Errors in RNA-Seq quantification affect genes of relevance to human disease.
about
Assembly, Assessment, and Availability of De novo Generated Eukaryotic TranscriptomesIdentifying network-based biomarkers of complex diseases from high-throughput data.Inter- and intra-species variation in genome-wide gene expression of Drosophila in response to parasitoid wasp attackIntegration of quantitated expression estimates from polyA-selected and rRNA-depleted RNA-seq librariesRNAontheBENCH: computational and empirical resources for benchmarking RNAseq quantification and differential expression methodsEmpirical assessment of analysis workflows for differential expression analysis of human samples using RNA-SeqA fuzzy method for RNA-Seq differential expression analysis in presence of multireadsBenchmarking of RNA-sequencing analysis workflows using whole-transcriptome RT-qPCR expression data.A Combined Comparative Transcriptomic, Metabolomic, and Anatomical Analyses of Two Key Domestication Traits: Pod Dehiscence and Seed Dormancy in Pea (Pisum sp.).Transcript-level expression analysis of RNA-seq experiments with HISAT, StringTie and Ballgown.ROCK signalling induced gene expression changes in mouse pancreatic ductal adenocarcinoma cells.The incredible complexity of RNA splicing.Arabidopsis late blight: infection of a nonhost plant by Albugo laibachii enables full colonization by Phytophthora infestans.Comprehensive landscape of subtype-specific coding and non-coding RNA transcripts in breast cancer.Systematic Selection of Reference Genes for the Normalization of Circulating RNA Transcripts in Pregnant Women Based on RNA-Seq Data.The evolution of duplicate gene expression in mammalian organs.ReadXplorer 2-detailed read mapping analysis and visualization from one single source.Differential analyses for RNA-seq: transcript-level estimates improve gene-level inferences.Intracellular spectral recompositioning of light enhances algal photosynthetic efficiencymmquant: how to count multi-mapping reads?A high resolution atlas of gene expression in the domestic sheep (Ovis aries).Transcriptomic profiling of human breast and melanoma cells selected by migration through narrow constraints.Monitoring transcription initiation activities in rat and dog.Single-cell RNA-sequencing uncovers transcriptional states and fate decisions in haematopoiesis.Differential gene expression according to race and host plant in the pea aphid.Sex-biased microRNA expression in mammals and birds reveals underlying regulatory mechanisms and a role in dosage compensation.Global Transcriptomic Changes Induced by Infection of Cucumber (Cucumis sativus L.) with Mild and Severe Variants of Hop Stunt Viroid.Limitations of alignment-free tools in total RNA-seq quantificationApparent bias toward long gene misregulation in MeCP2 syndromes disappears after controlling for baseline variationsAcross-Experiment Transcriptomics of Sheep Rumen Identifies Expression of Lipid/Oxo-Acid Metabolism and Muscle Cell Junction Genes Associated With Variation in Methane-Related Phenotypes
P2860
Q26770359-8DB9D9F0-2B8C-43DC-95F6-C91CE0100ADAQ31038202-911C7081-9EB0-4812-AEC5-90DE92A83D23Q33608816-F3AC8C8F-BBC8-41ED-B85F-AA87283D9C4EQ33795797-E1B7BD79-A4F8-40D1-A721-2836B77AD42CQ36020652-37CABD89-E498-4DA8-9780-DBE6191FD627Q36251645-3E6EF8EA-675A-4434-B3E5-62D37D7320C6Q36276507-3E294D6E-2402-490C-82C7-B788CF273F14Q36366504-D755C262-23B1-4856-BE7B-87EDB9CFEDF3Q36367470-414275BE-2862-4C10-AD00-BB16859A42A8Q37275276-D682A053-86BD-4AA4-9142-CA2ACA5DDE45Q37401278-0363AE96-9454-4219-A5FE-476BDB0FC68DQ37547135-22814692-9536-46EC-9A4C-49A8D28881EEQ37561597-11B90BF9-722B-42EE-AB9C-19A6D7E2EFF1Q37708863-A2892683-61EA-4352-BD20-B0CD97060587Q38641003-576CF236-2302-44E6-AFE0-51DD4ED75620Q38661582-8AD93ADB-8186-465A-88D3-188A23853FC2Q39331856-C72024DA-E10F-4309-A68D-D4A57CDFB9EAQ39961016-A2963671-57C0-4FEA-BB04-44F7809F70AFQ41591763-A02B869C-7F96-4237-AE3D-54D71DDDDCDCQ41711631-04E78C4F-34E6-4CF9-B948-44DFE9C8BEF8Q42369661-8982A4A9-81A3-43B8-AD40-6695B86E8763Q44534878-467022FC-70F3-422E-98A5-D3033C236894Q46252848-51AB7DA9-FE5A-4B56-A200-5EF6E19698B6Q46306077-AC35904F-3C86-46AB-A6B9-FEACB4B8FA50Q46508479-29888236-E9BB-434B-A1CF-015C8EBBC371Q47592668-4F2C90E3-5620-4637-8E54-0B0B4CB89307Q49282210-322D7667-DA39-4208-9072-034CC9078D5DQ56395656-19F0E7D0-CE47-4809-AB5B-24330A5CDAE2Q56894959-26EFD98D-F143-4CF5-BFB1-60C709508705Q57071119-7312D0E2-2695-4236-9F9A-56F9C9D781D8
P2860
Errors in RNA-Seq quantification affect genes of relevance to human disease.
description
2015 nî lūn-bûn
@nan
2015年の論文
@ja
2015年論文
@yue
2015年論文
@zh-hant
2015年論文
@zh-hk
2015年論文
@zh-mo
2015年論文
@zh-tw
2015年论文
@wuu
2015年论文
@zh
2015年论文
@zh-cn
name
Errors in RNA-Seq quantification affect genes of relevance to human disease.
@ast
Errors in RNA-Seq quantification affect genes of relevance to human disease.
@en
type
label
Errors in RNA-Seq quantification affect genes of relevance to human disease.
@ast
Errors in RNA-Seq quantification affect genes of relevance to human disease.
@en
prefLabel
Errors in RNA-Seq quantification affect genes of relevance to human disease.
@ast
Errors in RNA-Seq quantification affect genes of relevance to human disease.
@en
P2860
P1433
P1476
Errors in RNA-Seq quantification affect genes of relevance to human disease.
@en
P2093
Christelle Robert
P2860
P2888
P356
10.1186/S13059-015-0734-X
P50
P577
2015-09-03T00:00:00Z
P5875
P6179
1025237425