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04373aam a2200421 i 4500 001 849308AE840911E89478B85797128E48 003 SILO 005 20180710010618 008 171204t20182018nyua b 001 0deng d 010 $a 2018933577 020 $a 1493977091 020 $a 9781493977093 035 $a (OCoLC)1013721659 040 $a YDX $b eng $c YDX $d OCLCO $d NUI $d SILO 245 00 $a Transcriptome data analysis : $b methods and protocols / $c edited by Yejun Wang, Ming-an Sun. 264 1 $a New York : $b Humana Press ; $c [2018] 300 $a x, 238 pages : $b illustrations (some color) ; $c 26 cm. 490 1 $a Springer Protocols, $x 1949-2448 490 1 $a Methods in molecular biology, $x 1064-7345 ; $v volume 1751 504 $a Includes bibliographical references and index. 505 00 $t Mathematical modeling and deconvolution of molecular heterogeneity identifies novel subpopulations in complex tissues / $r Niya Wang, Lulu Chen, and Yue Wang. $t Microarray data analysis for transcriptome profiling / $r Ming-an Sun, Xiaojian Shao, and Yejun Wang -- $t Pathway and network analysis of differentially expressed genes in transcriptomes / $r Qianli Huang, Ming-an Sun, and Ping Yan -- $t QuickRNASeq : guide for pipeline implementation and for interactive results visualization / $r Wen He, Shanrong Zhao, Chi Zhang, Michael S. Vincent, and Baohong Zhang -- $t Tracking alternatively spliced isoforms from long reads by SpliceHunter / $r Zheng Kuang and Stefan Canzar -- $t RNA-seq-based transcript structure analysis with TrBorderExt / $r Yejun Wang, Ming-an Sun, and Aaron P. White -- $t Analysis of RNA editing sites from RNA-seq data using GIREMI / $r Qing Zhang -- $t Bioinformatic analysis of MicroRNA sequencing data / $r Xiaonan Fu and Daoyuan Dong -- $t Microarray-based MicroRNA expression data analysis with bioconductor / $r Emilio Mastriani, Rihong Zhai, and Songling Zhu -- $t Identification and expression analysis of long intergenic noncoding RNAs / $r Ming-an Sun, Rihong Zhai, Qing Zhang, and Yejun Wang -- $t Analysis of RNA-seq data using TEtranscripts / $r Ying Jin and Molly Hammell -- $t Computational analysis of RNA-protein interactions via deep sequencing / $r Lei Li, Konrad U. Forstner, and Yanjie Chao -- $t Predicting gene expression noise from gene expression variations / $r Xiaojian Shao and Ming-an Sun -- $t Protocol for epigenetic imprinting analysis with RNA-Seq data / $r Jinfeng Zou, Daoquan Xiang, Raju Datla, and Edwin Wang -- $t Single-cell transcriptome analysis using SINCERA pipeline / $r Minzhe Guo and Yan Xu -- $t Mathematical modeling and deconvolution of molecular heterogeneity identifies novel subpopulations in complex tissues / $r Niya Wang, Lulu Chen, and Yue Wang. 520 $a This detailed volume provides comprehensive practical guidance on transcriptome data analysis for a variety of scientific purposes. Beginning with general protocols, the collection moves on to explore protocols for gene characterization analysis with RNA-seq data as well as protocols on several new applications of transcriptome studies. Written for the highly successful Methods in Molecular Biology series, chapters include introductions to their respective topics, lists of the necessary materials and reagents, step-by-step, readily reproducible laboratory protocols, and tips on troubleshooting and avoiding known pitfalls. Authoritative and useful, Transcriptome Data Analysis: Methods and Protocols serves as an ideal guide to the expanding purposes of this field of study. 650 0 $a Genetic transcription $v Laboratory manuals. 650 2 $a Gene Expression Profiling. $0 (DNLM)D020869 650 2 $a Transcriptome. $0 (DNLM)D059467 650 2 $a Transcription, Genetic. $0 (DNLM)D014158 650 2 $a Sequence Analysis, RNA. $0 (DNLM)D017423 655 7 $a Laboratory manuals. $2 lcgft 655 2 $a Laboratory Manuals. $0 (DNLM)D020484 700 1 $a Wang, Yejun, $e editor. 700 1 $a Sun, Ming-an, $e editor. 776 08 $i Electronic version: $t Transcriptome data analysis. $d New York, NY : Humana Press ; Springer, [2018] $z 9781493977109 $w (OCoLC)1027481035 773 18 $w 990001282000202771 $g no:1751 830 0 $a Springer protocols (Series), $x 1949-2448 830 0 $a Methods in molecular biology (Clifton, N.J.) ; $v v. 1751, $x 1064-3745 941 $a 1 952 $l OVUX522 $d 20190212023854.0 956 $a http://locator.silo.lib.ia.us/search.cgi?index_0=id&term_0=849308AE840911E89478B85797128E48Initiate Another SILO Locator Search