RNA-seq: an assessment of technical reproducibility and comparison with gene expression arrays
about
Transcript length bias in RNA-seq data confounds systems biologyGlobal analysis of the small RNA transcriptome in different ploidies and genomic combinations of a vertebrate complex--the Squalius alburnoidesIsoform diversity and regulation in peripheral and central neurons revealed through RNA-SeqA systematically improved high quality genome and transcriptome of the human blood fluke Schistosoma mansoniUltrafast and memory-efficient alignment of short DNA sequences to the human genomeDifferential expression analysis for sequence count dataMicroarrays, deep sequencing and the true measure of the transcriptomeComparison of next-generation sequencing systemsAutomated workflow for preparation of cDNA for cap analysis of gene expression on a single molecule sequencerWhole transcriptome sequencing reveals gene expression and splicing differences in brain regions affected by Alzheimer's diseaseTumor transcriptome sequencing reveals allelic expression imbalances associated with copy number alterationsInterspecific profiling of gene expression informed by comparative genomic hybridization: A review and a novel approach in African cichlid fishesComparative studies of gene expression and the evolution of gene regulationThe landscape of long noncoding RNAs in the human transcriptomeNeuroscience in the era of functional genomics and systems biologyRNA-Seq: a revolutionary tool for transcriptomicsNext-generation sequencing in aging research: emerging applications, problems, pitfalls and possible solutionsCharacterizing the impact of smoking and lung cancer on the airway transcriptome using RNA-SeqIntegrative analysis of the melanoma transcriptomeFrom RNA-seq reads to differential expression resultsRNA-seq analyses of blood-induced changes in gene expression in the mosquito vector species, Aedes aegyptiDBTSS: DataBase of Transcriptional Start Sites progress report in 2012Biases in Illumina transcriptome sequencing caused by random hexamer primingTranscript assembly and quantification by RNA-Seq reveals unannotated transcripts and isoform switching during cell differentiationA scaling normalization method for differential expression analysis of RNA-seq dataRNA sequencing reveals the role of splicing polymorphisms in regulating human gene expressionDifferential gene and transcript expression analysis of RNA-seq experiments with TopHat and CufflinksPerM: efficient mapping of short sequencing reads with periodic full sensitive spaced seedsAnnotating genomes with massive-scale RNA sequencingTopHat: discovering splice junctions with RNA-SeqAberrantly expressed microRNAs in the context of bladder tumorigenesisNext generation sequencing technology and genomewide data analysis: Perspectives for retinal researchComprehensive Assessments of RNA-seq by the SEQC Consortium: FDA-Led Efforts Advance Precision MedicineAnalysis of Whole Transcriptome Sequencing Data: Workflow and SoftwareNext Generation Sequencing Technologies: The Doorway to the Unexplored Genomics of Non-Model PlantsDifferential Expression Analysis for RNA-Seq: An Overview of Statistical Methods and Computational SoftwareMECHANISMS IN ENDOCRINOLOGY: Alternative splicing: the new frontier in diabetes researchThe application of omics technologies in the functional evaluation of inulin and inulin-containing prebiotics dietary supplementationCracking the Code of Human Diseases Using Next-Generation Sequencing: Applications, Challenges, and PerspectivesMethods for biological data integration: perspectives and challenges
P2860
Q21093194-FA51EF21-044B-472A-BE7A-516574BAB3CEQ21134137-F428521D-EAA1-4E7F-944A-F4FEDBBF4D3DQ21134805-94FA9738-BB41-4306-A786-761C769615A6Q21144505-251E0BE3-56CA-4643-A7B9-C88E0F0F73A9Q21183894-51FFA424-D9A4-4756-9C62-3DD5D1C9E71CQ21184103-91CCBB80-66D1-4EEB-876E-DCD0880EC903Q21245309-7553C63D-D445-4B3E-8034-31451539993CQ21296690-1607CA6D-10CC-4257-9B35-6436F8D973A1Q21560874-43BC0550-7E20-4878-A90B-9227272F389BQ21562116-87B403BA-BA51-4A37-B111-6B6945526F23Q21562666-6745BFA8-C0CD-430D-B571-80E17B3EC98FQ22066035-DF73E0C8-CC14-4E3F-8BF1-DA8324918CB0Q22122000-0645F22F-B632-4315-B805-A19AEF40AB67Q22122065-E580D21A-C295-4E97-940A-C8BF5ED326B6Q22337243-8FECB7E9-175A-4DDD-8FE2-4A7D5AF46C57Q24596169-D647955B-9D5F-443D-A41E-5755AEAFEAFDQ24602951-B120AFE7-75BF-4F05-A2F6-99C29EEA4DE9Q24607638-6009E8D8-A297-40F8-9F6A-8E85ACBF3CBFQ24608060-79E10978-C03D-435E-B84B-2AB326B04138Q24612983-54C5E482-4DC4-40C2-8853-30A22E5B4129Q24617913-C0B1B351-807B-4D1C-BBA8-EC4F4002FCA1Q24619908-2E9D0E39-CA87-4545-8C8A-0B75DF547370Q24620975-1A9675BF-8EF1-4E7D-BB38-8B528F15FDD9Q24627354-D0D50395-881F-4CF3-948B-820229675360Q24628783-DF6A6E38-50CB-4D96-AE82-3B25ABCF545DQ24630966-77745376-346D-4145-A33E-35EBFD1E7EE4Q24633890-9C8AF774-FE04-4F49-8F1C-1549FEB155DEQ24646430-BC9D2DDA-107D-49E5-940A-C91BB467F049Q24649726-24B712DA-5FF4-43A3-8B73-FAAC4B1D16C4Q24655505-E8EF246F-CDD1-4F4C-B7F8-260B77CF6191Q26744152-939DF79B-E488-438F-B4F9-A3E0AB707A98Q26746206-8039251E-17A0-4627-ACD6-1A185BF2D9F2Q26752996-04A0EE85-CD7A-4722-8170-24ECBD5C48AAQ26766664-A7D55B56-84F5-414E-B91B-C6E41097799CQ26770658-A0A6B50A-EEBA-4DF7-9266-808DA630D097Q26774631-351CF158-55B0-41CB-B4A6-418144F949EBQ26775510-7FE4D211-8979-4365-836C-3D2BD96AAA37Q26775964-9555DD42-3072-40AF-A771-37850E986790Q26776038-F26238D2-943E-4BBC-8C2B-D571A58871D3Q26778582-AF5FA721-B292-4C46-A2DD-81D949C74AFB
P2860
RNA-seq: an assessment of technical reproducibility and comparison with gene expression arrays
description
2008 nî lūn-bûn
@nan
2008 թուականի Սեպտեմբերին հրատարակուած գիտական յօդուած
@hyw
2008 թվականի սեպտեմբերին հրատարակված գիտական հոդված
@hy
2008年の論文
@ja
2008年論文
@yue
2008年論文
@zh-hant
2008年論文
@zh-hk
2008年論文
@zh-mo
2008年論文
@zh-tw
2008年论文
@wuu
name
RNA-seq: an assessment of tech ...... on with gene expression arrays
@ast
RNA-seq: an assessment of tech ...... on with gene expression arrays
@en
RNA-seq: an assessment of tech ...... on with gene expression arrays
@nl
type
label
RNA-seq: an assessment of tech ...... on with gene expression arrays
@ast
RNA-seq: an assessment of tech ...... on with gene expression arrays
@en
RNA-seq: an assessment of tech ...... on with gene expression arrays
@nl
prefLabel
RNA-seq: an assessment of tech ...... on with gene expression arrays
@ast
RNA-seq: an assessment of tech ...... on with gene expression arrays
@en
RNA-seq: an assessment of tech ...... on with gene expression arrays
@nl
P2093
P2860
P3181
P356
P1433
P1476
RNA-seq: an assessment of tech ...... on with gene expression arrays
@en
P2093
Christopher E Mason
Matthew Stephens
Shrikant M Mane
P2860
P304
P3181
P356
10.1101/GR.079558.108
P407
P577
2008-09-01T00:00:00Z