dChip is a super handy application made just for probe-level analysis, like what you get with the Affymetrix platform, and it's also great for high-level gene expression microarrays and SNP microarrays.
With dChip, you can dive into gene expression or SNP data from different microarray platforms. It's easy to import your data as an external dataset. When you're working at the probe level, dChip lets you display and normalize CEL files effortlessly. Plus, its model-based approach is really smart—it pulls together info from multiple arrays and automatically picks the best probes to deal with issues like cross-hybridization and image contamination.
When it comes to high-level analysis in dChip, the options are pretty cool! You can compare samples side by side, use hierarchical clustering to see how they stack up against each other, and view both expression and SNP data along chromosomes. There's also LOH (Loss of Heterozygosity) analysis and copy number analysis for SNP arrays. And if that wasn't enough, there's even linkage analysis!
The best part? All this functionality correlates your gene information with sample info right alongside your results. This makes it way easier to understand what the data is telling you!
If you're looking for a reliable tool for gene expression analysis, download dChip today! It packs a punch when it comes to analyzing microarray data.
Go to the Softpas website, press the 'Downloads' button, and pick the app you want to download and install—easy and fast!
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