Gb User: Paul Fisher Admin_badge

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Name: Paul Fisher

Joined: Thursday 26 July 2007 @ 16:46:52 (BST)

Last seen: Wednesday 17 March 2010 @ 10:48:38 (GMT)

Email (public): fisherp [at] cs.manchester.ac.uk

Website: http://www.cs.man.ac.uk/~fisherp/

Location: Manchester, United Kingdom

Paul Fisher has been credited 224 times

Paul Fisher has an average rating of:

4.3 / 5

(19 ratings in total)

for their items

I am a fourth year PhD student. My research focuses on using QTL and microarray data, looking at the level of biological pathway, to identify novel links between Genotype and Phenotype. I am conducting these correlations thorugh the use of web services and workflows.

These have been tested on African Trypanosomiasis in both Cattle and mice, Lung Cancer, infection of a mouse with Trichuris muris, and Colitis / Inflammatory bowel disease.


Other contact details:

Not specified

Interests:

Workflows
QTL analysis
Microarrays
Biological pathway analysis
In silico automation
Protein 3D structure prediction
Disease gene identification

Field/Industry: Bioinformatics

Occupation/Role(s): 4th Year PhD Student

Organisation(s):

University of Manchester

 

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Workflow

Pipeline Pilot

Original Uploader

Workflow Wash and filter molecules (v1)

Created: 20/01/09 @ 10:11:25 | Last updated: 20/01/09 @ 10:11:26

Credits: User Paul Dobson

License: Creative Commons Attribution-Share Alike 3.0 Unported License

Wash_and_filter_myexperiment
The Wash and Filter workflow performs some processing on incoming structures to filter out those wildcards or unspecified atom types, standardise stereo and charges, and various other adjustments. This is an advance on the filter used in the paper... Drug Discovery Today Volume 14, Issues 1-2, January 2009, Pages 31-40 ‘Metabolite-likeness’ as a criterion in the design and selection of pharmaceutical drug libraries  

Rating: 0.0 / 5 (0 ratings) | Versions: 1 | Reviews: 0 | Comments: 0 | Citations: 0

Viewed: 119 times | Downloaded: 23 times

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Workflow

Taverna 1

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Workflow BioAID_DiseaseDiscovery (v3)

Created: 12/11/07 @ 22:39:04 | Last updated: 15/12/08 @ 20:47:51

Credits: User Marco Roos Network-member AID

License: Creative Commons Attribution-Share Alike 3.0 Unported License

Bioaid_diseasediscoveryworkflow_070904_1__1_
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...

Rating: 4.0 / 5 (2 ratings) | Versions: 3 | Reviews: 0 | Comments: 2 | Citations: 0

Viewed: 1952 times | Downloaded: 244 times

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