All content

Search filter terms
Filter by category
Filter by type
Filter by tag
Filter by user
Filter by licence
Filter by group
Filter by wsdl
Filter by curation
Results per page:
Sort by:
Showing 4523 results. Use the filters on the left and the search box below to refine the results.

Workflow Read SwissProt file (1)

Thumb
The Read_SwissProt_file service reads the file at the swiss_prot_file_url and converts the SwissProt data into Agave format. The result is then sent to the workflow's swiss_prot_data port.

Created: 2010-10-28 | Last updated: 2010-10-28

Workflow Read GenBank file (1)

Thumb
The Read_GenBank_file service reads the file at the genbank_file_url and converts the GenBank data into Agave format. The result is then sent to the workflow's gen_bank_data port.

Created: 2010-10-28 | Last updated: 2010-10-28

Workflow Encode byte[] to base64 (1)

Thumb
The encode byte[] to base 64 service encodes the bytes representing (in the local character set) 'hello'.

Created: 2010-10-28

Workflow Decode base64 to byte[] (1)

Thumb
The decode base64 to byte[] service decodes the base64 string. The byte array is then converted into the string 'Hello world'.

Created: 2010-10-28

Workflow Is Parameter Optimization Useful (1)

Thumb
This process compares two 10x10fold cross-validations with linear SVM for classification. One use the heuristic parameter choice C=1/avg(K(x,x)) and the other uses an internal 5fold cross-validation to tune the parameter C. Afterwards both performance values are compared via ANOVA and T-test to check whether there is a significant difference between both performance values. The behaviour of the optimized 10x10 XV is similar to that of the experiment 10x10fold_XV_with_optimizedSVM_classificat...

Created: 2010-10-28 | Last updated: 2010-10-28

Workflow 10x10fold_XV_with_optimizedSVM_classification (1)

Thumb
This process performs 10 round of 10fold cross-validation for classification with a linear SVM. In each traning-phase the parameters C of the linear SVM is tuned by a 5fold cross-validation. The repetions are useful for estimating the real performance on a small sample high variance data set, e.g. microarray data.

Created: 2010-10-28

Creator

Pack Presentation - The Evolution of e-Research: Machines...


Created: 2010-10-28 07:09:43 | Last updated: 2010-10-29 01:20:15

Title: The Evolution of e-Research: Machines, Methods and Music Speaker: David De Roure Event: Oxford e-Research Centre Open Day 2010 Event URL: http://www.oerc.ox.ac.uk/events/ddr-inaugural Location: Oxford, UK Date: Thursday October 28, 2010 Formats: .ppt and .pptx

3 items in this pack

Comments: 0 | Viewed: 29 times | Downloaded: 6 times

This Pack has no tags!

Workflow Blastn-ClustalW (1)

This workflow retrieves a sequence from NCBI Core Nucleotide, searches for similar sequences with Blastn, then feeds a set of Blastn results into the multiple alignment tool, ClustalW.

Created: 2010-10-27 | Last updated: 2010-10-27

Credits: User Kalpana

Workflow Polygon buffer - Using pyWPS (1)

Thumb
Basic example on how to integrate a Web Processing Service (WPS) using  PyWPS's WSDL/SOAP The workflow will accept a GML file with featureCollection where polyon is described using gml:coordinate element structure. This GMl is easely generated with GDAL. The coodinate structure will be converted to WKT and used to create a polygon using shapely, the output will be a buffer polygon with a defined width. Output polygon will replace the orginal polygon and the existing XML will be return...

Created: 2010-10-26 | Last updated: 2010-10-26

Credits: User Jorgejesus

Workflow Concatenate Examples (1)

Thumb
This process I'm using for preprocessing is concatenating the values of att2 for all the same values of att1 in att3. ps: Thanks to Matthias for his help.

Created: 2010-10-26 | Last updated: 2010-10-26

Results per page:
Sort by: