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Fig. 1 | Biology Direct

Fig. 1

From: Experiences with workflows for automating data-intensive bioinformatics

Fig. 1

Visual representation of a user-made ChIP-seq data analysis workflow in the Chipster software. After detecting STAT1 binding regions in the genome, the user has filtered the resulting peaks for q-value, length and peak hight. S/he has then looked for common sequence motifs in the peaks and matched them against a transcription factor binding site database. S/he has also retrieved the closest genes to the peaks and performed pathway enrichment analysis for them. Finally, s/he has checked if the enriched pathways contain the STAT signaling pathway. All these downstream analysis steps can be saved as an automatic workflow, which can be shared and executed on another dataset. In addition to analysing data and building workflows, Chipster allows users to visualize data interactively. As an example, genome browser visualization is shown (bottom right panel)

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