Chipster: user-friendly analysis software for microarray and other high-throughput data
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Recommendations on e-infrastructures for next-generation sequencingA membrane-type-1 matrix metalloproteinase (MT1-MMP)-discoidin domain receptor 1 axis regulates collagen-induced apoptosis in breast cancer cellsSteroid hormone signaling is essential to regulate innate immune cells and fight bacterial infection in DrosophilaAnalyzing and interpreting genome data at the network level with ConsensusPathDBA survey of best practices for RNA-seq data analysisUSF1 deficiency activates brown adipose tissue and improves cardiometabolic healthA Transporter Interactome Is Essential for the Acquisition of Antimicrobial Resistance to AntibioticsTime-scale dynamics of proteome and transcriptome of the white-rot fungus Phlebia radiata: growth on spruce wood and decay effect on lignocelluloseBioImg.org: A Catalog of Virtual Machine Images for the Life SciencesGenomics Virtual Laboratory: A Practical Bioinformatics Workbench for the CloudA user-friendly workflow for analysis of Illumina gene expression bead array data available at the arrayanalysis.org portalHTSstation: a web application and open-access libraries for high-throughput sequencing data analysisEDAM: an ontology of bioinformatics operations, types of data and identifiers, topics and formatseRNA: a graphic user interface-based tool optimized for large data analysis from high-throughput RNA sequencing.Data mining of atherosclerotic plaque transcriptomes predicts STAT1-dependent inflammatory signal integration in vascular disease.Identification of a prognostic signature for old-age mortality by integrating genome-wide transcriptomic data with the conventional predictors: the Vitality 90+ Study.Arenavirus Coinfections Are Common in Snakes with Boid Inclusion Body Disease.QuickNGS elevates Next-Generation Sequencing data analysis to a new level of automation.Future opportunities and trends for e-infrastructures and life sciences: going beyond the grid to enable life science data analysisReview: High-performance computing to detect epistasis in genome scale data sets.Experiences with workflows for automating data-intensive bioinformatics.TRAPLINE: a standardized and automated pipeline for RNA sequencing data analysis, evaluation and annotationIntegrated Systems for NGS Data Management and Analysis: Open Issues and Available Solutions.SUSHI: an exquisite recipe for fully documented, reproducible and reusable NGS data analysisIntegration and Visualization of Translational Medicine Data for Better Understanding of Human Diseases.Succession of transiently active tumor-initiating cell clones in human pancreatic cancer xenografts.CrossQuery: a web tool for easy associative querying of transcriptome data.Hadoop-BAM: directly manipulating next generation sequencing data in the cloud.Transcriptional profiling of Arabidopsis root hairs and pollen defines an apical cell growth signature.WGS Analysis and Interpretation in Clinical and Public Health Microbiology Laboratories: What Are the Requirements and How Do Existing Tools Compare?DNA copy number analysis of fresh and formalin-fixed specimens by shallow whole-genome sequencing with identification and exclusion of problematic regions in the genome assembly.Loss of beta2-integrin-mediated cytoskeletal linkage reprogrammes dendritic cells to a mature migratory phenotype.Transcriptional analysis reveals gender-specific changes in the aging of the human immune system.The miRNA and mRNA Signatures of Peripheral Blood Cells in Humans Infected with Trypanosoma brucei gambienseIdentifying genes relevant to specific biological conditions in time course microarray experiments.Cancer-predicting gene expression changes in colonic mucosa of Western diet fed Mlh1+/- miceA gene expression-based comparison of cell adhesion to extracellular matrix and RGD-terminated monolayers.STAT1-dependent signal integration between IFNγ and TLR4 in vascular cells reflect pro-atherogenic responses in human atherosclerosisQuantitative trait loci mapping and transcriptome analysis reveal candidate genes regulating the response to ozone in Arabidopsis thaliana.Genetic Variability Overrides the Impact of Parental Cell Type and Determines iPSC Differentiation Potential.
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P2860
Chipster: user-friendly analysis software for microarray and other high-throughput data
description
2011 nî lūn-bûn
@nan
2011 թուականին հրատարակուած գիտական յօդուած
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2011 թվականին հրատարակված գիտական հոդված
@hy
2011年の論文
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2011年論文
@yue
2011年論文
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2011年論文
@zh-hk
2011年論文
@zh-mo
2011年論文
@zh-tw
2011年论文
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name
Chipster: user-friendly analysis software for microarray and other high-throughput data
@ast
Chipster: user-friendly analysis software for microarray and other high-throughput data
@en
Chipster: user-friendly analysis software for microarray and other high-throughput data
@en-gb
Chipster: user-friendly analysis software for microarray and other high-throughput data
@nl
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Chipster: user-friendly analysis software for microarray and other high-throughput data
@ast
Chipster: user-friendly analysis software for microarray and other high-throughput data
@en
Chipster: user-friendly analysis software for microarray and other high-throughput data
@en-gb
Chipster: user-friendly analysis software for microarray and other high-throughput data
@nl
prefLabel
Chipster: user-friendly analysis software for microarray and other high-throughput data
@ast
Chipster: user-friendly analysis software for microarray and other high-throughput data
@en
Chipster: user-friendly analysis software for microarray and other high-throughput data
@en-gb
Chipster: user-friendly analysis software for microarray and other high-throughput data
@nl
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P2860
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P1476
Chipster: user-friendly analysis software for microarray and other high-throughput data
@en
P2093
Eija I Korpelainen
Ilari Scheinin
Janne Käki
Jarno T Tuimala
M Aleksi Kallio
Massimiliano Gentile
Mikko Koski
Petri Klemelä
Taavi Hupponen
P2860
P2888
P3181
P356
10.1186/1471-2164-12-507
P407
P577
2011-01-01T00:00:00Z
P5875
P6179
1049539280