DChip analyzer is a software program that helps in analyzing microdata as well as other upscale level of data analysis processes. Pooled micro data array can be extensively analyzed by a DChip analyzer to help in data analysis and can be made available even by downloading.
By arranging data into a multiple array everything becomes searchable and easily analyzed. And since these are organized already it will be easy to spot errors, undertake probe analysis, do comparative data analyses with reduced errors in view of image contamination and cross-hybridizing process.
The software used for DChip Analyzer can be downloaded over the internet together with the gene information files therein. All these can be stored into a computer or laptop’s local directory for easy access and processing of data. Download it here.
Usually, the first step in installing the software is to double click the DChip Analyzer’s program icon, and run the installation process just like any software that has been downloaded over the World Wide Web. It will also greatly help if the manual for the DChip Analyzzer is carefully read and analysed so that one can be familiar about the DChip processes.
The DChip analysis software can run even on Windows 95 and 98 versions but some functionalities however may be disabled such as image zoom as well as image saving. The users must bear in mind as well that the number of DChip data that a user can analyze will depend on the memory of the computer and available disc space. For instance, if 120 DChips are to be analysed and processed, an equivalent 120M memory is also needed in order to carry out the whole task.
Should the user encounter any problem or concern in using the DChip analysis software then questions, inquiries and concerns may be posted on a dedicated Yahoo Group. Bug reports can meanwhile be reported to Cheng Li (firstname.lastname@example.org) so that such data and concern can be appropriately addressed and be used to improve the over-all functionality of the DChip program software. When sending bug reports or concerns, it will be great if a screen shot of error messages, as well as other problems encountered are attached to the email message.
In terms of designing micro experiments, the software program developer is suggesting randomized and replicated samples. Randomization of Samples is encouraged so as to minimize experimental variations with only one person handling the samples per micro array experiment. Replicating samples also lessens experimental variation, an expression level can be better derived and analyzed.
Likewise, there should be appropriate quality control processes that have to be undertaken before analyzing and processing data for variation purposes. Filtering is important in ensuring accurate data analyses. These include the filtering of flagged data, filtering of noisy replicated data or replicates, and then the filtering of non-significant genes.
Usually after the filtering processes, statistical analysis then takes place. Such process provides a critical step in identifying genes accurately. Clustering is also being carried out to identify genes appropriately at statistically-acceptable levels. Hierarchical Clustering may also be carried out so that homogenous data clusters can also be identified.