Full-length mRNA-Seq from single-cell levels of RNA and individual circulating tumor cells.
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 heterogeneitySingle cell genomics: advances and future perspectivesGenetics and immunity in the era of single-cell genomicsSingle-Cell Sequencing Technology in Oncology: Applications for Clinical Therapies and ResearchRNA-Seq methods for transcriptome analysisPractical aspects of NGS-based pathways analysis for personalized cancer science and medicineDesign and computational analysis of single-cell RNA-sequencing experimentsSingle-cell sequencing in stem cell biologyEvaluation and consequences of heterogeneity in the circulating tumor cell compartmentSingle-cell transcriptome sequencing: recent advances and remaining challengesSingle-cell technologies are revolutionizing the approach to rare cellsSingle-cell technologies to study the immune systemSingle-cell analyses of circulating tumor cellsDynamics in Transcriptomics: Advancements in RNA-seq Time Course and Downstream AnalysisDefining cell types and states with single-cell genomicsCirculating RNAs as new biomarkers for detecting pancreatic cancerEvolutionary determinants of cancerThe applications of single-cell genomicsLibrary construction for next-generation sequencing: overviews and challenges.All's well that ends well: alternative polyadenylation and its implications for stem cell biologyAdvances and applications of single-cell sequencing technologiesHeterogeneity in immune responses: from populations to single cellsInvestigating intratumour heterogeneity by single-cell sequencingThe promise of circulating tumor cell analysis in cancer managementSingle-cell RNA-seq: advances and future challengesSingle molecule and single cell epigenomics.Age-related changes in the innervation of the prostate gland: implications for prostate cancer initiation and progressionAdult mouse cortical cell taxonomy revealed by single cell transcriptomicsCharacterizing noise structure in single-cell RNA-seq distinguishes genuine from technical stochastic allelic expression.Single-cell RNA-Seq resolves cellular complexity in sensory organs from the neonatal inner ear.Cancer genome sequencing: understanding malignancy as a disease of the genome, its conformation, and its evolution.Single cell transcriptomics: methods and applicationsTechnological considerations for genome-guided diagnosis and management of cancerA survey of best practices for RNA-seq data analysisSingle-Cell Transcriptomics Bioinformatics and Computational ChallengesPrecision targeted therapy of ovarian cancerApplication of single-cell genomics in cancer: promise and challengesImage-based transcriptomics in thousands of single human cells at single-molecule resolutionSingle-cell transcriptogenomics reveals transcriptional exclusion of ENU-mutated alleles
P2860
Q21129298-9A563036-9BA1-48F3-988D-29AC63942BBFQ21183988-0888F04C-26E6-441A-AF7F-FD1EBBBBD942Q21563353-7603D4E1-D4A0-4DD6-8676-7540DC5E4BBBQ26740484-5C868826-99C6-4905-8771-D7F597DABA29Q26744582-C08CDD9F-0B4F-4DFA-AAAF-7450F0CD742BQ26747608-5CD42FAB-2948-422F-B3FE-6CC06B94BA68Q26748603-093B05BF-DA3A-4C73-A4A6-CCC7B2FE52B2Q26751087-6546BDC2-2E36-448F-ABCC-78ABE2831F55Q26753145-E3DDB931-2C1A-4DA9-9923-870E7AD180C6Q26765357-3C616700-8A65-4373-8489-568A6185406DQ26767451-B278D368-DD44-4D4C-8C1F-B403832CB2B7Q26775923-D3BC4BFA-5CE6-4E40-BC71-EE414740E332Q26778375-B0497FA2-3770-4628-B92C-0FD9B33DF7D5Q26778816-9BEEFE76-F160-4FA8-86EE-584E09EAF013Q26782685-FC0CDF8C-2BFB-40F7-B742-EF9AFB82FEC9Q26782737-FB3DFDF8-4689-45D4-ABFE-B185F35CA559Q26801191-452CC95A-1ACD-4369-8882-BEE56904CFC0Q26801710-843116B7-D814-4929-8427-F5EECADB169CQ26825813-13D6AD88-37C8-4FED-8B7D-8824F621737EQ26995193-81059FC6-FB9F-4F32-855C-93FFD9F93BCAQ26998409-F9AF9140-184B-4151-BB9D-534C40E7767DQ27004390-2FACA4F9-E745-484D-999F-F0AD694CA8D3Q27013828-BF066D3F-D606-42DE-BE87-956DDE43B35DQ27015460-8F5BE025-D0DC-4336-9959-544D3226B9ACQ27022113-065F815E-BD17-43F1-A6AC-F2DDDAC505ECQ27023759-9500088E-5176-464C-8CB5-BC642D014A24Q27026725-9C2AD22C-AC55-4AD5-92A6-643F7F4AC14BQ27027373-22E2E386-38C0-46AF-B2AD-67202470DF1FQ27311570-11A4E89E-8E6F-480C-B50A-66BD096448F1Q27320052-F10947E6-4F8F-479F-A65B-5EAA5DC44200Q27321172-95C63AFB-BA4F-461F-B8CD-91D18DDE03C8Q27690285-77EAF91F-28B2-47B2-BB58-D0BA7E08139FQ27690585-9B3C8066-048F-4F19-8A74-9423E5EAC3E6Q28066706-590F3FA4-C799-475F-BBDD-5FC8A15B16A4Q28071394-4FC81147-9798-4E14-8585-89A32DA34B29Q28073365-1BBC7CA5-F66C-46A6-AA5C-F4840B4C5D12Q28078658-81B4A0A6-8858-494B-91C2-313DE3D956B1Q28085411-AF2C1E48-5C28-47B1-B35C-A9B0AD534A44Q28299870-6C9C8AAF-8A01-455D-A226-281C49F5F3A0Q28388773-E3BCBA7B-1179-4288-8A65-A565C6FB8F17
P2860
Full-length mRNA-Seq from single-cell levels of RNA and individual circulating tumor cells.
description
2012 nî lūn-bûn
@nan
2012 թուականի Օգոստոսին հրատարակուած գիտական յօդուած
@hyw
2012 թվականի օգոստոսին հրատարակված գիտական հոդված
@hy
2012年の論文
@ja
2012年論文
@yue
2012年論文
@zh-hant
2012年論文
@zh-hk
2012年論文
@zh-mo
2012年論文
@zh-tw
2012年论文
@wuu
name
Full-length mRNA-Seq from sing ...... vidual circulating tumor cells
@nl
Full-length mRNA-Seq from sing ...... idual circulating tumor cells.
@ast
Full-length mRNA-Seq from sing ...... idual circulating tumor cells.
@en
type
label
Full-length mRNA-Seq from sing ...... vidual circulating tumor cells
@nl
Full-length mRNA-Seq from sing ...... idual circulating tumor cells.
@ast
Full-length mRNA-Seq from sing ...... idual circulating tumor cells.
@en
prefLabel
Full-length mRNA-Seq from sing ...... vidual circulating tumor cells
@nl
Full-length mRNA-Seq from sing ...... idual circulating tumor cells.
@ast
Full-length mRNA-Seq from sing ...... idual circulating tumor cells.
@en
P2093
P2860
P50
P3181
P356
P1433
P1476
Full-length mRNA-Seq from sing ...... idual circulating tumor cells.
@en
P2093
Gary P Schroth
Gregory A Daniels
Irina Khrebtukova
Jeanne F Loring
Louise C Laurent
Shujun Luo
Yu-Chieh Wang
P2860
P2888
P304
P3181
P356
10.1038/NBT.2282
P407
P577
2012-08-01T00:00:00Z
P5875
P6179
1051167758