User: AbuJarour

Lymphoma type prediction based on microar... (7)

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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.

Created: 2010-05-11 | Last updated: 2010-05-11

Credits: Wei Tan Ravi Stian Soiland-Reyes

Gene annotation pipeline for the Graves di... (2)

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This is a revised workflow for the Graves disease scenario gene annotation pipeline used in the myGrid project. The workflow had to be re-written due to the loss of the services invoked in the original workflow.

Created: 2007-10-03 | Last updated: 2007-11-22

Credits: Katy Wolstencroft Peter Li

Identification of differential genes using... (1)

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This workflow starts by retrieving the names of microarray datasets from the Maxd database. The user has to select sets of control and test data which are then analysed by the LIMMA Bioconductor package in an R script. This produces a list of significant differentially expressed genes which is then analysed using the Go Term Finder tool to generate a PDF report of the common GO terms associated with the genes. A CSV file containing the list of sign...

Created: 2008-07-02 | Last updated: 2008-07-02

Credits: Peter Li

BiomartAndEMBOSSAnalysis (4)

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Using Biomart and EMBOSS soaplab services, This workflow retrieves a number of sequences from 3 species: mouse, human, rat; align them, and returns a plot of the alignment result. Corresponding sequence ids are also returned.

Created: 2009-09-15 | Last updated: 2015-01-26

Identification of differential genes using... (2)

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This workflow starts by retrieving the names of microarray datasets from the Maxd database. The user has to select sets of control and test data for analysis using t-tests by R. A list of significant differentially expressed genes is then analysed using the Go Term Finder tool which generates a list of GO terms associated with the genes. A CSV file containing the list of significant genes is also generated.

Created: 2008-04-15 | Last updated: 2008-07-01

Credits: Peter Li

Workflow for Protein Sequence Analysis (1)

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This workflow performs a generic protein sequence analysis. In order to do that a novel protein sequence enters into the software along with a list of known protein identifiers chosen by the biologist to perform a homology search, followed by a multiple sequence alignment and finally a phylogenetic analysis.

Created: 2008-01-09 | Last updated: 2008-01-09

Credits: M.B.Monteiro

Attributions: BLAST using DDBJ service Simplify a BLAST text file conditional branch

Success-Abandonment-Classification (3)

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Retrieves data from FLOSSmole and from the Notre Dame SourceForge repository to compute project statistics based on releases, downloads and project lifespan. Project statistics are then used to classify projects according to the criteria set up in English & Schweik, but comparison criteria are parameterized so that a different set of criterion thresholds can be used to evaluate the project characteristics.

Created: 2008-02-06 | Last updated: 2008-07-02

Credits: Andrea Wiggins James Howison

Pathways and Gene annotations for QTL region (7)

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This workflow searches for genes which reside in a QTL (Quantitative Trait Loci) region in the mouse, Mus musculus. The workflow requires an input of: a chromosome name or number; a QTL start base pair position; QTL end base pair position. Data is then extracted from BioMart to annotate each of the genes found in this region. The Entrez and UniProt identifiers are then sent to KEGG to obtain KEGG gene identifiers. The KEGG gene identifiers are then used to searcg for pathways in the KEGG path...

Created: 2009-11-19 | Last updated: 2012-09-07

Credits: Paul Fisher

BioAID_DiseaseDiscovery_RatHumanMouseUnipr... (4)

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This workflow finds disease relevant to the query string via the following steps: 1. A user query: a list of terms or boolean query - look at the Apache Lucene project for all details. E.g.: (EZH2 OR "Enhancer of Zeste" +(mutation chromatin) -clinical); consider adding 'ProteinSynonymsToQuery' in front of the input if your query is a protein. 2. Retrieve documents: finds 'maximumNumberOfHits' relevant documents (abstract+title) based on query (the AIDA service inside is based on Apa...

Created: 2008-12-15 | Last updated: 2011-08-11

Credits: Marco Roos AID

Entrez Gene to KEGG Pathway (5)

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This workflow takes in Entrez gene ids then adds the string "ncbi-geneid:" to the start of each gene id. These gene ids are then cross-referenced to KEGG gene ids. Each KEGG gene id is then sent to the KEGG pathway database and its relevant pathways returned.

Created: 2009-12-04 | Last updated: 2010-11-30

Credits: Paul Fisher