This is the Windows app named High-Throughput Tabular Data Processor to run in Windows online over Linux online whose latest release can be downloaded as HTDP.tar.gz. It can be run online in the free hosting provider OnWorks for workstations.
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- 7. Download Wine from your Linux distributions software repositories. Once installed, you can then double-click the app to run them with Wine. You can also try PlayOnLinux, a fancy interface over Wine that will help you install popular Windows programs and games.
Wine is a way to run Windows software on Linux, but with no Windows required. Wine is an open-source Windows compatibility layer that can run Windows programs directly on any Linux desktop. Essentially, Wine is trying to re-implement enough of Windows from scratch so that it can run all those Windows applications without actually needing Windows.
SCREENSHOTS
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High-Throughput Tabular Data Processor to run in Windows online over Linux online
DESCRIPTION
HIGH-THROUGHPUT TABULAR DATA PROCESSOR (HTDP) is Java application that is intended to facilitate data exploration and reduction tasks in large text files resulting from high throughput technologies, e.g. massively parallel sequencing or microarrays. The software has been optimized for microarray and deep parallel sequencing data, however it can accept any character delimited tabular data sets. HTDP can also import, process and convert Variant Call Format (VCF) files ver. 4.0, 4.1 and 4.2 (http://samtools.github.io/hts-specs/VCFv4.2.pdf).HTDP provides quick filtering functionality and can process data consisting of single or multiple input files.
Citation: Madanecki P, Bałut M, Buckley PG, Ochocka JR, Bartoszewski R, Crossman DK, et al. (2018) High-Throughput Tabular Data Processor – Platform independent graphical tool for processing large data sets. PLoS ONE 13(2): e0192858. https://doi.org/10.1371/journal.pone.0192858
Features
- works on any character-delimited column data (e.g. BED, GFF, GTF, WIG, VCF)
- merge tabular data files vertically and horizontally
- merge any tabular data files using genome location or common column(s)
- unlimited filtering and data reduction capabilities
- different files with regards to format and content can be analyzed at the same time
Programming Language
Java
This is an application that can also be fetched from https://sourceforge.net/projects/htdp/. It has been hosted in OnWorks in order to be run online in an easiest way from one of our free Operative Systems.
