Carol Lushbough is an Assistant Professor of Computer Science at the University of South Dakota.
Her primary teaching areas include Systems Analysis, Software Engineering, and Bioinformatics.
In addition to her teaching responsibilities, she collaborates with Dr. Volker Brendel from
Iowa State University on the NSF funded project "Cyberinfrastructuer for (Comparative) Plant Genome
Research through PlangGDB". Her main contributes to the project is the development of the
BioExtract Server (http://bioextract.org). The BioExtract Server is a Web-based data integration
application designed to consolidate, analyze, and serve data from heterogeneous biomolecular
databases in the form of a mash-up. The basic operations of the BioExtract Server allow researchers,
via their Web browsers, to: specify data sources, flexibly query data sources, apply analytic tools,
download result sets, and store query results for later reuse. As a researcher works with the system,
their “steps” are saved in the background. At any time these steps can be preserved long-term as a
workflow simply by providing a workflow name and description.

Other contact details:

University of South Dakota

Interests:

Bioinformatics
Data Integration
Scientific Workflows

Field/Industry: Computer Science

Occupation/Role(s): Assistant Professor of Computer Science

Organisation(s):

University of South Dakota

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BioExtract Server Workflow Tutorial

Created: 2009-08-07 16:20:06 | Last updated: 2009-08-07 16:25:46

Credits: Carol Lushbough

License: Creative Commons Attribution-Share Alike 3.0 Unported License

This tutorial demonstrates how to create a workflow within the BioExtract Server at bioextract.org. Specifically, it shows how to perform a phylogenetic analysis on a set of proteins where the starting point is a query for specific nucleotide gene sequences.

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BioExtract Server

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zohim

RNA-Seq workflow with TopHat and Cufflinks... (1)

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An example workflow demonstrating the RNA-seq analysis using Bioextract Server. Differential gene and transcript expression analysis of RNA-seq experiments with TopHat and Cufflinks. (Ref: http://www.nature.com/nprot/journal/v7/n3/full/nprot.2012.016.html).

Created: 2013-11-09 | Last updated: 2014-04-10

Credits: zohim Carol Lushbough Bioextract BioExtract Server for Genomics

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BioExtract Server

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Carol Lushbough

Non-redundant protein alignments (1)

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Execute BLASTP program to search protein databases using a protein query: Input file from iPlant Discovery Environment Save the data extract of similar sequences created by BLASTP Execute XMKNR to a compute a non-redundant set from a large collection of protein sequences. Input from the data extract created by BLASTP. Perform multiple sequence alignments using Clustal Omega and TCoffee Input from data extract created by XMKNR To execute this workflow, you need to be logged into the Bio...

Created: 2012-12-19 | Last updated: 2012-12-19

Credits: Carol Lushbough

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Carol Lushbough

NCBI Protein Clustal Omega Alignment (1)

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Searches NCBI Proteins for a given organism and protein. User VMatch (xmknr) Vmatch, a versatile software tool for efficiently solving large scale sequence matching tasks to remove possible dubplcate and clustal omega to generate a multiple sequence alignment. Clustal Omega is the latest addition to the Clustal family. It offers a significant increase in scalability over previous versions, allowing hundreds of thousands of sequences to be aligned in only a few hours. It will also make u...

Created: 2012-08-31

Credits: Carol Lushbough

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Carol Lushbough

tblastx non-redundant alignment (1)

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This workflow carries out alignments using TCoffee and ClustalW2 for a set of non-redundant proteins where the starting point is a particular genomic coding sequence representing only one member of the gene family in a given species. For the BioExtract Server implementation, the necessary steps for accomplishing this task involve: 1. Selecting the NCBI tblastx tool and providing the accession number of the known nucleotide sequence record as input. 2. The output from ...

Created: 2011-06-30 | Last updated: 2011-07-04

Credits: Carol Lushbough

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Carol Lushbough

Sequence Format Conversion (1)

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Demonstrate the use of the format conversion tool. Converts a DNA sequence in fasta format into plain, genbank, and phylip formats.

Created: 2011-06-28 | Last updated: 2011-06-28

Credits: Carol Lushbough

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Carol Lushbough

Liliopsida Protein Alignment (6)

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This workflow retrieves Liliopsida chloroplast petb gene sequences from NCBI Nucleotide, removes duplicate sequences and saves the results at BioExtract Server. These results are then converted into GenBank format and fed into Fetch Translation, which removes the translation from the CDS coding region. Translations are then used to build a multiple alignment using ClustalW.

Created: 2010-01-13 | Last updated: 2010-11-17

Credits: Carol Lushbough

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Carol Lushbough

Nucleotide InterProScan for the BioExtract... (3)

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This workflow can be downloaded and imported into the BioExtract Server at bioextract.org. This workflow is a BioExtract Server process similar to the Nucleotide InterProScan workflow designed and implement in Taverna by Hamish McWilliams. The InterProScan tool (http://www.ebi.ac.uk/Tools/InterProScan/) searches a protein sequence against a selection of protein domain, feature and family signature databases, and integrates the results giving potential assignments to InterPro entries and Gen...

Created: 2009-04-16 | Last updated: 2009-07-01

Credits: Carol Lushbough Hamish McWilliam

Attributions: Nucleotide_InterProScan

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Carol Lushbough

Phylogeny Bootstrapped Algorithm (2)

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Bootstrapped sequences algorithm reads in a data set, and produces multiple data sets from it by bootstrap resampling. http://pro.genomics.purdue.edu/cgi-bin/emboss/help/fseqboot

Created: 2010-01-13 | Last updated: 2010-11-17

Credits: Carol Lushbough

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BioExtract Server

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Carol Lushbough

Multiple Protein Alignment Profiling(1) (4)

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Designed from an example workflow at Traverna, this workflow retrieves a set of sequences from UniProt, then simultaneously scans for transmembrane regions and performs a multiple alignment using EMMA. The alignment is then plotted to a set of PNG images, followed by a profile analysis using prophecy and prophet tools.

Created: 2010-01-13 | Last updated: 2010-11-17

Credits: Carol Lushbough Alan Williams

Attributions: A workflow version of the EMBOSS tutorial

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