Litaba

Ha re hetla morao selemong sa 2024, BMKGENE e nahana ka leeto le tsotehang la boqapi, tsoelo-pele, le boinehelo bo sa thekeseleng ho sechaba sa mahlale. Ka mohato o mong le o mong oo re o fihletseng, re 'nile ra tsoela pele ho sutumelletsa meeli ea se ka khonehang, ho matlafatsa bafuputsi, mekhatlo le lik'hamphani lefatšeng ka bophara ho finyella ho feta. Leeto la rona ke la kholo, tšebelisano 'moho, le pono e arolelanoang ea bokamoso moo mahlale le theknoloji li kopanang ho theha tšusumetso e tšoarellang.

Liphihlello tsa R&D tse Hlollang

Bohareng ba katleho ea BMKGENE ka 2024 ke boitlamo ba rona ba ho etsa lipatlisiso le nts'etsopele ea maemo a holimo. Selemong sena, re phatlalalitse lihlahisoa tse peli tse ncha tse seng li ntse li fetola sebopeho sa bioinformatics. Tsepamiso ea rona ea boqapi e boetse e lebisitse ntlafatsong e kholo ho lihlahisoa tse fetang 10 tse seng li ntse li le teng, ho netefatsa hore bareki ba rona ba rua molemo tšebetsong e potlakileng, e bonolo le lits'ebeletso tse ntlafalitsoeng tsa motho ka mong.

Har'a lintlha-khōlō tsa likatleho tsa rona tsa R&D ke tokollo eaSetšoantšo sa BMKMANU S3000, nts'etsopele e makatsang e eketsang libaka tse hapiloeng habeli ho fihla ho limilione tse 4 tse khahlang. Tsoelo-pele ena e ntlafatsa haholo ts'ebetso ea chip, e nolofalletsa bafuputsi ho fihlela lintlha tse nepahetseng le tse tebileng haholoanyane. Ho feta moo, theMedian-UMIe eketsehile ho tloha ho 30% ho ea ho 70%, ha a ntse aLiphatsa tsa lefutso tsa Mediane eketsehile ho tloha ho 30% ho ea ho 60%, ho ntlafatsa le ho feta ho nepahala le katleho ea litharollo tsa rona. Lintlafatso tsena li fa bafuputsi lintlha tse matla haholoanyane, li ba fa matla a ho etsa liqeto tse potlakileng, tse nang le tsebo mosebetsing oa bona.

Ho tlatsana le likhatelopele tsena tsa sehlahisoa, re boetse re hlahisitselits'ebetso tse tšeletseng tse ncha tsa bioinformaticse fanang ka boiphihlelo bo bobebe, bo hlakileng haholoanyane ba basebelisi, hammoho le bokhoni bo matlafalitsoeng ba tlhahlobo ea data le pono. Lisebelisoa tsena li etselitsoe ho nolofatsa mesebetsi e rarahaneng le ho fa bafuputsi litharollo tsa motho ka mong tse fihlelang litlhoko tsa bona tse ikhethileng, tse tsamaisang litšibollo tsa mahlale tse sebetsang hantle le tse nang le tšusumetso.

Ho Finyella Lefatšeng ka Bophara: Ho Atolosa Litšebeletso Tsa Rōna Lefatšeng ka Bophara

Ka 2023, litšebeletso tsa BMKGENE li fihlile linaheng tse 80+, e leng bopaki ba boitlamo ba rona ba ho fana ka litharollo tse ncha lefatšeng ka bophara. Ha re leba 2024, re ekelitse mehato ea rona le ho feta, re sebeletsa hona joaleLinaha tse 100+, ka tharollo ea rona e sebelisoang kelitsi tse fetang 800leLik'hamphani tse fetang 200lefatshe ka bophara. Katoloso ya rona e bontsha tlhokahalo e ntseng e hola ya dihlahiswa le ditshebeletso tsa rona, mme re motlotlo ho tshehetsa mosebetsi wa bafuputsi, boramahlale, le mekgatlo e sebetsanang le mathata a mang a lefatshe.

E le karolo ea leano la rona la lefats'e, re boetse re thehile tse nchaLi laboratori tsa UK le US, ho re atametsa haufi le bareki ba rona le ho netefatsa hore re ka fana ka litšebeletso tsa lehae, tsa boleng bo holimo. Li-laboratory tsena tse ncha li re lumella ho matlafatsa litšebelisano tsa rona le bafuputsi le mekhatlo mebarakeng ea bohlokoa, ho fana ka linako tse potlakileng tsa karabelo, tšehetso e lokiselitsoeng, le litharollo tsa morao-rao tse tsamaisang boqapi pele.

Ho Matlafatsa Tšusumetso ea Rōna: Ho Sebeletsa Sechaba sa Mahlale

Ho BMKGENE, re lumela matleng a tšebelisano. Selemong sena, re bile motlotlo ho kenya letsoho katlehong ea tse fetangLipampiri tse 500 tse hatisitsoeng, e bonts'ang tšusumetso ea lefatše ea sebele ea lihlahisoa le litšebeletso tsa rona ho ntlafatseng lipatlisiso tsa saense. Ka afactor factor (IF) ea 6700+, mosebetsi oa rona o tsoela pele ho bopa bokamoso ba bioinformatics le saense ea bophelo, ho nolofalletsa bafuputsi ho bula lintlha tse ncha le ho potlakisa seo ba se sibolotseng.

BMKGENE e le karolo ea boiteko bo tsoelang pele ba ho khothaletsa boqapi le ho arolelana tsebo, BMKGENE e nkile karolo ka mafolofoloLikopano tse 20 tsa lefats'e, 10+ lithupelo, 15+ lipontšo tsa litsela, le20+ li-webinars tsa marang-rang. Liketsahalo tsena li re file menyetla ea bohlokoa ea ho sebelisana le sechaba sa mahlale a lefats'e, ho arolelana lintlafatso tsa rona tsa morao-rao, le ho sebelisana le litsebi tse nang le kelello e ts'oanang tse nang le tjantjello e ts'oanang ea ho sututsa meeli ea mahlale le theknoloji.

Sehlopha se Matla bakeng sa Bokamoso bo Matla

Khatelo-pele ea rona ka 2024 hape ke sesupo sa matla le talenta ea sehlopha sa rona. Selemong sena, re amohetse13 litho tse nchamokhatlong oa rona, ho tlisa maikutlo a macha le boiphihlelo bo tla re thusa ho tsoela pele ho qapa le ho fihlela litlhoko tse ntseng li tsoela pele tsa bareki ba rona. Re ikemiseditse ho aha sehlopha sa mefuta e fapaneng, se nang le talente, le se khannoang, re kopane morerong oa rona oa ho ba le tšusumetso e ntle lefatšeng la mahlale le thekenoloji.

Re Sheba Pele: Bokamoso ba BMKGENE

Ha re ntse re nahana ka likatleho tsa rona tsa 2024, re thabile ho feta pele ka bokamoso. Ka potefolio ea rona ea lihlahisoa tse atolositsoeng, phihlello ea lefats'e, le sehlopha se matla, re mothating oa ho ntšetsa pele leeto la rona la boqapi le tsoelopele. Re ntse re ikemiselitse ho ntšetsa pele lefapha la bioinformatics le saense ea bophelo, re sebetsa 'moho le balekane ba rona le bareki ho thusa ho theha bokamoso bo khanyang, bo hokahaneng haholoanyane.

Tsela e larileng ka pele e tletse menyetla, ’me re thabile ho ntšetsa pele morero oa rōna oa ho nolofalletsa litšibollo tsa saense tse nang le matla a ho fetola lefatše. Ho BMKGENE, ha re shebe bokamoso feela - re ntse re bo bopa ka mafolofolo, boqapi bo le bong ka nako.

Qetello

Ka selemo sa 2024, BMKGENE ha e so tšoaee feela likatleho tse kholo empa hape e thehile methati bakeng sa mehato e meholo le ho feta lilemong tse tlang. Ka tsoelo-pele e kholo ho R&D, boteng bo atolositsoeng lefatšeng ka bophara, le sehlopha se inehetseng sa litsebi, re ikemiselitse ho feta leha e le neng pele ho etella pele lithutong tsa bioinformatics le saense ea bophelo. Re leboha balekane bohle ba rona, bareki le litho tsa sehlopha bakeng sa ts'epo le ts'ehetso ea hau e tsoelang pele. Mmoho, re tla tswela pele ho qapa, ho hatela pele, le ho bopa bokamoso bo ka pele.

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