about
A systematically improved high quality genome and transcriptome of the human blood fluke Schistosoma mansoniSystems medicine: the future of medical genomics and healthcareInstitutional shared resources and translational cancer researchInsights into Sexual Precocity of Female Oriental River Prawn Macrobrachium nipponense through Transcriptome Analysis.Microarray experiments and factors which affect their reliabilityTranscriptome and proteome research in veterinary science: what is possible and what questions can be asked?Microarray resources for genetic and genomic studies in chicken: a reviewChamber Specific Gene Expression Landscape of the Zebrafish HeartComputational approaches towards understanding human long non-coding RNA biologyMethod designed to respect molecular heterogeneity can profoundly correct present data interpretations for genome-wide expression analysisRNA Sequencing and AnalysisUsing genome-wide expression profiling to define gene networks relevant to the study of complex traits: from RNA integrity to network topologyPredictive and prognostic molecular markers for cancer medicineNext-generation insights into regulatory T cells: expression profiling and FoxP3 occupancy in HumanHigh-throughput SuperSAGE for digital gene expression analysis of multiple samples using next generation sequencingSystems biology of innate immunityCNV-seq, a new method to detect copy number variation using high-throughput sequencingJASPAR 2010: the greatly expanded open-access database of transcription factor binding profilesComparative RNA-Seq and microarray analysis of gene expression changes in B-cell lymphomas of Canis familiaris.A high resolution map of the Arabidopsis thaliana developmental transcriptome based on RNA-seq profiling.RNA-Seq optimization with eQTL gold standards.PASTA: splice junction identification from RNA-sequencing data.Large scale comparison of gene expression levels by microarrays and RNAseq using TCGA data.Identification of significant features in DNA microarray data.Reducing bias in RNA sequencing data: a novel approach to compute counts.Measuring differential gene expression with RNA-seq: challenges and strategies for data analysis.Analysis and visualization of RNA-Seq expression data using RStudio, Bioconductor, and Integrated Genome BrowserPracticability of detecting somatic point mutation from RNA high throughput sequencing dataA Mechanistic Beta-Binomial Probability Model for mRNA Sequencing Data.Genome, transcriptome and proteome: the rise of omics data and their integration in biomedical sciences.Transcriptome sequencing of the Microarray Quality Control (MAQC) RNA reference samples using next generation sequencing.Gene expression profiling via LongSAGE in a non-model plant species: a case study in seeds of Brassica napusNovel insights into adipogenesis from omics dataBeyond element-wise interactions: identifying complex interactions in biological processes.RNA-Seq analysis to capture the transcriptome landscape of a single cell.Detection of splice junctions from paired-end RNA-seq data by SpliceMap.Gene set enrichment meta-learning analysis: next- generation sequencing versus microarraysSporadic ALS has compartment-specific aberrant exon splicing and altered cell-matrix adhesion biology.Statistical design and analysis of RNA sequencing data.Comparison and calibration of transcriptome data from RNA-Seq and tiling arrays.
P2860
Q21144505-F17023CD-5531-45B6-A1E9-16F01164C294Q24288895-78631C54-FFAF-4344-B2A3-90BECA33D9B9Q24288943-1F8C3E57-852A-4DDF-9FFC-6E346621D132Q26314689-296DB412-2753-4333-94EF-A463CB9A7934Q26786123-59DA44A9-2508-4FBF-A0C1-B44675F93B0CQ26824312-D68224BA-A51C-41C9-B486-4CD39308D3C1Q26859692-5D3F04AD-A0F3-442D-A171-50CA057524DCQ27324640-FF23740E-05DA-4361-A9B8-E40F44AC82BBQ28082457-AC179A34-E7BF-44DB-8A6C-99A7BC0CDC65Q28544818-90440FFF-5DA8-4C08-B919-ED8CA1F6B9EEQ28602964-475C76BC-D5E7-4876-A6D4-0EB64F3CA508Q28655514-1BAAB6F8-2243-41D4-8B3C-417E885651C7Q28743108-DFA5AAC2-C358-477D-B6E8-B95C1820ACD7Q28744304-8F771CD8-1DDA-4089-9E10-1E45DD424E1CQ28749912-A8E538A6-B053-47C6-AA3B-EE139D9E8FC8Q28752485-D868BB49-EF11-4655-A276-19CDE2FEF253Q29038143-447B6452-D3B6-46D4-A6D2-05C79FB44ACBQ29619342-0D76D906-D26A-4934-858A-66EC91CC7929Q30455450-2A8A01D0-40DC-4C41-A524-0BE7FAA1891EQ30489744-77448FC1-24B8-4748-A66B-13599FFCFDB4Q30564266-31AE22D9-F213-460D-A3CF-BE180450ED33Q30612266-F4A455FA-1B80-4BEA-823E-6E5BAE0E0680Q30663449-8743A0F6-460C-49C9-8C57-ED639553FC51Q30697080-35A5692A-74A7-4E62-BCB2-673FB5AC85A1Q30763179-171CA61D-7B02-49A2-AFE4-7757FE99C800Q30853974-C62110C4-3691-414B-B3D7-79FF0B7FBCF7Q30908206-32107B9C-05BB-4042-8772-8FDCE75223DEQ31068807-EF53746C-4D15-459B-8E93-C53E135F06FDQ31109511-4F99C034-5E36-4073-B863-9B3251F3B6BAQ31144431-6D07D873-2168-4459-BD60-696A550B6870Q33467101-84CDF881-F451-4B92-9678-E2C1B59EACE8Q33477993-C9A6E409-C713-430C-A912-19DE8C12836DQ33494654-BC6FAE7B-2C4D-4F65-9422-6428C2F2895AQ33506098-28D4BA25-821A-43A5-9E32-32895CD68091Q33536986-6B08F406-A9B1-47BC-8AE7-84EA571C9067Q33550018-46BD88BC-46C2-4383-A618-389CD32172FDQ33551033-7949A58C-C56D-43D6-92B0-4305904CCD21Q33552181-24811092-4DDD-4BEA-9CD8-BEA6CEA16DBBQ33571320-75A7E141-DB03-493D-ADDF-610868AFD35BQ33610866-E6B6BFBD-58E9-4531-B08C-41146284341A
P2860
description
2008 nî lūn-bûn
@nan
2008年の論文
@ja
2008年学术文章
@wuu
2008年学术文章
@zh-cn
2008年学术文章
@zh-hans
2008年学术文章
@zh-my
2008年学术文章
@zh-sg
2008年學術文章
@yue
2008年學術文章
@zh
2008年學術文章
@zh-hant
name
The beginning of the end for microarrays?
@en
The beginning of the end for microarrays?
@nl
type
label
The beginning of the end for microarrays?
@en
The beginning of the end for microarrays?
@nl
prefLabel
The beginning of the end for microarrays?
@en
The beginning of the end for microarrays?
@nl
P356
P1433
P1476
The beginning of the end for microarrays?
@en
P2888
P304
P356
10.1038/NMETH0708-585
P50
P577
2008-07-01T00:00:00Z
P5875
P6179
1023481283