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Showing 70 results. Use the filters on the left and the search box below to refine the results.
Type: KNIME

Workflow Phenotypic screening annotation: protocol 5 (1)

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This workflow contains protocol 5 as published in Digles et al., Open PHACTS Computational Protocols for in silico Target validation of Cellular Phenotypic Screens: Knowing the Knowns, MedChemComm, submitted.This workflow requires the Open PHACTS KNIME nodes (org.openphacts.utils.json_1.1.0.zip) available from https://github.com/openphacts/OPS-Knime.This workflow shows compounds which are found both in an assay of interest (upper part of the workflow) and in kinase assays (lower part of the w...

Created: 2016-05-06

Credits: User Daniela Digles Network-member Open PHACTS

Workflow Phenotypic screening annotation: protocols... (1)

This workflow contains protocols 1-4 as published in Digles et al., Open PHACTS Computational Protocols for in silico Target validation of Cellular Phenotypic Screens: Knowing the Knowns, MedChemComm, submitted.This workflow requires the Open PHACTS KNIME nodes (org.openphacts.utils.json_1.1.0.zip) available from https://github.com/openphacts/OPS-Knime.Starting with a list of compound URIs (here retrieved in the metanode Protocol 0), the workflow returns ChEBI classifications for the compound...

Created: 2016-05-06 | Last updated: 2016-05-06

Credits: User Daniela Digles Network-member Open PHACTS

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Workflow Scan range splitting for untargeted metabo... (1)

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This workflow analyzes untargeted HPLC-Orbitrap measurements split into separate or alternating scan ranges. The input nodes expect OpenMS consensusXML files that were exported using TextExporter. The workflow then combines the separate scan ranges, filters them utilizing blank and QC measurements, and performs a statistical analysis.Requirements:- KNIME Interactive R Statistics Integration

Created: 2016-01-14 | Last updated: 2016-01-14

Credits: User Marc Rurik

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Workflow 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: User Insilicoconsulting

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Workflow Pubmed -Google Tag Cloud (1)

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A simple workflow to query PubMed, Google and build a Tag Cloud after some preprocessing.

Created: 2015-11-01

Credits: User Insilicoconsulting

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Workflow RDKit Aggregator Advisor (1)

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A Knime (2.12.1) workflow that uses RDKit nodes for assessing the risk of a compound to form aggregates under biochemical assay conditions, inspired by the Aggregation Advisor paper of Irwin et al. While the Aggregator Advisor web tool allows for aggregation risk assessment of individual compounds, this Knime workflow can be used to quickly run through large compound collections.Query structures are loaded as an SD file (here a set of 1090 approved drugs), and are then compared for Tanimoto s...

Created: 2015-10-18 | Last updated: 2015-10-18

Credits: User Evert Homan

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Workflow RDKit PAINS 4 (1)

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Improved Knime (2.12.1) workflow for detection of Pan-Assay Interference Compounds (PAINS) using RDKit nodes. PAINS SMARTS curated by Greg Landrum are used for the substructure searches. These yield 753 hits among the WEHI set of 10,000 compounds. A Total Hits count column is added by the RDKit Substructure Counter node, so no additional aggregation is needed. Structures devoid of PAINS are separated out for further progression, while the PAINS hits can be visually inspected using the RDKit I...

Created: 2015-10-18 | Last updated: 2015-10-18

Credits: User Evert Homan

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Workflow 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: User Insilicoconsulting

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Workflow 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: User Insilicoconsulting

Workflow Answer to biostar https://www.biostars.org... (1)

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My answer to https://www.biostars.org/p/138848/ Question: How to replace a set of sequence ID's with another set of sequence ID's ?? Let us consider I have a file (Notepad or MS-doc) having 10 sequences with ID's A, B, C, D, E, F, G, H, I, J. I want to replace the ID's with K, L, M, N, O ,P, Q, R, S, T i.e., A to re replaced with K, B to be replaced with M and so on. How can I do this? I am a Biologist who have newly started analyzing Large data's and having this prob...

Created: 2015-04-20 | Last updated: 2015-04-20

Credits: User Pierre Lindenbaum

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