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GenePattern:一个强大的基因组学分析平台 - 生物信息 - 生物秀
标题: GenePattern:一个强大的基因组学分析平台
摘要: [GenePattern:一个强大的基因组学分析平台]GenePattern是一个强大的基因组学分析平台,该平台整合了大量的基因表达分析、蛋白质组学(Proteomics)分析、SNP分析、流式细胞分析、RNA-seq数据分析以及一些常规的生物信息(bioinformation)学分析工具。
以下是官方介绍:
GenePattern is a powerfu…… [关键词:基因组学 表达分析 基因 蛋白质组学 生物信息 数据分析 生物信息学]……
GenePattern是一个强大的基因组学分析平台,该平台整合了大量的基因表达分析、蛋白质组学(Proteomics)分析、SNP分析、流式细胞分析、RNA-seq数据分析以及一些常规的生物信息(bioinformation)学分析工具。
以下是官方介绍:
GenePattern is a powerful genomic analysis platform that provides access to more than 150 tools for gene expression analysis, proteomics, SNP analysis, flow cytometry, RNA-seq analysis, and common data processing tasks. A web-based interface provides easy access to these tools and allows the creation of multi-step analysis pipelines that enable reproducible in silico research.
相关网站地址:http://www.broadinstitute.org/cancer/software/genepattern/
相关热词:
..........
生物秀是目前国内最具影响力的生物医药门户网站之一,致力于IT技术和BT的跨界融合以及生物医药领域前沿技术和成功商业模式的传播。为生物医药领域研究人员和企业提供最具价值的行业资讯、专业技术、学术交流平台、会议会展、电子商务和求职招聘等一站式服务。
官方微信号:shengwuxiu
电话:021-君,已阅读到文档的结尾了呢~~
GenePattern flow cytometry suite
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GenePattern flow cytometry suite
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3秒自动关闭窗口genePattern data preprocessing
genePattern data preprocessing
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preprocess data set using genePattern preProces service, the input &data /> should be in genePattern STATML format. Configuration parameters can be adjusted by changing the default preprocess data set using genePattern preProces service, the input &data /> should be in genePattern STATML format.preprocess data set using genePattern preProces service, the input &data /> should be in genePattern STATML format. Configuration parameters can be adjusted by changing the string constants.
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Workflow Components
Authors (2)
University of Chicago and Argonne National Lab
http://www.mcs.anl.gov/~wtan/
University of Chicago and Argonne National Lab
Titles (1)
genePattern data preprocessing
Descriptions (3)
preprocess data set using genePattern preProces service, the input &data/& should be in genePattern STATML format. Configuration parameters can be adjusted by changing the default
preprocess data set using genePattern preProces service, the input &data/& should be in genePattern STATML format.
preprocess data set using genePattern preProces service, the input &data/& should be in genePattern STATML format. Configuration parameters can be adjusted by changing the string constants.
Dependencies (0)
Inputs (1)
Description
the raw data element (&data/&) to be preprocessed. &data/& should be in STATML format.
Processors (18)
Description
xmlsplitter
PreprocessDatasetParameterSetXML1
xmlsplitter
preProcessTestData
Wsdlhttp://node255.broadinstitute.org:6060/wsrf/services/cagrid/PreprocessDatasetSTATMLService?wsdlWsdl OperationperformAnalysis
parametersXML12
xmlsplitter
parametersXML11
xmlsplitter
preprocessDatasetParameterSetXML
xmlsplitter
stringconstant
columnThreshold
stringconstant
filterFlag
stringconstant
Valuefalse
logBaseTwo
stringconstant
Valuefalse
maxSigmaBinning
stringconstant
stringconstant
stringconstant
Value100.0
numberOfColumnsAboveThreshold
stringconstant
numExclude
stringconstant
preprocessingFlag
stringconstant
Valueno-disc-or-norm
probabilityThreshold
stringconstant
stringconstant
Beanshells (0)
Outputs (1)
Description
preProcessedData
Datalinks (19)
dataXML:Data
threshold:value
PreprocessDatasetParameterSetXML1:threshold
numExclude:value
PreprocessDatasetParameterSetXML1:numExclude
preprocessingFlag:value
PreprocessDatasetParameterSetXML1:preprocessingFlag
logBaseTwo:value
PreprocessDatasetParameterSetXML1:logBaseTwo
filterFlag:value
PreprocessDatasetParameterSetXML1:filterFlag
minDelta:value
PreprocessDatasetParameterSetXML1:minDelta
ceiling:value
PreprocessDatasetParameterSetXML1:ceiling
minChange:value
PreprocessDatasetParameterSetXML1:minChange
columnThreshold:value
PreprocessDatasetParameterSetXML1:columnThreshold
maxSigmaBinning:value
PreprocessDatasetParameterSetXML1:maxSigmaBinning
probabilityThreshold:value
PreprocessDatasetParameterSetXML1:probabilityThreshold
numberOfColumnsAboveThreshold:value
PreprocessDatasetParameterSetXML1:numberOfColumnsAboveThreshold
parametersXML11:output
preProcessTestData:parameters
preProcessTestData:parameters
parametersXML12:input
dataXML:output
parametersXML11:data
preprocessDatasetParameterSetXML:output
parametersXML11:preprocessDatasetParameterSet
PreprocessDatasetParameterSetXML1:output
preprocessDatasetParameterSetXML:PreprocessDatasetParameterSet
parametersXML12:Data
preProcessedData
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on Monday 23 November :09 (UTC)
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Other workflows that use similar services
Scientific value Using gene-expression patterns associated with DLBCL and FL to predict the lymphoma type of an unknown sample. Using SVM (Support Vector Machine) to classify data, and predicting the tumor types of unknown examples. Steps Querying training data from experiments stored in caArray. Preprocessing, or normalize the microarray data. Adding training and testing data into SVM service to get classification result.
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preprocess data before it is sent to any GenePattern services.
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