▁for ▁data ▁processing ▁and ▁quality ▁control , ▁prompt ed ▁ep igen ome ▁prediction ▁studies ▁as ▁a ▁means ▁of ▁understanding ▁the ▁genom ic ▁distribution ▁of ▁ep igen etic ▁information , ▁and ▁provided ▁the ▁foundation ▁for ▁initial ▁projects ▁on ▁cancer ▁ep igen et ics . ▁While ▁these ▁topics ▁will ▁continue ▁to ▁be ▁major ▁areas ▁of ▁research ▁and ▁the ▁mere ▁quantity ▁of ▁ep igen etic ▁data ▁ar ising ▁from ▁ep igen ome ▁projects ▁pos es ▁a ▁significant ▁bio in form atic ▁challenge , ▁several ▁additional ▁topics ▁are ▁currently ▁emer ging . ▁ ▁Ep igen etic ▁regul atory ▁circuit ry : ▁Re verse ▁engineering ▁the ▁regul atory ▁networks ▁that ▁read , ▁write ▁and ▁execute ▁ep igen etic ▁codes . ▁ ▁Population ▁ep igen et ics : ▁Dist illing ▁regul atory ▁mechan isms ▁from ▁the ▁integration ▁of ▁ep igen ome ▁data ▁with ▁gene ▁expression ▁profiles ▁and ▁ha plot ype ▁maps ▁for ▁a ▁large ▁sample ▁from ▁a ▁heter ogeneous ▁population . ▁E volution ary ▁ep igen et ics : ▁Learning ▁about ▁ep igen ome ▁reg ulation ▁in ▁human ▁( and ▁its ▁medical ▁consequences ) ▁by ▁cross - species ▁compar isons . ▁ ▁The oret ical ▁model ing : ▁Test ing ▁our ▁mechan istic ▁and ▁quant itative ▁understanding ▁of ▁ep igen etic ▁mechan isms ▁by ▁in ▁sil ico ▁simulation . ▁ ▁Gen ome ▁browsers : ▁Develop ing ▁a ▁new ▁bl end ▁of ▁web ▁services ▁that ▁enable ▁bi olog ists ▁to ▁perform ▁s oph istic ated ▁gen ome ▁and ▁ep igen ome ▁analysis ▁within ▁an ▁easy - to - use ▁gen