TableButler - a Windows based tool for processing large data tables generated with high-throughput methods.

Schwager, Christian.
Wirkner, Ute.
Abdollahi, Amir.
Huber, Peter E.
2009

Background: High-throughput "omics" based data analysis play emerging roles in life sciences and molecular diagnostics. This emphasizes the urgent need for user-friendly windows-based software interfaces that could process the diversity of large tab-delimited raw data files generated by these methods. Depending on the study, dozens to hun... read more

Permanent URL
http://hdl.handle.net/10427/010202
Original publication
Schwager, Christian, Ute Wirkner, Amir Abdollahi, and Peter E. Huber. "TableButler - a Windows based tool for processing large data tables generated with high-throughput methods." BMC Bioinformatics 10, no. 1 (12, 2009): 1-9.
ID: tufts:17306
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