Characterization and improvement of RNA-Seq precision in quantitative transcript expression profiling.
about
Systems immunology of human malariaPractical guidelines for the comprehensive analysis of ChIP-seq dataOverview of high throughput sequencing technologies to elucidate molecular pathways in cardiovascular diseasesIntroduction to sequencing the brain transcriptomeLiver transcriptomic networks reveal main biological processes associated with feed efficiency in beef cattle.A survey of best practices for RNA-seq data analysisIdentification of co-expression gene networks, regulatory genes and pathways for obesity based on adipose tissue RNA Sequencing in a porcine modelRNA-seq characterization of spinal cord injury transcriptome in acute/subacute phases: a resource for understanding the pathology at the systems levelGene Expression Analysis of Plum pox virus (Sharka) Susceptibility/Resistance in Apricot (Prunus armeniaca L.)An optimized protocol for generation and analysis of Ion Proton sequencing reads for RNA-SeqRNA-sequencing from single nuclei.Identification of optimum sequencing depth especially for de novo genome assembly of small genomes using next generation sequencing data.Data-based filtering for replicated high-throughput transcriptome sequencing experiments.Identification of significant features in DNA microarray data.Detecting and correcting systematic variation in large-scale RNA sequencing dataThe concordance between RNA-seq and microarray data depends on chemical treatment and transcript abundanceRNA-seq Data: Challenges in and Recommendations for Experimental Design and Analysis.Co-expression analysis of high-throughput transcriptome sequencing data with Poisson mixture models.Data quality aware analysis of differential expression in RNA-seq with NOISeq R/Bioc packageGene co-expression network analysis identifies porcine genes associated with variation in metabolizing fenbendazole and flunixin meglumine in the liver.Next-generation sequencing and microarray-based interrogation of microRNAs from formalin-fixed, paraffin-embedded tissue: preliminary assessment of cross-platform concordance.cn.MOPS: mixture of Poissons for discovering copy number variations in next-generation sequencing data with a low false discovery rateMulti-platform assessment of transcriptome profiling using RNA-seq in the ABRF next-generation sequencing study.Identifying differentially expressed transcripts from RNA-seq data with biological variation.DEXUS: identifying differential expression in RNA-Seq studies with unknown conditionsEfficient experimental design and analysis strategies for the detection of differential expression using RNA-SequencingA comprehensive assessment of RNA-seq accuracy, reproducibility and information content by the Sequencing Quality Control Consortium.Oculus: faster sequence alignment by streaming read compressionRNA-seq and microarray complement each other in transcriptome profiling.puma 3.0: improved uncertainty propagation methods for gene and transcript expression analysis.Quantitative transcriptomics using designed primer-based amplificationEvaluating the impact of sequencing depth on transcriptome profiling in human adiposeFinding the active genes in deep RNA-seq gene expression studies.Cross-platform ultradeep transcriptomic profiling of human reference RNA samples by RNA-Seq.Review on porcine endogenous retrovirus detection assays--impact on quality and safety of xenotransplantsDeep sequencing of cardiac microRNA-mRNA interactomes in clinical and experimental cardiomyopathy.Identification of low Ca(2+) stress-induced embryo apoptosis response genes in Arachis hypogaea by SSH-associated library lift (SSHaLL).A nested parallel experiment demonstrates differences in intensity-dependence between RNA-seq and microarrays.A transcriptome approach towards understanding the development of ripening capacity in 'Bartlett' pears (Pyrus communis L.).RNA-Seq and find: entering the RNA deep field.
P2860
Q21032488-9EFB2837-1D53-4594-841E-F0043B39757BQ21563477-63C8AAAD-B91F-4FDE-AC0B-11BB0B0D2490Q26859589-2C3D2714-A5C1-406F-936E-8332CAFBE636Q27023717-9C936B55-3F2E-4E36-8CFE-0338C42A3CBDQ27316949-D868593C-1759-4356-B6EE-3B7D7ED13F4EQ28071394-04375896-3E08-4E20-A1C8-1EDE940D4700Q28248944-DAED0F41-9923-4033-B6F7-202651B4ADA5Q28535228-86F3C68D-ECF0-4B9F-AA76-2D0E47FE90E9Q28551600-CEF3898D-A87A-4335-9175-37CAFD23BBE3Q28833416-64CFB379-23E8-422A-9904-44EA48FF994BQ30412651-B45A73E1-CE14-4A55-995A-9CEB8E243943Q30617713-2F739BFD-CD9F-4518-A29B-D99F38294EDEQ30652856-BB52578A-0297-4590-AA11-2D170218199DQ30697080-573BE121-8952-4AAB-B754-BD37E8BD0A32Q30844399-7952F7F7-9583-4859-A89D-7F4FB6CD402DQ30844402-61616517-E4B6-4CF5-A972-85A6C960025CQ30856802-E6451B13-57C2-4907-B91E-634BE4B4009AQ30882929-A2B41528-A4CC-4311-8670-9787CD97742AQ30981058-E4DE6E1C-4CDD-46A3-83CF-7B51F67913A5Q33683604-20454820-1672-43A4-B7CF-2974287092E2Q33977915-0716C1CF-FAE5-4E11-B582-59B1C1DD5A7DQ34030518-88FA30D2-D9B4-41E7-94D9-D6D5C9727895Q34204436-789EE558-6954-431F-9359-FE9D0D2D173AQ34259456-35AD8A22-5523-46FD-8F0A-70795BFAFF7CQ34372165-C1D21EA8-C17D-48EF-B6B0-78163CD1B51AQ34416621-0DB5CFCD-6F6A-4A22-A5B3-363ED7D09B40Q34434721-656C9DAC-F7A3-440B-BDA3-B27BD37CCE5EQ34475507-A7957035-3964-4082-A3B8-9DC5CDFFB7EFQ34478275-E3A5E422-5155-4B83-A99C-A8D3D2BCCAB5Q34573778-6856ADF4-A176-49C2-B00E-486CC711F396Q34691774-B9997EA6-89DF-48A5-9E72-DB964414E871Q34796197-6F30F96F-D18E-4FEC-911F-F3B0383B01EAQ35038301-CC8044FC-D641-49F1-B2A6-15E2F082F230Q35066523-8AF5F02A-11F0-4A06-9A7F-DF3D04F6A68FQ35549415-3A63CAC9-1339-426C-A4CB-4B531A14D9CEQ35593966-CAE0FD46-F974-4B54-AC33-AC848BF02C5EQ35664837-54195E65-A974-4FB9-89A0-AC2F06DE1C02Q35679367-9DA5E9A3-6CCB-432F-86A4-CBE3E79B4248Q35801969-CA0BF58F-FF72-4AC1-8BD1-B54773287394Q35840638-9B94AC82-E256-4FF7-BA6F-C2B1953D1685
P2860
Characterization and improvement of RNA-Seq precision in quantitative transcript expression profiling.
description
2011 nî lūn-bûn
@nan
2011 թուականի Յուլիսին հրատարակուած գիտական յօդուած
@hyw
2011 թվականի հուլիսին հրատարակված գիտական հոդված
@hy
2011年の論文
@ja
2011年論文
@yue
2011年論文
@zh-hant
2011年論文
@zh-hk
2011年論文
@zh-mo
2011年論文
@zh-tw
2011年论文
@wuu
name
Characterization and improveme ...... anscript expression profiling.
@ast
Characterization and improveme ...... anscript expression profiling.
@en
type
label
Characterization and improveme ...... anscript expression profiling.
@ast
Characterization and improveme ...... anscript expression profiling.
@en
prefLabel
Characterization and improveme ...... anscript expression profiling.
@ast
Characterization and improveme ...... anscript expression profiling.
@en
P2093
P2860
P50
P356
P1433
P1476
Characterization and improveme ...... ranscript expression profiling
@en
P2093
Bryan E Linggi
Germán G Leparc
Lye Meng Markillie
P2860
P304
P356
10.1093/BIOINFORMATICS/BTR247
P407
P577
2011-07-01T00:00:00Z