High-Throughput Tabular Data Processor – Platform independent graphical tool for processing large data sets

Publishing date: 2018-02-12

Published on: PLOS ONE

summary: High-throughput technologies generate considerable amount of data which often requires bioinformatic expertise to analyze. Here, Ptior Madanecki et al present High-Throughput Tabular Data Processor (HTDP), a platform independent Java program. HTDP works on any character-delimited column data (e.g. BED, GFF, GTF, PSL, WIG, VCF) from multiple text files and supports merging, filtering and converting of data that is produced in the course of high-throughput experiments.

authors: Piotr Madanecki, Magdalena Bałut, Patrick G. Buckley, J. Renata Ochocka, Rafał Bartoszewski, David K. Crossman, Ludwine M. Messiaen, Arkadiusz Piotrowski

link to paper: 10.1371/journal.pone.0192858

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