promi作者: 瘋狂 時(shí)間: 2025-3-25 03:06 作者: OCTO 時(shí)間: 2025-3-25 04:43 作者: 散步 時(shí)間: 2025-3-25 10:30
Thorsten Kliewe,Tobias Kesting,Thomas Baakenlso known as “noise.” Single-cell RNA sequencing (scRNA-seq) technology has been used to study miRNA and mRNA expression in single cells, and has demonstrated its strength in quantifying cell-to-cell variation. Here we describe how to investigate miRNA regulation using data with both mRNA and miRNA 作者: Omniscient 時(shí)間: 2025-3-25 14:06
Carolin Plewa,Giselle Rampersad,Joanne Hoses, public DNA databases, private direct-to-consumer (DTC) DNA testing companies, and improvements in next-generation sequencing (NGS) have resulted in effective methods for tracking down criminals and exonerating the innocent. While these recently discovered and profound techniques seem to provide作者: ELATE 時(shí)間: 2025-3-25 18:25
https://doi.org/10.1007/978-1-0716-1103-6ChIP-seq; Forensics; Nanopore; Bioinformatics; Ion Torrent作者: debunk 時(shí)間: 2025-3-25 23:12 作者: declamation 時(shí)間: 2025-3-26 01:38 作者: 松軟無(wú)力 時(shí)間: 2025-3-26 06:00 作者: notice 時(shí)間: 2025-3-26 09:29
Maria Clarisa R. Sia,Oscar P. Ferrerression project (GTEx) and The Cancer Genome Atlas (TCGA), among others. Here we cover some of the commonly used datasets, provide an overview on how to begin the analysis pipeline, and how to explore and interpret the data provided by these publicly available resources.作者: Legion 時(shí)間: 2025-3-26 15:56 作者: Jacket 時(shí)間: 2025-3-26 20:27 作者: 無(wú)瑕疵 時(shí)間: 2025-3-26 23:01 作者: 猛擊 時(shí)間: 2025-3-27 01:41 作者: 審問(wèn) 時(shí)間: 2025-3-27 08:36
Carlos Guevara,Kate Lyons,Kate S. Wolferlying imputation of untyped variants, including the architecture of reference panels, and review some of the associated challenges and how these can be addressed. We also discuss the need and available methods to rigorously assess the accuracy of imputed data prior to their use in any genetic study.作者: BALK 時(shí)間: 2025-3-27 10:51
Sarai L?kkegaard,Marianne Lykkeverage, randomization, and batches. Here, we discuss the design of high-throughput experiments, while focusing on RNA-sequencing experiments. We suggest critical rules of thumb, from biological, statistical, and bioinformatics points of view, aimed to obtain a successful experiment, beyond the economic constraints.作者: 獸群 時(shí)間: 2025-3-27 13:54
An Introduction to Whole-Metagenome Shotgun Sequencing Studies, whole-metagenome shotgun sequencing, and approaches fundamental to the solutions of each. We conclude by discussing promising areas for future research. Though our emphasis is on the human microbiome, the methods discussed are broadly applicable across study systems.作者: ciliary-body 時(shí)間: 2025-3-27 20:36
Deep Learning Applied on Next Generation Sequencing Data Analysis, methods, with some caveats. Overall, we believe genomic research is the next frontline for deep learning as there are exciting avenues waiting to be explored. We think that our platform, presented here, could serve as the basis for such future research.作者: GROSS 時(shí)間: 2025-3-27 22:13
Accurate Imputation of Untyped Variants from Deep Sequencing Data,rlying imputation of untyped variants, including the architecture of reference panels, and review some of the associated challenges and how these can be addressed. We also discuss the need and available methods to rigorously assess the accuracy of imputed data prior to their use in any genetic study.作者: LVAD360 時(shí)間: 2025-3-28 05:48 作者: spondylosis 時(shí)間: 2025-3-28 06:49 作者: 喃喃訴苦 時(shí)間: 2025-3-28 12:08
Developing Drug Products in an Aging Societys of common such analytical procedures (including data processing, quality control, peak calling, identifying differentially accessible open chromatin regions, and variable transcription factor (TF) motif accessibility) and discuss recommended optimal practices.作者: AUGER 時(shí)間: 2025-3-28 16:51
Detecting Causal Variants in Mendelian Disorders Using Whole-Genome Sequencing,tect each variant class and describe strategies to increase the likelihood of detecting causal variant(s) in Mendelian disease. Lastly, we describe a sample workflow for synthesizing large amount of genetic information into concise clinical reports.作者: municipality 時(shí)間: 2025-3-28 20:27
Interrogating the Accessible Chromatin Landscape of Eukaryote Genomes Using ATAC-seq,s of common such analytical procedures (including data processing, quality control, peak calling, identifying differentially accessible open chromatin regions, and variable transcription factor (TF) motif accessibility) and discuss recommended optimal practices.作者: Host142 時(shí)間: 2025-3-29 02:15
Book 2021Latest editionncing data field. Chapters guide readers through techniques for processing RNA-seq data, microbiome analysis, deep learning methodologies,?and various approaches for the identification of sequence variants.?Written in the highly successful?.Methods in Molecular Biology?.series format, chapters inclu作者: slipped-disk 時(shí)間: 2025-3-29 03:46 作者: 上腭 時(shí)間: 2025-3-29 11:12
Microbiome Analysis Using 16S Amplicon Sequencing: From Samples to ASVs,re not detailed, but rather the impact of various experimental decisions on the downstream analysis is described. Emphasis is made on the transition from reads to ASVs, describing the Deblur algorithm.作者: 蕁麻 時(shí)間: 2025-3-29 14:06
Investigating Specialist Discoursee the efficiency of many high-throughput sequencing data analyses. But, generating minimum-size universal hitting sets is a hard problem. In this chapter, we cover our algorithmic developments to produce compact universal hitting sets and some of their potential applications.作者: depreciate 時(shí)間: 2025-3-29 17:55
Lina Landinez,Thorsten Kliewe,Habtamu Diribaent challenges of single-cell data analysis and the computational methods used to overcome them. We cover current and future applications of scRNAseq in research of cellular dynamics and as an integrative component of biological research.作者: scoliosis 時(shí)間: 2025-3-29 23:29 作者: Ovulation 時(shí)間: 2025-3-30 00:45 作者: Affectation 時(shí)間: 2025-3-30 06:13
Improved Analysis of High-Throughput Sequencing Data Using Small Universal ,-Mer Hitting Sets,e the efficiency of many high-throughput sequencing data analyses. But, generating minimum-size universal hitting sets is a hard problem. In this chapter, we cover our algorithmic developments to produce compact universal hitting sets and some of their potential applications.作者: 嚙齒動(dòng)物 時(shí)間: 2025-3-30 10:53 作者: 單挑 時(shí)間: 2025-3-30 14:06 作者: elucidate 時(shí)間: 2025-3-30 16:53 作者: 低能兒 時(shí)間: 2025-3-30 21:36
1064-3745 cible laboratory protocols, and tips on troubleshooting and avoiding known pitfalls...?Authoritative and cutting-edge,?.Deep Sequencing Data Analysis: Methods and Protocols, Second Edition?.aims to ensure successful results in the further study of this vital field..978-1-0716-1105-0978-1-0716-1103-6Series ISSN 1064-3745 Series E-ISSN 1940-6029 作者: 表否定 時(shí)間: 2025-3-31 03:45 作者: 背信 時(shí)間: 2025-3-31 07:22
Joseph J. Capuno,Maria Melody S. Garciaexible python-based toolkit for NBC that enables easy and accessible network construction and community detection. We then tested the applicability of NBC for identifying clusters of cells or genes from previously published large-scale single-cell and bulk RNA-seq datasets..We show that NBC can be u作者: 混合 時(shí)間: 2025-3-31 12:29
https://doi.org/10.1007/978-3-319-43099-7o transcriptome assembly that will be comprehensive and reliable; (6) how to assess transcriptome quality; (7) when and how to reduce redundancy in the transcriptome; (8) techniques and considerations in transcriptome functional annotation; (9) quantitating transcript abundance in the face of high t作者: 血友病 時(shí)間: 2025-3-31 14:38 作者: 切割 時(shí)間: 2025-3-31 19:38 作者: 有幫助 時(shí)間: 2025-3-31 23:12 作者: agglomerate 時(shí)間: 2025-4-1 04:43
Statistical Considerations on NGS Data for Inferring Copy Number Variations,t the loci of CNVs can be accurately detected. In this book chapter, a summary of most popularly used statistical methods for detecting CNVs using NGS data is given. The goal is to provide readers with a comprehensive resource of available statistical approaches for inferring DNA copy number variati作者: 不給啤 時(shí)間: 2025-4-1 06:09 作者: Chagrin 時(shí)間: 2025-4-1 12:23
RNA-Seq in Nonmodel Organisms,o transcriptome assembly that will be comprehensive and reliable; (6) how to assess transcriptome quality; (7) when and how to reduce redundancy in the transcriptome; (8) techniques and considerations in transcriptome functional annotation; (9) quantitating transcript abundance in the face of high t作者: 群居男女 時(shí)間: 2025-4-1 15:36
Genome-Wide Noninvasive Prenatal Diagnosis of SNPs and Indels,is analysis. Genome-wide analysis of point mutations in the fetus is not widely studied, albeit much space for algorithmic improvements exists. Here we suggest practical solutions for challenges along the process. Our work assists bioinformaticians in accessing NIPD data analysis and can eventually 作者: ACRID 時(shí)間: 2025-4-1 22:08 作者: 確定 時(shí)間: 2025-4-1 23:51
Overcoming Interpretability in Deep Learning Cancer Classification,on Grad-CAM scoring methodology, as well as, validate the use this methodology for the chosen model. Consequently, this allows for the utilization of the Grad-CAM scoring methodology for feature importance in deep learning cancer classification. The results from our study identify potential novel ca
