▁discussion ▁of ▁integration ▁of ▁trans cription ▁factor ▁prediction ▁pip elines , ▁such ▁as ▁DB D ▁or ▁fly TF , ▁which ▁have ▁been ▁supp lement ed ▁with ▁manual ▁c uration ▁versus ▁sole ly ▁manual ▁cur ated ▁implementations ▁like ▁T F cat . ▁ ▁Marc ▁Half on , ▁University ▁at ▁Buff alo , ▁led ▁a ▁break out ▁session ▁to ▁improve ▁the ▁Se quence ▁Ont ology ▁from ▁existing ▁O Reg An no ▁and ▁R ED fly ▁database ▁convent ions ▁within ▁the ▁framework ▁being ▁developed ▁as ▁part ▁of ▁the ▁Open ▁Bi omed ical ▁Ont ologies . ▁ ▁A ▁pre lim inary ▁version ▁of ▁these ▁improvements ▁can ▁be ▁found ▁on ▁the ▁O Reg An no ▁w iki . ▁ ▁Learning - based ▁ont ology ▁development ▁was ▁widely ▁regarded ▁as ▁an ▁essential ▁feature ▁of ▁the ▁annotation ▁process . ▁ ▁Such ▁that , ▁annot ators ▁are ▁not ▁restricted ▁from ▁annot ating ▁based ▁on ▁the ▁limitations ▁of ▁the ▁controlled ▁voc ab ul ary ▁and ▁that ▁these ▁exceptions ▁can ▁be ▁used ▁to ▁further ▁develop ▁the ▁back bone ▁ont ologies . ▁ ▁Ont ology ▁development ▁should ▁be ▁decent ral ized ▁from ▁the ▁O Reg An no ▁annotation ▁framework . ▁ ▁Specifically , ▁it ▁is ▁planned ▁that ▁the ▁O Reg An no ▁evidence ▁ont ology ▁will ▁be ▁removed ▁and ▁made ▁available ▁to ▁bro ader ▁community ▁development . ▁ ▁Ren ew ed ▁focus ▁on ▁integr ating ▁species - specific ▁resources ▁with ▁annotation ▁framework . ▁ ▁A ▁specific ▁focus ▁of ▁the ▁work shop ▁was ▁address ing ▁the ▁role ▁of ▁text - min ing ▁in ▁facil it