Iziseko zeNzululwazi yeKhompyutha, iiSayensi zoBomi beKhompyutha, kunye neBioinformatics

Kwi-Intanethi yeWebhusayithi wenza uphando kunye nophuhliso: "Iziseko zeSayensi yeKhompyutha, iiSayensi zoBomi beKhompyutha, kunye neBioinformatics" ngokukodwa: "ukhuseleko, iindlela ezisesikweni, imodeli yokubala, ithiyori, kunye nokulinganisa".

Kwi-Intanethi yeWebhusayithi unezakhono zemveliso yobugcisa "kwiZiseko zeSayensi yeKhompyutha, iiSayensi zoBomi beKhompyutha, kunye neBioinformatics" ngokukodwa: "ukhuseleko, iindlela ezisesikweni, imodeli yokubala, ithiyori, kunye nokulinganisa", kunye Kwi-Intanethi yeWebhusayithi unamava ekuqondeni iinkqubo zoshishino ukwenza isoftware elungiselelweyo eyimodyuli "kwiZiseko zeSayensi yeKhompyutha, iSayensi yeKhompyutha yoBomi, kunye ne-Bioinformatics" kwaye ngokukodwa: "ukhuseleko, iindlela ezisesikweni, imodeli yokubala, ithiyori, kunye nokulinganisa".

Kwi-Intanethi yeWebhusayithi inezakhono zemveliso yobugcisa "Iziseko zeSayensi yeKhompyutha, iiSayensi zoBomi beKhompyutha, kunye ne-Bioinformatics" ngokukodwa kwi: "ukhuseleko, iindlela ezisemthethweni, imodeli ye-computational, ithiyori, kunye nokulinganisa" kunye nokudluliselwa kwenkcubeko yoshishino kwaye ngaphezu kwayo yonke into yokudlulisa amava.

Iziseko zeNzululwazi yeKhompyutha-Iziseko

• Iikhompyuter zokuqala kunye nethiyori ye-algorithmic (30s-50s): Uphuhliso lwethiyori (umzekelo, umatshini wokuTuring) kunye ne-hardware yamandulo ichaza indawo yokuphonononga ngokusesikweni into ekhompyutheni kunye nobunzima bokubulawa.
• Iilwimi zokuCwangcisa (50s+): Ukusuka kwiilwimi zendibano ukuya kwizixhobo ezikumgangatho ophezulu (i-FORTRAN, i-COBOL, kunye nabanye abaninzi), ukuyilwa kwe-algorithms ekwaziyo "ukubhala ezinye ii-algorithms" ngokufundeka okukhulu komntu kuyaphononongwa.
• Iziseko ze Dati kunye neeNethiwekhi (60s+): Isidingo sokugcina kunye nokuhambisa ngokucwangcisiweyo nangokufanelekileyo dati, ikhokelela ekuphuhlisweni kweenkqubo ezisisiseko dati kunye neziseko ezingundoqo ze intanethi.

Ukuzalwa kunye nokuzivelela kweComputational Life Sciences kunye neBioinformatics

• Ibhayoloji yeMolekyuli kunye nolandelelwano (50s+): Ukucacisa ubume bobomi kwinqanaba le-molecular (ukufumanisa malunga ne-DNA, i-RNA, iiprotheni ...) kufuna iindlela eziqhubela phambili zokulondoloza kunye nokuhlalutya olu lwazi.
• Iprojekthi yeGenome yoLuntu (1990-2003): Umzamo omkhulu wokubambisana wokufumana ulandelelwano olupheleleyo lweDNA yomntu. Ulawulo lwezi lukhulu dati yinkqubela phambili ekusetyenzisweni kwekhompyutha kwizicelo zesayensi yobomi.
• Ukudubula kwe "omics" (2000+): Ukongeza kwi-genome, iiprotheyini (iproteomics) kunye nokubhala (i-transcriptomics) ngoku zifundwa kwinqanaba elikhulu. Ii-algorithms zikhethekileyo kuhlalutyo lwe dati ibhayoloji kunye necomputing ephezulu yokusebenza.
• IBhayoloji yeeNkqubo zeKhompyutha (2000+): Iinzame zokulinganisa iinkqubo zebhayoloji kumanqanaba ahlukeneyo ngezixhobo zekhompyuter (umzekelo, ukusuka kwintsebenziswano phakathi kweeseli ukuya ekufanisweni kwamalungu apheleleyo okanye izinto eziphilayo) ziya ziba ngummandla okhulayo wezifundo ezahlukeneyo.

I-Symbiosis: iteknoloji yolwazi ekhawulezisa ibhayoloji kwaye ngokuphambeneyo

• I-algorithms ephefumlelwe yi-Bio: Indalo isoloko ineendlela ezifanelekileyo zokusombulula iingxaki ezinzima. Oku kukhuthaza iiklasi ezintsha ze-algorithms (umzekelo, uthungelwano oluphefumlelweyo lwe-neural, i-artificial evolution efumana ukulinganisa kwiinguqu).
• Iingxaki eziBanzi ngeKhompyutha (Zinzima): Imisebenzi emininzi ephambili kwi-biology (umzekelo, ukugoqa iiprotheyini, ukulandelelana kolandelelwano njl.njl.) "ngaphakathi" ziingxaki ezintsonkothileyo ezintsonkothileyo, ezityhala imida ekudalweni kwezixhobo ze-IT kunye nokusetyenziswa kwemithombo yekhompyuter ephezulu.
• Iyeza elenzelwe wena kunye "noFundo oluqhutywa yiData": Ubuchule be-Bioinformatic kunye nohlalutyo lwedatha enkulu yemfuza (esuka kubantu kunye nabemi ngokubanzi) inikezela ngamathuba angaqhelekanga ekuxilongweni ngokuchanekileyo, uthintelo kunye nonyango.

Imingeni kunye nekamva

• Idatha enkulu e ilifu Ikhompyutha: Umthamo we dati kwintsimi yebhayoloji iyaqhubeka ikhula ngokukhawuleza. Amaqhinga asebenzayo ayafuneka ukuze kuqhutywe kwaye kukhutshwe ulwazi olufanelekileyo kumanzi edatha.
• Ukutolika kweemodeli: Iindlela ezinjengokufunda nzulu zihlala zivelisa iziphumo ezichanekileyo, kodwa ukutolika kwazo kunokuba nzima. Ukuqonda ngcono "kutheni" zisebenza ziyafuneka, ngakumbi kwiindawo ezinobuthathaka ezifana neyeza.
• Ubungasese kunye neenqobo zokuziphatha: Njengoko ubunzima dati idatha yomuntu siqu kunye neprofayili ye-genomic iyaqhubeka ikhula, kunyanzelekile ukuba kuqinisekiswe imigangatho ephakamileyo yobumfihlo, ukungacaluli kunye nokusetyenziswa kwabo kuphando lwe-biomedical ngokuqaphela ngokupheleleyo kunye nokungafihli.

isiphelo

IZiseko zeSayensi yeKhompyutha zibonelela ngezixhobo ezenza kube lula ukuphumelela kwiiSayensi zoBomi beComputational kunye neBioinformatics. Iingxaki zebhayoloji, nazo, zibonelela ngocelomngeni oluqhubela phambili icandelo lekhompyutha. Yintsebenziswano yokwenyani ukuqonda kunye nokubanakho ukuphucula ubomi ngokwabo.

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