Small BAM files for practising RNA-seq and WES visualization (human)

<p>Two sets of BAM files for teaching RNA-seq and whole exome sequence (WES) visualization.&nbsp;</p> <p>All data was processed from open access SRA datasets.&nbsp;</p> <table> <tbody> <tr> <td>NAME</td> <td>RNA-EMT</td> <td>WES-LUNG</td> </tr> <tr> <td>SOURCE</td> <td>Yang et al. https://doi.org/10.1128/mcb.00019-16, SRA: PRJNA304419</td> <td>Ju et al. https://doi.org/10.1101/gr.133645.111; SRA: ERP001071)</td> </tr> <tr> <td>DESCRIPTION</td> <td>Human RNA-seq BAM files&nbsp;</td> <td>Human WES BAM files: Lung cancer</td> </tr> <tr> <td>SEQUENCING TYPE</td> <td>Illumina paired-end, stranded</td> <td>Illumina paired-end</td> </tr> <tr> <td>METHODS</td> <td>Original data are from cell lines subjected to epthithelium-mesenchymal transition. We took replicates corresponding to Day 0 (uninduced cells) and Day 7 (7 days after induction). Reads were aligned with STAR. BAM files are restricted to chromosome 18. Gene of interest: CDH2, up in mesenchymal state.</td> <td>WES were obtained from tumor and blood tissues from a non small cell lung cancer patient. Reads were aligned with BWA. A fraction of sequences corresponding to a panel of genes were retained. Genes of interest: DUSP27, KRAS</td> </tr> <tr> <td>MAPPED_TO</td> <td>HG19</td> <td>HG19</td> </tr> <tr> <td>SAMPLING RATE</td> <td>0.50%</td> <td>0.10%</td> </tr> <tr> <td>FILE SIZE</td> <td>2*40Mb</td> <td>2*7Mb</td> </tr> </tbody> </table> <div>&nbsp;</div>