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printed by www.postersession.com Tracking High-Performance Biosequence Clustering Jobs Using Common Web Interfaces Contemporary methods have allowed for the study of complex bacterial populations, such as 16S rRNA, directly from environmental or clinical samples. Alignment of data sets of 100,000+ sequences is necessary to identify potential gene clusters and families. Consequently, there is a demand for accurate and effective software systems and algorithms to conduct analysis. My mission was to create a simple, yet efficient webpage that will track computational jobs on several platforms and catalog results. To complete this task, I used Hyper-Text Markup Language (HTML) and Cascading Style Sheets (CSS) as my primary resources. HTML permitted me to format and display documents on the web, while CSS will allowed me to brand the work of this particular lab and maintain a common, coherent web look. Abstract Methodology Results User can create and display a new entry. Future Goals This research was made possible by Acknowledgements (1) Create a Cascading Style Sheet • Create style elements that will be used repetitively User can easily track computational jobs on a wide variety of platforms. (4) Abstract all style elements into CSS using custom IDs or classes (3) Create a Webpage that will track current job information (2) Create a Data Entry webpage using HTML • Must allow user to create a new entry • Must require certain information pertaining to job Franshetta Hibbler, Mississippi Valley State University Mentor: Adam Hughes , Indiana University (1)Apply CSS design to existing site (2) Give users a way to edit existing entries (3) Tie webpages to a database that would store information http://www-lmmb.ncifcrf.gov/~bshapiro/images/ molecularDynamics/movie.gif Contact Information Franshetta S. Hibbler BS Computer Science, Dec 2013 Mississippi Valley State University MVSU #5656 14000 Hwy 82W Itta Bena, MS 38941 [email protected] [email protected] cell: (662)392-1703

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Tracking High-Performance Biosequence Clustering Jobs Using Common Web Interfaces. Franshetta Hibbler, Mississippi Valley State University Mentor: Adam Hughes , Indiana University. Abstract. Results. - PowerPoint PPT Presentation

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Page 1: Tracking High-Performance Biosequence Clustering Jobs Using Common Web Interfaces

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Tracking High-Performance Biosequence Clustering Jobs Using Common Web Interfaces

Contemporary methods have allowed for the study of complex bacterial populations, such as 16S rRNA, directly from environmental or clinical samples. Alignment of data sets of 100,000+ sequences is necessary to identify potential gene clusters and families. Consequently, there is a demand for accurate and effective software systems and algorithms to conduct analysis. My mission was to create a simple, yet efficient webpage that will track computational jobs on several platforms and catalog results. To complete this task, I used Hyper-Text Markup Language (HTML) and Cascading Style Sheets (CSS) as my primary resources. HTML permitted me to format and display documents on the web, while CSS will allowed me to brand the work of this particular lab and maintain a common, coherent web look.

Abstract

Methodology

Results

User can create and display a new entry.

Future Goals

This research was made possible by

Acknowledgements

(1) Create a Cascading Style Sheet• Create style elements that will be used repetitively

User can easily track computational jobs on a wide variety of platforms.

(4) Abstract all style elements into CSS using custom IDs or classes

(3) Create a Webpage that will track current job information

(2) Create a Data Entry webpage using HTML• Must allow user to create a new entry• Must require certain information pertaining to job

Franshetta Hibbler, Mississippi Valley State UniversityMentor: Adam Hughes , Indiana University

(1)Apply CSS design to existing site(2) Give users a way to edit existing

entries(3) Tie webpages to a database that

would store information

http://www-lmmb.ncifcrf.gov/~bshapiro/images/molecularDynamics/movie.gif

Contact Information

Franshetta S. HibblerBS Computer Science, Dec 2013

Mississippi Valley State UniversityMVSU #5656

14000 Hwy 82WItta Bena, MS 38941

[email protected]@gmail.com

cell: (662)392-1703

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