Webosaete ea Marang-rang e etsa lipatlisiso le nts'etsopele ho: "The Foundations of Computer Science, Computational Life Sciences, le Bioinformatics" haholo-holo ka: "security, mekhoa e hlophisitsoeng, computational modelling, theory, and simulation".
Webosaete ea Marang-rang e na le litsebo tsa lihlahisoa tsa tekheniki bakeng sa "Metheo ea Saense ea Khomphutha, Saense ea Bophelo ea Khomphutha, le Bioinformatics" haholo-holo mabapi le: "tšireletseho, mekhoa e hlophisitsoeng, mohlala oa khomphutha, theory, le ketsiso", le Webosaete ea Marang-rang e na le boiphihlelo ba ho utloisisa lits'ebetso tsa khoebo ho theha software e ikhethileng e leng modular ho "Metheo ea Saense ea Khomphutha, Lisaense tsa Bophelo ba Khomphutha, le Bioinformatics" mme haholoholo ka: "ts'ireletso, mekhoa e hlophisitsoeng, mohlala oa computational, theory, and simulation".
Webosaete ea Marang-rang e na le litsebo tsa sehlahisoa sa botekgeniki "Metheo ea Saense ea Khomphutha, Lisaense tsa Bophelo ba Khomphutha, le Bioinformatics" haholo-holo ka: "tšireletseho, mekhoa ea semmuso, computational modeling, theory, and simulation" le ho fetisetsa setso sa khoebo mme ka holim'a tsohle boiphihlelo ba phetisetso.
Metheo ea Mahlale a Khomphutha - Lintho tsa motheo
- Likhomphutha tsa pele le thuto ea algorithmic (30s-50s): Lintlafatso tsa theory (mohlala, mochini oa Turing) le lisebelisoa tsa khale li hlalosa sebaka sa ho hlahloba ka ho theha se sebetsang le ho rarahana ha ts'ebetso.
- Lipuo tsa Lenaneo (50s+): Ho tloha lipuong tsa kopano ho isa ho lisebelisoa tsa boemo bo holimo (FORTRAN, COBOL, le tse ling tse ngata), ho qaptjoa li-algorithms tse khonang ho "ngola li-algorithms tse ling" tse baloang haholo ke batho.
- Metheo ea Dati le Marang-rang (60s+): Tlhokahalo ea ho boloka le ho fetisa ka mokhoa o hlophisitsoeng le hantle dati, e lebisa ho nts'etsopele ea mekhoa ea motheo dati le lisebelisoa tsa motheo tsa inthanete.
Tsoalo le ho iphetola ha lintho tsa Computational Life Sciences le Bioinformatics
- Baeloji ea Limolek'hule le Tatelano (50s+): Ho tsebahatsa sebopeho sa bophelo boemong ba limolek'hule (tse sibolotsoeng ka DNA, RNA, liprotheine ...) ho hloka mekhoa e tsoetseng pele ea ho boloka le ho sekaseka tlhahisoleseling ena.
- Human Genome Project (1990-2003): Boiteko bo boholo ba tšebelisano 'moho ho fumana tatellano e felletseng ea DNA ea motho. Tsamaiso ea tsena e kholo dati ke katleho e kholo ts'ebelisong ea likhomphutha bakeng sa lits'ebetso tsa mahlale a bophelo.
- Ho phatloha ha "omics" (2000+): Ho phaella ho genome, liprotheine (proteomics) le transcript (transcriptomics) joale li ithutoa ka tekanyo e kholo. Algorithms e khetheha tlhahlobo ea dati khomphutha ya baeloji le e sebetsang hantle haholo.
- Baeloji ea Litsamaiso tsa Khomphutha (2000+): Maiteko a ho etsa mohlala oa lits'ebetso tsa baeloji maemong a fapaneng ka lisebelisoa tsa khomphutha (mohlala, ho tloha ho litšebelisano lipakeng tsa lisele ho isa papisong ea litho tse felletseng kapa lintho tse phelang) e fetoha karolo e ntseng e hola ea maemo a fapaneng.
Symbiosis: theknoloji ea tlhahisoleseling e potlakisang baeloji le ka tsela e fapaneng
- Li-algorithms tse bululetsoeng ka bio: Hangata tlhaho e na le mekhoa e sebetsang ea ho rarolla mathata a rarahaneng. Sena se hlohlelletsa lihlopha tse ncha tsa li-algorithms (mohlala, marang-rang a bululetsoeng ke boko, ho iphetola ha lintho tse iqapetsoeng tse fumanang li-analogies ho liphetoho tse fetohang).
- Mathata a Computationally (Hathata): Mesebetsi e mengata ea bohlokoa ho baeloji (mohlala, ho phutha liprotheine, ho tsamaisana ha tatellano, joalo-joalo) ke mathata a "intrinsically" a rarahaneng, a hatellang meeli ho thehoeng ha lisebelisoa tsa IT le tšebeliso ea lisebelisoa tsa supercomputer.
- Meriana e ikhethileng le "Data Driven Discovery": Mekhoa ea bioinformatic le tlhahlobo ea liphatlalatso tse kholo tsa liphatsa tsa lefutso (ho tsoa ho batho ka bomong le batho ka kakaretso) li fana ka menyetla e ikhethang ea tlhahlobo e nepahetseng, thibelo le kalafo.
Mathata le Bokamoso
- Dintlha tse kholo e leru Khomphutha: Bophahamo ba dati tšimong ea likokoana-hloko e tsoela pele ho hōla ka mokhoa o fetisisang. Ho hlokahala maqheka a sebetsang hantle a ho sebetsa le ho ntša tlhahisoleseling e nepahetseng ho tsoa meroallong ea data.
- Tlhaloso ea mehlala: Mekhoa e kang ea ho ithuta ka botebo hangata e hlahisa litholoana tse nepahetseng haholo, empa tlhaloso ea tsona e ka ba thata. Kutloisiso e betere ea "hobaneng" e hlokahala, haholo-holo mafapheng a hlokolosi joalo ka bongaka.
- Lekunutu le Melao ea Boitšoaro: E le boima ba dati data ea hau e nang le profil ea genomic e ntse e hola, ho bohlokoa ho netefatsa maemo a phahameng a boinotšing, ho se khetholle le tšebeliso ea bona bakeng sa lipatlisiso tsa biomedical ka mokhoa o hlokolosi le o pepeneneng.
bofello
Metheo ea Saense ea Khomphutha e fana ka lisebelisoa tse nolofalletsang ntlafatso ho Computational Life Sciences le Bioinformatics. Mathata a baeloji le ’ona a fana ka liphephetso tse ntšetsang pele lefapha la khomphutha. Ke tšebelisano ea 'nete ho utloisisa le ho ntlafatsa bophelo ka bobona.
Re bang sebaka sa marang-rang le le leng webosaete ea ho bapatsa ka marang-rang, re hlalosa ea hau Mokhatlo oa Marang-rang bakeng sa lits'ebeletso tsa rona tse reretsoeng ho ea qetellong ea bareki, re sebetsa joalo ka Software House , Khampani ea Software , Khampani ea nts'etsopele ea software, webosaete ea ho bapatsa ka marang-rang, sebaka sa marang-rang e sebaka sa marang-rang.
Webosaete ea Marang-rang e fana ka maano a khoebo bakeng sa tlholisano, ho ba moetapele ho boitsebiso ba dijithale ba k'hamphani ea hau.
Re fana ka boleng bo phahameng haholo ho bohle ba rona bareki 'me khoebo ea bona ea dijithale e tlohe.
Webosaete ea Marang-rang ke enjene ea projeke ea hau ea dijithale, ha re tlose boitsebiso ba hau ba dijithale. Re batla ho ba molekane oa hau bakeng sa boqapi ba dijithale ba k'hamphani ea hau.
Hase feela ba haufi le rona ba re khethang.
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