Workflows

Texture classification: Knime Image Analytics (1)

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A workflow including image pre-processing and descriptor calculation for building a texture classification model. The workflow can really be used for any kind of image classification task for which has labelled training data.There is significant scope of improvement, both on the image processing , descriptor selection and model building phases..Happy image analytics !

Created: 2015-11-10

Credits: Insilicoconsulting

Detrprok (4)

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In the case study of stranded and prokaryotic RNAseq data, the Det'Rprok workflow detects candidates of 3 kinds of non coding RNA: 5'UTRs, antisense RNAs, and small RNAs.Inputs: i) an mapping file (bam format) containing one valid alignment by read, ii) a feature file (gff format) annotating the genomic sequences used for the mapping. Dependencies (from the Galaxy toolshed): "s_mart", "detrprok_scripts"

Created: 2013-05-20 | Last updated: 2015-11-03

wf4ever_document_extraction_and_storage (1)

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The workflow uses parts of the existing BioAid workflow by Marco Roos (http://www.myexperiment.org/workflows/74.html) The workflow stores found articles in a Solr database. Make sure that Solr is running in the correct directory (stored in the Solr_directory value).

Created: 2013-07-24 | Last updated: 2013-08-29

Drug-Drug Networks using Matador-DrugBank ... (1)

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These days, Networks of all kinds are all the rage! So here's a trickle contributing to the flood.The workflow generates a network based on Similarity between known drugs based on commonality of their "direct" drug target interactions.The workflow does not provide a comparison between Chemical similarity based network and one based on shared drug targets. It only provides the latter.Other nodes and interfaces to Cytoscape and exported csv can be used to further the network analy...

Created: 2015-09-17 | Last updated: 2015-09-17

Credits: Insilicoconsulting

SAR by Rgroup decomposition (1)

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This workflow showcases a simple way to use Rgroup decomposition for SAR analysis.Once R-groups are obtained for several sites on the Scaffold, molecular properties like logP, TPSA, number of heavy/hetero-atoms, various kinds of ring counts are calculated.While medicinal chemistry purists may decry calculating properties for fragments/R-groups, correlating these at each site with Ki (or activity) shows up interesting trends.It's immediately apparent if increasing logP at a given site incr...

Created: 2015-09-15

Credits: Insilicoconsulting

phage display techniques (1)

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Created: 2016-11-22

Credits: Candy Swift

Cow-Human Ortholog Pathways and Gene annot... (2)

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This workflow searches for genes which reside in a QTL (Quantitative Trait Loci) region in the cow, Bos taurus. 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. As the Cow genome is currently unfinished, the workflow subsequently maps the cow ensembl gene ids to human orthologues. Entrez and UniProt identifiers are then identified...

Created: 2007-10-03 | Last updated: 2009-12-03

Semantic clustering (with k-medoids) of SP... (1)

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The workflow uses RapidMiner extension named RMonto (http://semantic.cs.put.poznan.pl/RMonto/) to perform clustering of SPARQL query results based on chosen semantic similarity measure. Since the semantics of the backgound ontology is used in this way, we use the name "semantic clustering". The SPARQL query is entered in a parameter of "SPARQL selector" operator. The clustering operator (k-medoids) allows to specify which of the query variables are to be used as clustering criteria. If more ...

Created: 2012-01-29

Semantic clustering (with AHC) of SPARQL q... (1)

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The workflow uses RapidMiner extension named RMonto (http://semantic.cs.put.poznan.pl/RMonto/) to perform clustering of SPARQL query results based on chosen semantic similarity measure. The measure used in this particualr workflow is a kernel that exploits membership of clustered individuals to OWL classes from a background ontology ("Common classes" kernel from [1]). Since the semantics of the backgound ontology is used in this way, we use the name "semantic clustering". ...

Created: 2012-01-29 | Last updated: 2012-01-29

Multi sequences NCBI BLAST (1)

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Run a BLAST analysis using the EBI's WSNCBIBlast service (see http://www.ebi.ac.uk/Tools/webservices/services/ncbiblast). This workflow wraps the EBI_NCBI_BLAST workflow to provide a basic user interface which prompts for the required inputs: sequence file, database, BLAST program and user e-mail. Other parameters (e.g. matrix, sort, gap penalties, etc.) are allowed to default.

Created: 2008-12-05

Credits: Whybiocc

Attributions: EBI_NCBI_BLAST EBI_NCBI_BLAST_with_prompts EBI_Blast2InterPro