Dynamics in Transcriptomics: Advancements in RNA-seq Time Course and Downstream Analysis
about
EPIG-Seq: extracting patterns and identifying co-expressed genes from RNA-Seq data.Studying Oogenesis in a Non-model Organism Using Transcriptomics: Assembling, Annotating, and Analyzing Your Data.Influence maximization in time bounded network identifies transcription factors regulating perturbed pathwaysDe Novo Transcriptome Assembly and Annotation of the Leaves and Callus of Cyclocarya Paliurus (Bata1) Iljinskaja.Genomic Methods Take the Plunge: Recent Advances in High-Throughput Sequencing of Marine Mammals.Dynamic modeling and network approaches for omics time course data: overview of computational approaches and applications.Post-transcriptional modulation of protein phosphatase PPP2CA and tumor suppressor PTEN by endogenous siRNA cleaved from hairpin within PTEN mRNA 3'UTR in human liver cells.DynOmics to identify delays and co-expression patterns across time course experiments.Human Induced Pluripotent Stem Cells as a Platform for Personalized and Precision Cardiovascular Medicine.Transcriptome profiling of aging Drosophila photoreceptors reveals gene expression trends that correlate with visual senescence.Developing a 'personalome' for precision medicine: emerging methods that compute interpretable effect sizes from single-subject transcriptomes.Comparative analysis of differential gene expression tools for RNA sequencing time course data.Optimization of an RNA-Seq Differential Gene Expression Analysis Depending on Biological Replicate Number and Library Size.Insight into Genes Regulating Post-harvest Aflatoxin Contamination of Tetraploid Peanut from Transcriptional Profiling.A threshold model for receptor tyrosine kinase signaling specificity and cell fate determination.Trendy: segmented regression analysis of expression dynamics in high-throughput ordered profiling experiments
P2860
Q31061755-E17C0FE4-95CB-4639-A79D-1AC755FF178FQ31123414-CCE225FE-7DA0-4AB5-8D05-A2F582780534Q36053751-F7D304D2-2D11-40E7-8FE6-5A8008098A59Q36092403-18FF101B-6D77-4716-883F-D34A35168AC3Q36100788-8E1D3D5C-33E3-431B-A56B-DB498C323ECCQ36353583-81B2FE72-B735-4E6F-B7D4-2D0A54CB795CQ37067204-7BA112F6-5C4B-4344-AE8B-C58A7737E1A1Q37571186-814A347A-CD82-47BA-AF7E-650999559420Q38874111-19B95DC0-AFAC-4588-A021-5F7099CC67AFQ47111001-B0060864-E234-4F90-8C66-401F6360290EQ47258988-C5F59B32-CF38-4256-A439-6CCFEE420DA3Q47651490-69732D2B-BBA9-4680-B79A-F2D61B70C129Q50319809-D8E8C219-DFE2-4D3D-A9AF-8BE127FEE1B3Q52353838-81CDFCD8-2A8E-4E29-835D-31773BE8EE52Q55440500-9BBF46A8-23F3-4B4C-BDD4-771D03F1392BQ57455889-494C5760-4217-44E9-BD98-C56013D4B7AD
P2860
Dynamics in Transcriptomics: Advancements in RNA-seq Time Course and Downstream Analysis
description
2015 nî lūn-bûn
@nan
2015 թուականին հրատարակուած գիտական յօդուած
@hyw
2015 թվականին հրատարակված գիտական հոդված
@hy
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
name
Dynamics in Transcriptomics: Advancements in RNA-seq Time Course and Downstream Analysis
@ast
Dynamics in Transcriptomics: Advancements in RNA-seq Time Course and Downstream Analysis
@en
Dynamics in Transcriptomics: Advancements in RNA-seq Time Course and Downstream Analysis
@nl
type
label
Dynamics in Transcriptomics: Advancements in RNA-seq Time Course and Downstream Analysis
@ast
Dynamics in Transcriptomics: Advancements in RNA-seq Time Course and Downstream Analysis
@en
Dynamics in Transcriptomics: Advancements in RNA-seq Time Course and Downstream Analysis
@nl
prefLabel
Dynamics in Transcriptomics: Advancements in RNA-seq Time Course and Downstream Analysis
@ast
Dynamics in Transcriptomics: Advancements in RNA-seq Time Course and Downstream Analysis
@en
Dynamics in Transcriptomics: Advancements in RNA-seq Time Course and Downstream Analysis
@nl
P2860
P921
P3181
P1476
Dynamics in Transcriptomics: Advancements in RNA-seq Time Course and Downstream Analysis
@en
P2860
P304
P3181
P356
10.1016/J.CSBJ.2015.08.004
P407
P577
2015-01-01T00:00:00Z