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Title: Arrowland v1.0

Abstract

"Arrowland" is a web-based software application primarily for mapping, integrating and visualizing a variety of metabolism data of living organisms, including but not limited to metabolomics, proteomics, transcriptomics and fluxomics. This software application makes multi-omics data analysis intuitive and interactive. It improves data sharing and communication by enabling users to visualize their omics data using a web browser (on a PC or mobile device). It increases user's productivity by simplifying multi-omics data analysis using well developed maps as a guide. Users using this tool can gain insights into their data sets that would be difficult or even impossible to tease out by looking at raw number, or using their currently existing toolchains to generate static single-use maps. Arrowland helps users save time by visualizing relative changes in different conditions or over time, and helps users to produce more significant insights faster. Preexisting maps decrease the learning curve for beginners in the omics field. Sets of multi-omics data are presented in the browser, as a two-dimensional flowchart resembling a map, with varying levels of detail information, based on the scaling of the map. Users can pan and zoom to explore different maps, compare maps, upload their own research data sets ontomore » desired maps, alter map appearance in ways that facilitate interpretation, visualization and analysis of the given data, and export data, reports and actionable items to help the user initiative.« less

Authors:
; ; ; ;
Publication Date:
Research Org.:
Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States)
Sponsoring Org.:
USDOE
Contributing Org.:
LAWRENCE BERKELEY NATIONAL LABORATORY
OSTI Identifier:
1268114
Report Number(s):
Arrowland; 004852MLTPL00
R&D Project: KP1601050; 2016-102
DOE Contract Number:  
AC02-05CH11231
Resource Type:
Software
Software Revision:
00
Software Package Number:
004852
Software CPU:
MLTPL
Source Code Available:
No
Other Software Info:
LBNL reserves the right to distribute the software
Country of Publication:
United States

Citation Formats

BIRKEL, GARRETT, GARCIA MARTIN, HECTOR, MORRELL, WILLIAM, LIANG, LING, and FORRER, MARK. Arrowland v1.0. Computer software. Vers. 00. USDOE. 13 Jul. 2016. Web.
BIRKEL, GARRETT, GARCIA MARTIN, HECTOR, MORRELL, WILLIAM, LIANG, LING, & FORRER, MARK. (2016, July 13). Arrowland v1.0 (Version 00) [Computer software].
BIRKEL, GARRETT, GARCIA MARTIN, HECTOR, MORRELL, WILLIAM, LIANG, LING, and FORRER, MARK. Arrowland v1.0. Computer software. Version 00. July 13, 2016.
@misc{osti_1268114,
title = {Arrowland v1.0, Version 00},
author = {BIRKEL, GARRETT and GARCIA MARTIN, HECTOR and MORRELL, WILLIAM and LIANG, LING and FORRER, MARK},
abstractNote = {"Arrowland" is a web-based software application primarily for mapping, integrating and visualizing a variety of metabolism data of living organisms, including but not limited to metabolomics, proteomics, transcriptomics and fluxomics. This software application makes multi-omics data analysis intuitive and interactive. It improves data sharing and communication by enabling users to visualize their omics data using a web browser (on a PC or mobile device). It increases user's productivity by simplifying multi-omics data analysis using well developed maps as a guide. Users using this tool can gain insights into their data sets that would be difficult or even impossible to tease out by looking at raw number, or using their currently existing toolchains to generate static single-use maps. Arrowland helps users save time by visualizing relative changes in different conditions or over time, and helps users to produce more significant insights faster. Preexisting maps decrease the learning curve for beginners in the omics field. Sets of multi-omics data are presented in the browser, as a two-dimensional flowchart resembling a map, with varying levels of detail information, based on the scaling of the map. Users can pan and zoom to explore different maps, compare maps, upload their own research data sets onto desired maps, alter map appearance in ways that facilitate interpretation, visualization and analysis of the given data, and export data, reports and actionable items to help the user initiative.},
doi = {},
year = {2016},
month = {7},
note =
}

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