Izisekelo zeComputer Science, Computational Life Sciences, kanye ne-Bioinformatics

I-Intanethi yeWebhusayithi yenza ucwaningo nentuthuko kokuthi: "Izisekelo Zesayensi Yekhompyutha, Isayensi Yempilo Yekhompyutha, kanye ne-Bioinformatics" ikakhulukazi: "ukuphepha, izindlela ezisemthethweni, imodeli yekhompyutha, ithiyori, kanye nokulingiswa".

I-Intanethi yeWebhusayithi inamakhono omkhiqizo wezobuchwepheshe "Ezisekelo Zesayensi Yekhompyutha, Isayensi Yempilo Yekhompyutha, ne-Bioinformatics" ikakhulukazi: "ezokuphepha, izindlela ezisemthethweni, imodeli yekhompyutha, ithiyori, nokulingisa", kanye I-Intanethi yeWebhusayithi unolwazi ekuqondeni izinqubo zebhizinisi ukuze enze isofthiwe eyenziwe ngokwezifiso eyimodular kokuthi “Izisekelo Zesayensi Yekhompyutha, Isayensi Yempilo Yekhompyutha, ne-Bioinformatics” futhi ikakhulukazi kokuthi: “ezokuphepha, izindlela ezisemthethweni, imodeli yekhompyutha, ithiyori, nokulingisa”.

I-Intanethi yeWebhusayithi inamakhono omkhiqizo wobuchwepheshe "Izisekelo Zesayensi Yekhompyutha, Isayensi Yempilo Yekhompyutha, ne-Bioinformatics" ikakhulukazi kokuthi: "ukuphepha, izindlela ezisemthethweni, ukumodela ngekhompyutha, ithiyori, nokulingisa" futhi idlulisela isiko lebhizinisi futhi ngaphezu kwakho konke ulwazi lokudlulisa.

Izisekelo Zesayensi Yekhompyutha - Izisekelo

• Amakhompyutha okuqala kanye nethiyori ye-algorithmic (30s-50s): Intuthuko yetiyori (isb. Umshini wokuthungatha) kanye nezingxenyekazi zekhompuyutha zakuqala zichaza isikhala sokuhlola ngokwenza okusemthethweni okusebenzisekayo nobunkimbinkimbi bokusebenzisa.
• Izilimi Zokuhlela (50s+): Ukusuka ezilimini zokuhlanganisa kuye kumathuluzi asezingeni eliphezulu (i-FORTRAN, i-COBOL, namanye amaningi), kuhlolwa ukudalwa kwama-algorithms akwazi “ukubhala amanye ama-algorithms” afundeka kakhulu umuntu.
• Izisekelo ze Dati kanye namanethiwekhi (60s+): Isidingo sokugcina nokudlulisa ngendlela ehlelekile nangempumelelo idatha, kuholela ekuthuthukisweni kwezinhlelo eziyisisekelo idatha kanye nengqalasizinda eyisisekelo ye internet.

Ukuzalwa nokuvela kwe-Computational Life Sciences kanye ne-Bioinformatics

• Ibhayoloji yamangqamuzana nokulandelana (ama-50s+): Ukuqopha ukwakheka kwempilo ezingeni lamangqamuzana (okutholwe mayelana ne-DNA, i-RNA, amaprotheni...) kudinga amasu athuthukile ngokwandayo ukuze kugcinwe futhi kuhlaziye lolu lwazi.
• I-Human Genome Project (1990-2003): Umzamo omkhulu wokubambisana wokuthola ukulandelana okuphelele kwe-DNA yomuntu. Ukuphathwa kwalezi zinkulu idatha kuyimpumelelo ekusetshenzisweni kwekhompuyutha yezinhlelo zokusebenza zesayensi yempilo.
• Ukuqhuma kwe-"omics" (2000+): Ngaphezu kwe-genome, amaprotheni (ama-proteomics) kanye nokubhala (ama-transcriptomics) manje afundwa ngezinga elikhulu. Ama-algorithms asebenza ngokukhethekile ekuhlaziyeni idatha ikhompuyutha yezinto eziphilayo nokusebenza okuphezulu.
• I-Computational Systems Biology (2000+): Imizamo yokumodela izinqubo zebhayoloji kumaleveli ahlukahlukene ngamathuluzi ekhompuyutha (isb. kusukela ekusebenzelaneni phakathi kwamaseli ukuya ekulingiseni izitho zonke noma izinto eziphilayo) isiba inkambu ekhulayo yezinhlaka ezahlukene.

I-Symbiosis: ubuchwepheshe bolwazi obusheshisa i-biology futhi ngokuphambene nalokho

• I-Bio-inspired algorithms: Imvelo ngokuvamile iqukethe izindlela eziphumelelayo zokuxazulula izinkinga eziyinkimbinkimbi. Lokhu kukhuthaza izigaba ezintsha zama-algorithms (isb. amanethiwekhi emizwa aphefumulelwe ebuchosheni, ukuziphendukela kwemvelo okwenziwayo okuthola izifaniso ekuguquguqukeni).
• Izinkinga Ezinzima Ngokwekhompyutha (Ezinzima): Imisebenzi eminingi ebalulekile kubhayoloji (isb., ukugoqa amaprotheni, ukuqondanisa ngokulandelana, njll.) iyizinkinga "ezingaphakathi" eziyinkimbinkimbi, ezicindezela imikhawulo ekudalweni kwamathuluzi e-IT kanye nokusetshenziswa kwezinsiza zamakhompiyutha amakhulu.
• Umuthi oqondene nawe kanye “Nokutholwa Kwedatha”: Amasu we-Bioinformatic nokuhlaziywa kwedathasethi enkulu yofuzo (kusuka kubantu ngabanye kanye nomphakathi jikelele) kunikeza amathuba angavamile ekuxilongweni okunembayo, ukuvimbela kanye nokwelashwa.

Izinselelo Nekusasa

• Idatha enkulu e Cloud Ukwenza ikhompuyutha: Umthamo we idatha emkhakheni wezinto eziphilayo iyaqhubeka ikhula ngokuqhubekayo. Kudingeka amasu asebenzayo ukuze kucutshungulwe futhi kukhishwe ulwazi olufanele kuzamcolo wedatha.
• Ukutolika kwamamodeli: Izindlela ezinjengokufunda okujulile zivame ukukhiqiza imiphumela enembe kakhulu, kodwa ukuhumusha kwazo kungaba nzima. Ukuqonda kangcono ukuthi "kungani" zisebenza kuyadingeka, ikakhulukazi emikhakheni ebucayi efana nezokwelapha.
• Ubumfihlo Nezimiso Zokuziphatha: Njengenqwaba ye idatha idatha yomuntu siqu enephrofayili ye-genomic iyaqhubeka nokukhula, kubalulekile ukuqinisekisa izindinganiso eziphakeme zobumfihlo, ukungabandlululi kanye nokusetshenziswa kwazo ocwaningweni lwe-biomedical ngendlela eqaphela ngokugcwele futhi esobala.

isiphetho

I-Foundations of Computer Science ihlinzeka ngamathuluzi anika amandla ukusungula izinto ezintsha ku-Computational Life Sciences kanye ne-Bioinformatics. Izinkinga zebhayoloji, nazo, zinikeza izinselele eziqhubekisela phambili umkhakha wekhompyutha. Ukubambisana kweqiniso ukuqonda kanye namandla okwenza impilo ngokwayo.

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Sinikeza ikhwalithi ephezulu kakhulu kubo bonke bethu amakhasimende futhi bayeke ibhizinisi labo ledijithali liqale.

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Akusibo kuphela labo abasondelene nathi abasikhethayo.

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👍I-Ejensi Yewebhu Ye-inthanethi | Uchwepheshe we-Web Agency ku-Digital Marketing kanye ne-SEO. I-Web Agency Online iyi-Web Agency. Okwe-Agenzia Web Online impumelelo ekuguquleni kwedijithali isekelwe ezisekelweni ze-Iron SEO inguqulo 3. Okukhethekile: Ukuhlanganiswa Kwesistimu, Ukuhlanganiswa Kwesicelo Sebhizinisi, I-Service Oriented Architecture, Cloud Computing, Indawo yokugcina idatha, ubuhlakani bebhizinisi, Idatha Enkulu, izingosi, ama-intranethi, Isicelo Sewebhu Ukuklama nokuphathwa kolwazi olugciniwe oluhlobene nolunezinhlangothi eziningi Ukudizayina izixhumanisi zemidiya yedijithali: ukusebenziseka kanye Nezithombe. I-Online Web Agency inikeza izinkampani lezi zinsizakalo ezilandelayo: -SEO ku-Google, Amazon, Bing, Yandex; -Web Analytics: Google Analytics, Google Tag Manager, Yandex Metrica; -Ukuguqulwa komsebenzisi: I-Google Analytics, i-Microsoft Clarity, i-Yandex Metrica; -SEM kuGoogle, Bing, Amazon Ads; -Social Media Marketing (Facebook, Linkedin, Youtube, Instagram).

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