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

High-throughput technologies generate considerable amount of data which often requires bioinformatic expertise to analyze. Here we 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, W...

Celý popis

Uloženo v:

Podrobná bibliografie
Vydáno v:	PloS one Ročník 13; číslo 2; s. e0192858
Hlavní autoři:	Madanecki, Piotr, Bałut, Magdalena, Buckley, Patrick G., Ochocka, J. Renata, Bartoszewski, Rafał, Crossman, David K., Messiaen, Ludwine M., Piotrowski, Arkadiusz
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	United States Public Library of Science 12.02.2018 Public Library of Science (PLoS)
Témata:	Bioinformatics Biology Biology and Life Sciences Computational biology Computer and Information Sciences Computer programs Consortia Data analysis Data processing Datasets Deoxyribonucleic acid DNA Experiments Filtration Flexibility Freeware Genetics Genomes Graphical user interface Java (programming language) Laboratories Microprocessors Open source software Pharmaceuticals Pipelining (computers) Research and Analysis Methods Software reviews Tables (data) Task complexity Technology application User interface Poland Alabama United States > US
ISSN:	1932-6203, 1932-6203
On-line přístup:	Získat plný text
Tagy:	Přidat tag Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!

Buďte první, kdo okomentuje tento záznam!