Example data for EPIC-CoGe

Example data for EPIC-CoGe is based on the genome of E. coli. These datasets are relatively small

• Fasta file (genome): http://de.iplantcollaborative.org/dl/d/9A58E036-A0C9-4499-9F3D-73F9D2A812EF/genome_7112.faa
• GFF file (structural annotations): http://de.iplantcollaborative.org/dl/d/EA6DCAA5-3791-484F-8725-DC0DB6CACF23/7122-structural-annotations.gff
• VCF file (variation/SNPs): http://de.iplantcollaborative.org/dl/d/03875F31-5D72-4A4C-BFDA-6F82DA026390/7112-demo.vcf.gz
• BAM file (mapped reads): http://de.iplantcollaborative.org/dl/d/6319675C-7FD1-4B83-8D32-1C87AD4EF115/7112-alignment.bam
• CSV file (low density expression data): http://de.iplantcollaborative.org/dl/d/9BD6A843-6316-4C4A-B6D4-60ABA9498D52/7112-lo.csv
• CSV file (high density expression data): http://de.iplantcollaborative.org/dl/d/CEC021DC-777B-41F8-9D1E-30078EE9FEBE/7112-hi.csv

This short video shows how to:

1. Load a genome from a fasta file
2. Load structural annotations from a GFF file
3. Load variation (SNP) data from a vcf file
4. Load mapped reads from a BAM file
5. Load expression data from a CSV file