TY - GEN
T1 - Invis
T2 - 3rd IEEE Symposium on Biological Data Visualization, BioVis 2013
AU - Demiralp, Çaǧatay
AU - Hayden, Eric
AU - Hammerbacher, Jeff
AU - Heer, Jeffrey
PY - 2013
Y1 - 2013
N2 - In vitro selection and evolution is a powerful method for discovering RNA molecules based on their binding and catalysis properties. It has important applications to the study of genetic variation and molecular evolution. However, the resulting RNA sequences form a large, high-dimensional space and biologists lack adequate tools to explore and interpret these sequences. We present invis, the first visual analysis tool to facilitate exploration of in vitro selection sequence spaces. invis introduces a novel configuration of coordinated views that enables simultaneous inspection of global projections of sequence data alongside local regions of selected dimensions and sequence clusters. It allows scientists to isolate related sequences for further data analysis, compare sequence populations over varying conditions, filter sequences based on their similarities, and visualize likely pathways of genetic evolution. User feedback indicates that invis enables effective exploration of in vitro RNA selection sequences.
AB - In vitro selection and evolution is a powerful method for discovering RNA molecules based on their binding and catalysis properties. It has important applications to the study of genetic variation and molecular evolution. However, the resulting RNA sequences form a large, high-dimensional space and biologists lack adequate tools to explore and interpret these sequences. We present invis, the first visual analysis tool to facilitate exploration of in vitro selection sequence spaces. invis introduces a novel configuration of coordinated views that enables simultaneous inspection of global projections of sequence data alongside local regions of selected dimensions and sequence clusters. It allows scientists to isolate related sequences for further data analysis, compare sequence populations over varying conditions, filter sequences based on their similarities, and visualize likely pathways of genetic evolution. User feedback indicates that invis enables effective exploration of in vitro RNA selection sequences.
KW - J.3 [Computer Applications]: Life and Medical Sciences-Biology and Genetics
UR - http://www.scopus.com/inward/record.url?scp=84892659924&partnerID=8YFLogxK
U2 - 10.1109/BioVis.2013.6664340
DO - 10.1109/BioVis.2013.6664340
M3 - Conference contribution
AN - SCOPUS:84892659924
SN - 9781479916580
T3 - BioVis 2013 - IEEE Symposium on Biological Data Visualization 2013, Proceedings
SP - 1
EP - 8
BT - BioVis 2013 - IEEE Symposium on Biological Data Visualization 2013, Proceedings
PB - IEEE Computer Society
Y2 - 13 October 2013 through 14 October 2013
ER -