about
Current challenges in the bioinformatics of single cell genomics.Quartz-Seq: a highly reproducible and sensitive single-cell RNA sequencing method, reveals non-genetic gene-expression heterogeneityTumor transcriptome sequencing reveals allelic expression imbalances associated with copy number alterationsSingle cell genomics: advances and future perspectivesCharacterization of the single-cell transcriptional landscape by highly multiplex RNA-seqOptimization of de novo transcriptome assembly from next-generation sequencing dataHigh-throughput microfluidic single-cell RT-qPCRFrom RNA-seq reads to differential expression resultsUsing gene expression noise to understand gene regulationConstruction of normalized RNA-seq libraries for next-generation sequencing using the crab duplex-specific nucleaseQuantitative biology of single neuronsFull-length mRNA-Seq from single-cell levels of RNA and individual circulating tumor cells.Comprehensive qPCR profiling of gene expression in single neuronal cellsSingle-Cell Sequencing Technology in Oncology: Applications for Clinical Therapies and ResearchRNA-Seq methods for transcriptome analysis4D nucleomes in single cells: what can computational modeling reveal about spatial chromatin conformation?Transcriptomics resources of human tissues and organsSingle-cell sequencing in stem cell biologySingle-cell transcriptome sequencing: recent advances and remaining challengesSingle-cell analysis tools for drug discovery and developmentSingle-cell technologies are revolutionizing the approach to rare cellsSingle-cell technologies to study the immune systemSingle-cell analyses of circulating tumor cellsDefining cell types and states with single-cell genomicsHigh-throughput sequencing for biology and medicineClonal origins of neocortical interneuronsRNA-Seq technology and its application in fish transcriptomicsGenomic analysis at the single-cell levelTolerance to ischemia - an increasingly complex biologyUsing variability in gene expression as a tool for studying gene regulationLibrary construction for next-generation sequencing: overviews and challenges.All's well that ends well: alternative polyadenylation and its implications for stem cell biologyMicrobial diversity in the era of omic technologiesPreparation of Single-Cell RNA-Seq Libraries for Next Generation SequencingLaser capture microdissection: Big data from small samplesAdvances and applications of single-cell sequencing technologiesThe role of single-cell analyses in understanding cell lineage commitmentA unified model for left-right asymmetry? Comparison and synthesis of molecular models of embryonic lateralityMetabolite analyses of single cellsInteractions between tumor cells and microenvironment in breast cancer: a new opportunity for targeted therapy
P2860
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P2860
description
2009 nî lūn-bûn
@nan
2009 թուականի Մայիսին հրատարակուած գիտական յօդուած
@hyw
2009 թվականի մայիսին հրատարակված գիտական հոդված
@hy
2009年の論文
@ja
2009年論文
@yue
2009年論文
@zh-hant
2009年論文
@zh-hk
2009年論文
@zh-mo
2009年論文
@zh-tw
2009年论文
@wuu
name
mRNA-Seq whole-transcriptome analysis of a single cell
@ast
mRNA-Seq whole-transcriptome analysis of a single cell
@en
mRNA-Seq whole-transcriptome analysis of a single cell
@nl
type
label
mRNA-Seq whole-transcriptome analysis of a single cell
@ast
mRNA-Seq whole-transcriptome analysis of a single cell
@en
mRNA-Seq whole-transcriptome analysis of a single cell
@nl
prefLabel
mRNA-Seq whole-transcriptome analysis of a single cell
@ast
mRNA-Seq whole-transcriptome analysis of a single cell
@en
mRNA-Seq whole-transcriptome analysis of a single cell
@nl
P2093
P3181
P356
P1433
P1476
mRNA-Seq whole-transcriptome analysis of a single cell
@en
P2093
Asim Siddiqui
Brian B Tuch
Catalin Barbacioru
Clarence Lee
Ellen Nordman
Fuchou Tang
John Bodeau
Kaiqin Lao
Xiaohui Wang
P2888
P304
P3181
P356
10.1038/NMETH.1315
P407
P50
P577
2009-04-06T00:00:00Z
P5875
P6179
1022155307