Webusayiti Yapaintaneti amachita kafukufuku ndi chitukuko pa: "Maziko a Computer Science, Computational Life Sciences, ndi Bioinformatics" makamaka pa: "chitetezo, njira zokhazikika, computational modeling, theory, and simulation".
Webusayiti Yapaintaneti ali ndi luso laukadaulo la "Maziko a Computer Science, Computational Life Sciences, ndi Bioinformatics" makamaka pa: "chitetezo, njira zokhazikika, ma computational modelling, theory, and simulation", ndi Webusayiti Yapaintaneti ali ndi chidziwitso pakumvetsetsa njira zamabizinesi kuti apange mapulogalamu osinthika omwe amakhala modular mu "Maziko a Computer Science, Computational Life Sciences, ndi Bioinformatics" makamaka pa: "chitetezo, njira zokhazikika, kutengera ma computational modelling, theory, and simulation".
Webusayiti Yapaintaneti ali ndi luso lazogulitsa "Maziko a Computer Science, Computational Life Sciences, ndi Bioinformatics" makamaka pa: "chitetezo, njira zokhazikika, computational modeling, theory, and simulation" ndi kusamutsa chikhalidwe cha bizinesi ndipo koposa zonse kusamutsa zinachitikira.
Maziko a Sayansi Yamakompyuta - Zoyambira
- Makompyuta oyamba ndi chiphunzitso cha algorithmic (30s-50s): Kukula kwamalingaliro (monga makina a Turing) ndi zida zakale zimatanthawuza malo oti mufufuze pokhazikitsa zomwe zimalumikizidwa komanso zovuta zake.
- Zinenero Zokonza (50s+): Kuchokera kuzilankhulo zosonkhana mpaka zida zapamwamba (FORTRAN, COBOL, ndi ena ambiri), kupangidwa kwa ma aligorivimu omwe amatha "kulemba ma algorithms ena" omwe amawerengedwa kwambiri ndi anthu amafufuzidwa.
- Maziko a Dati ndi Networks (60s+): Kufunika kosunga ndikufalitsa mwadongosolo komanso moyenera dati, imatsogolera ku chitukuko cha machitidwe oyambirira dati ndi maziko a maziko a Intaneti.
Kubadwa ndi kusinthika kwa Computational Life Sciences ndi Bioinformatics
- Biology ya Molecular ndi Kutsatizana (zaka 50+): Kufotokozera momwe moyo umakhalira pamlingo wa mamolekyu (zomwe zapezedwa za DNA, RNA, mapuloteni ...) zimafunikira njira zapamwamba kwambiri zosungira ndikusanthula izi.
- Human Genome Project (1990-2003): Kugwira ntchito limodzi kwakukulu kuti mupeze mndandanda wathunthu wa DNA yamunthu. Kuwongolera kwakukulu kwa izi dati ndikupambana pakugwiritsa ntchito makompyuta pamapulogalamu a sayansi ya moyo.
- Kuphulika kwa "omics" (2000+): Kuphatikiza pa genome, mapuloteni (proteomics) ndi zolemba (transcriptomics) tsopano amaphunzira pamlingo waukulu. Ma algorithms amakhazikika pakuwunika kwa dati biological and high-performing computing.
- Computational Systems Biology (2000+): Kuyesa kutengera njira zachilengedwe pamlingo wosiyanasiyana ndi zida zamakompyuta (mwachitsanzo, kuchokera pakuchitana pakati pa ma cell mpaka kuyerekeza kwa ziwalo zonse kapena zamoyo) zikukhala gawo lomwe likukulirakulira pakati pamagulu osiyanasiyana.
Symbiosis: ukadaulo wazidziwitso ukufulumizitsa biology ndi mosemphanitsa
- Ma algorithms opangidwa ndi bio: Chilengedwe nthawi zambiri chimakhala ndi njira zabwino zothetsera mavuto ovuta. Izi zimalimbikitsa magulu atsopano a ma aligorivimu (monga ma neural network ouziridwa ndi ubongo, chisinthiko chochita kupanga chomwe chimapeza mafananidwe mu masinthidwe).
- Mavuto Ovuta Kwambiri (Ovuta): Ntchito zambiri zofunika mu biology (mwachitsanzo, kupindika kwa mapuloteni, kutsatizana kotsatizana, ndi zina zotero) ndizovuta "zambiri" zovuta kwambiri, zomwe zimakankhira malire pakupanga zida za IT ndi kugwiritsa ntchito zida zapamwamba zamakompyuta.
- Mankhwala okonda makonda ndi "Data Driven Discovery": Njira za bioinformatics ndi kusanthula kwa nkhokwe zazikulu (kuchokera kwa anthu ndi anthu wamba) zimapereka mwayi wodabwitsa pakuzindikira matenda, kupewa komanso kuchiza.
Mavuto ndi Tsogolo
- Big Data e mtambo Kuwerengera: Kuchuluka kwa dati m'munda wa zamoyo zikupitiriza kukula kwambiri. Njira zogwirira ntchito ndizofunikira pokonza ndi kuchotsa zidziwitso zoyenera kuchokera kumadzi osefukira.
- Kutanthauzira kwa ma model: Njira monga kuphunzira mozama nthawi zambiri zimabweretsa zotsatira zolondola kwambiri, koma kutanthauzira kwawo kumakhala kovuta. Kumvetsetsa bwino kwa "chifukwa" amagwira ntchito ndikofunikira, makamaka m'magawo ovuta monga mankhwala.
- Zazinsinsi ndi Makhalidwe: Monga misa wa dati zambiri zaumwini zomwe zili ndi mbiri ya ma genomic zikupitilira kukula, ndikofunikira kutsimikizira miyezo yapamwamba yachinsinsi, yopanda tsankho komanso kugwiritsa ntchito kwawo kafukufuku wamankhwala mozindikira komanso mowonekera.
Pomaliza
Maziko a Computer Science amapereka zida zomwe zimathandizira kuti pakhale zotsogola mu Computational Life Sciences ndi Bioinformatics. Mavuto a biological, nawonso, amapereka zovuta zomwe zimapititsa patsogolo gawo la makompyuta. Ndi mgwirizano weniweni kuti mumvetsetse ndikutha kusintha moyo womwewo.
Ndife amodzi webusayiti ndi chimodzi malonda otsatsa masamba, timafotokoza zanu Wothandizira Webusayiti ntchito zathu zogwirizana ndi kasitomala womaliza, timagwiritsa ntchito ngati Mapulogalamu Pulogalamu , Kampani Mapulogalamu , Kampani yopanga mapulogalamu, malonda otsatsa masamba, webusayiti e webusayiti.
Webusayiti Yapaintaneti imapereka njira zamabizinesi ampikisano, kukhala mtsogoleri wazodziwika pakampani yanu.
Timapereka apamwamba kwambiri kwa athu onse makasitomala ndipo lolani kuti bizinesi yawo yadijito inyamuke.
Webusayiti Yapaintaneti ndiye injini ya projekiti yanu yadigito, tiyeni tichotse mawonekedwe anu a digito. Tikufuna kukhala mnzanu pazinthu zamagetsi zamakampani anu.
Sikuti ndi iwo okha omwe ali pafupi nafe omwe amatisankha.
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