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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
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