Automating dChip: toward reproducible sharing of microarray data analysis |
| |
Authors: | Cheng Li |
| |
Institution: | (1) Department of Biostatistics and Computational Biology, Department of Biostatistics, Dana-Farber Cancer Institute. Harvard School of Public Health, 44 Binney St., Boston, MA 02115, USA |
| |
Abstract: | Background During the past decade, many software packages have been developed for analysis and visualization of various types of microarrays.
We have developed and maintained the widely used dChip as a microarray analysis software package accessible to both biologist
and data analysts. However, challenges arise when dChip users want to analyze large number of arrays automatically and share
data analysis procedures and parameters. Improvement is also needed when the dChip user support team tries to identify the
causes of reported analysis errors or bugs from users. |
| |
Keywords: | |
本文献已被 SpringerLink 等数据库收录! |
|