Understanding your NGS workflow

No — I don't work with genomic data that way

Yes, regularly — comparing across experiment types is central to how I work

Sometimes — when a specific question calls for it

Rarely — I usually look at one experiment type at a time

No — I only ever look at a single file or track

I pointed it to files on a server or cloud storage

A bit of everything — I used a mix of local files and remote tracks

Yes — I always normalise or scale before looking

Sometimes — depends on what I'm comparing

No — I interpret them as-is and account for it later

No — I don't really compare signal levels across tracks

Essential — comparing overlaps is central to how I form hypotheses

Important — I do it regularly but it's not always the focus

Somewhat — I notice overlaps but don't always act on them

Not really — I mostly look at one dataset at a time

Yes, regularly — it's central to how I interpret my data

Rarely — I mostly look at one locus at a time

Never — I don't think about my data that way

Always — it's a core part of how I work

Often — I do it regularly but not every time

Sometimes — when a specific question comes up

Yes, all the time — it's a regular part of how I communicate findings

Rarely — I mostly describe things verbally or in writing instead

Almost always — I often have no idea where I am

Often — I know some loci better than others