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Find expression levels of small RNA genes
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Align sequence data from DNA-Seq, ChIP-Seq, RNA-Seq, and Small RNA-Seq experiments
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Identify targets of miRNAs common to multiple databases
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Identify significant SNPs using an intuitive filtering framework
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Visualize billions of reads in the Genome Browser
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Easily download organism annotations in the Annotations Manager
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Find transcription factor binding sites with ChIP-Seq experiments
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Find and filter out reads with poor mapping and alignment qualities
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Determine regulation of gene expression from multiple RNA-Seq samples
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Locate large structural variants in DNA-Seq data
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Find novel splice junctions with RNA-Seq experiments
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Determine genes overlapping in entity lists
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Contextualize biological information with built-in pathways and GO analysis
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DNA-Seq Data Analysis: Local Realignment and Base Quality Score Recalibration: 21 May 2013
