Fig. 4: Summary of MLV Workflow.

Initially a BED or BED-like file of genome locations is uploaded, which can be visualised via a spreadsheet, browser and various interactive graphs. A number of analyses can also be carried out on the uploaded locations in order to further explore the data. These include calculating distances from genomic objects such as TSSs, overlap with genomic features, calculating signal data at each location from bigWig e.g. ChIP or ATAC-seq and dimensionality reduction values, to produce interactive t-SNE¹⁷ or UMAP¹⁶ representations of the data. To aid interpretation, genome tracks of other datasets and dynamic graphs can be added and browser images for each location can be generated, which can be viewed in a table format. The analysis can be downloaded as csv/tab delimited text or shared/made public via a URL. A collection can also be created in the analysis software Zegami for further interrogation of the data.