Understanding RNA-Seq Analysis, a Guide for Biologists

Gene profiling is the most widely used genomic technology. As a biologists, do you know how to assess the quality of RNA-Seq data, and make new discoveries on the mechnisms of gene regulation?


Tutorial: From Gene List to Functions

To kick off our series of Genomic Data Mining Tutorials, we provide step-by-step instructions for a very common workflow for array or RNA-Seq data: find genes that changed and identify functions for these genes. http://bioinforx.com/app/data/files/66_List2Function.JPG

Find Tissue-Specific Expression Pattern for Any Gene

Tissue-specific expression pattern can provide important insights regarding gene function. Data sets that cover gene expression across multiple tissues are often dubbed as "gene atlas". Now you can access the most popular public gene atlases within BxGenomicDB easily. Just follow this link to search for any gene and find out the expression pattern across many human and mouse tissues.

Find Correlated Genes in Large Data Sets

When you see a gene showing interesting profile (e.g. nice response curve with drug doses or time courses), you can use the correlation feature in BxGenomicDB to find similar genes or genes that show completely opposite profile.

Online Functional Enrichment Tool

We are glad to introduce a new convenient tool for researchers. This web-based tool will help you identify what functional categories are over-represented in a gene list. With one click, the tool will perform enrichment analysis on a variety of categories including function, localization, pathways, protein domains, etc.

Search and Filter Genes in Genomic Data

Interested in viewing the results for a subset of genes in your genomic data set? It is easy to search for genes with differentially expression, genes from a pathway, or any other genes of interest with BxGenomicDB.


Review ChIP-Seq Data using IGV

ChIP Peaks  Integrative Genomics Viewer (IGV) is adopted by many researchers working with next-gen sequencing data due to its speed and capability to handle large data sets. BxChIPSeq provides output files (TDF file for sequence coverage, bed file for peaks) that can be loaded into IGV.