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Resources

The facility maintains centralize resources that are accessible for "self service" via the links below. Access to these resources is available from computers within the institute and requires a username and password to use from outside computers.

Service Description Launch Manuals / Tutorials
BLAST
The Wistar local blast server provides access to a local version of the NCBI BLAST family of programs. The interface is similar to that used at NCBI's web site. Sequence databases from NCBI as well as custom in-house databases are maintained and accessed locally.

MegaBlast [readme]

PSI/PHI Blast [readme]
Blast [readme]
GCG / SeqWeb

SeqWeb: Web interface for GCG contains collection of programs used to analyze or manipulate DNA and protein sequence data

Browsers that are currently supported for GCG / SeqWeb:
Windows 98/NT/2000:
Netscape - versions 4.77, 4.78, 4.79 and 6.2 and 6.2.x
Internet Explorer - versions 5.5 and 6.0
Macintosh OS 9/OS X:
Netscape - versions 4.77, 4.78, 4.79 and 6.2 and 6.2.x
Internet Explorer - versions 5.0 and 5.1x

SFT Secure File Transfer (SFT) service is a web-based application designed to facilitate secure sharing of files between collaborators within a project. Privaleges to upload, download, and delete files can be customized for each member of a project. User accounts and projects can be configured by bioinformatics facility personnel.
Gene-specific siRNA selector

Small interfering RNA (siRNA) guides sequence-specific degradation of the homologous mRNA, thus producing "knock-down" cells. siRNA design tool scans a target gene for candidate siRNA sequences that satisfy user-adjustable rules.
The program evaluates:
1. siRNA FUNCTIONALITY by using empirical rules recently developed by Dharmacon, Amgen and University of Massachusetts.
2. siRNA SPECIFICITY by blasting each sequence against UniGene.

In addition, non-specific scrambled controls can be designed using "scrambled" option.


BayesMiRNAfind The application predicts microRNA genes using a machine learning technique, the Naïve Bayes classifier. This computational procedure automatically generates a model from the input or training data, which is the sequence and structure of known microRNAs from a variety of species.

 

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