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Photo by Rhoda Baer
Researchers say they have developed a user-friendly platform for analyzing transcriptomic and epigenomic sequencing data.
This platform, BioWardrobe, was designed to help biomedical researchers analyze data that might answer questions about diseases and basic biology.
“Although biologists can perform experiments and obtain the data, they often lack the programming expertise required to perform computational data analysis,” said Artem Barski, PhD, of the University of Cincinnati in Ohio.
“BioWardrobe aims to empower researchers by bridging this gap between data and knowledge.”
Dr Barski and Andrey Kartashov, also of the University of Cincinnati, described BioWardrobe in Genome Biology.
The pair said the recent proliferation of sequencing-based methods for analysis of gene expression, chromatin structure, and protein-DNA interactions has widened our horizons, but the volume of data obtained from sequencing requires computational data analysis.
Unfortunately, the bioinformatics and programming expertise required for this analysis may be absent in biomedical laboratories. And this can result in data inaccessibility or delays in applying modern sequencing-based technologies to pressing questions in basic and health-related research.
Dr Barski and Kartashov believe BioWardrobe can solve those problems by providing a “biologist-friendly” web interface.
BioWardrobe users can download data from institutional facilities or public databases, map reads, and visualize results on a genome browser. The platform also allows for differential gene expression and binding analysis, and it can create average tag-density profiles and heatmaps.
Dr Barski and Kartashov plan to continue improving BioWardrobe and continue using the platform in their own research on epigenetic regulation in the immune system, as well as in collaborative projects with other investigators. 
Photo by Rhoda Baer
Researchers say they have developed a user-friendly platform for analyzing transcriptomic and epigenomic sequencing data.
This platform, BioWardrobe, was designed to help biomedical researchers analyze data that might answer questions about diseases and basic biology.
“Although biologists can perform experiments and obtain the data, they often lack the programming expertise required to perform computational data analysis,” said Artem Barski, PhD, of the University of Cincinnati in Ohio.
“BioWardrobe aims to empower researchers by bridging this gap between data and knowledge.”
Dr Barski and Andrey Kartashov, also of the University of Cincinnati, described BioWardrobe in Genome Biology.
The pair said the recent proliferation of sequencing-based methods for analysis of gene expression, chromatin structure, and protein-DNA interactions has widened our horizons, but the volume of data obtained from sequencing requires computational data analysis.
Unfortunately, the bioinformatics and programming expertise required for this analysis may be absent in biomedical laboratories. And this can result in data inaccessibility or delays in applying modern sequencing-based technologies to pressing questions in basic and health-related research.
Dr Barski and Kartashov believe BioWardrobe can solve those problems by providing a “biologist-friendly” web interface.
BioWardrobe users can download data from institutional facilities or public databases, map reads, and visualize results on a genome browser. The platform also allows for differential gene expression and binding analysis, and it can create average tag-density profiles and heatmaps.
Dr Barski and Kartashov plan to continue improving BioWardrobe and continue using the platform in their own research on epigenetic regulation in the immune system, as well as in collaborative projects with other investigators.
Photo by Rhoda Baer
Researchers say they have developed a user-friendly platform for analyzing transcriptomic and epigenomic sequencing data.
This platform, BioWardrobe, was designed to help biomedical researchers analyze data that might answer questions about diseases and basic biology.
“Although biologists can perform experiments and obtain the data, they often lack the programming expertise required to perform computational data analysis,” said Artem Barski, PhD, of the University of Cincinnati in Ohio.
“BioWardrobe aims to empower researchers by bridging this gap between data and knowledge.”
Dr Barski and Andrey Kartashov, also of the University of Cincinnati, described BioWardrobe in Genome Biology.
The pair said the recent proliferation of sequencing-based methods for analysis of gene expression, chromatin structure, and protein-DNA interactions has widened our horizons, but the volume of data obtained from sequencing requires computational data analysis.
Unfortunately, the bioinformatics and programming expertise required for this analysis may be absent in biomedical laboratories. And this can result in data inaccessibility or delays in applying modern sequencing-based technologies to pressing questions in basic and health-related research.
Dr Barski and Kartashov believe BioWardrobe can solve those problems by providing a “biologist-friendly” web interface.
BioWardrobe users can download data from institutional facilities or public databases, map reads, and visualize results on a genome browser. The platform also allows for differential gene expression and binding analysis, and it can create average tag-density profiles and heatmaps.
Dr Barski and Kartashov plan to continue improving BioWardrobe and continue using the platform in their own research on epigenetic regulation in the immune system, as well as in collaborative projects with other investigators.