Pūnaewele Pūnaewele Pūnaewele lawe i ka noiʻi a me ka hoʻomohala ʻana ma: "Foundations of Computer Science, Computational Life Sciences, and Bioinformatics" ma ke ʻano o: "security, formal method, computational modeling, theory, and simulation".
Pūnaewele Pūnaewele Pūnaewele Loaʻa iā ia nā mākau huahana ʻenehana no "Foundations of Computer Science, Computational Life Sciences, a me Bioinformatics" ma ke ʻano o: "palekana, nā hana maʻamau, ka hoʻohālikelike ʻana i ka helu ʻana, ka manaʻo, a me ka simulation", a Pūnaewele Pūnaewele Pūnaewele Loaʻa iā ia ka ʻike ma ka hoʻomaopopo ʻana i nā kaʻina hana ʻoihana e hana i nā polokalamu maʻamau i modular i "Foundations of Computer Science, Computational Life Sciences, and Bioinformatics" a ma ke ʻano he: "security, formal method, computational modeling, theory, and simulation".
Pūnaewele Pūnaewele Pūnaewele Loaʻa iā ia nā mākau huahana ʻenehana "Foundations of Computer Science, Computational Life Sciences, a me Bioinformatics" ma ke ʻano o: "security, formal method, computational modeling, theory, and simulation" a me ka hoʻololi ʻana i ka moʻomeheu ʻoihana a ma luna o nā ʻike hoʻoili āpau.
Nā kumu o ka ʻepekema kamepiula - nā kumu
- ʻO nā kamepiula mua a me ka manaʻo algorithmic (30s-50s): ʻO nā hoʻomohala manaʻo (e like me ka mīkini Turing) a me nā lako hana kahiko e wehewehe i ka wahi e ʻimi ai ma ka hoʻomaʻamaʻa ʻana i ka mea hiki ke helu a me ka paʻakikī o ka hoʻokō.
- Nā ʻŌlelo Papahana (50s+): Mai nā ʻōlelo hui a hiki i nā mea hana kiʻekiʻe (FORTRAN, COBOL, a me nā mea ʻē aʻe he nui), ʻike ʻia ka hana ʻana o nā algorithm e hiki ai ke "kākau i nā algorithm ʻē aʻe" me ka heluhelu ʻana o ke kanaka.
- Nā kumu o Dati a me nā Pūnaewele (60s+): Pono e mālama a hoʻouna i ka ʻōnaehana a me ka maikaʻi dati, alakaʻi i ka hoʻomohala ʻana i nā ʻōnaehana kumu dati a me ke kahua kumu no Internet.
ʻO ka hānau ʻana a me ka ulu ʻana o Computational Life Science a me Bioinformatics
- Molecular Biology and Sequencing (50s+): ʻO ka hoʻololi ʻana i ke ʻano o ke ola ma ka pae molecular (nā ʻike e pili ana i DNA, RNA, proteins...) koi i nā ʻenehana holomua e hoʻopaʻa a hoʻopaʻa i kēia ʻike.
- Papahana Genome Kanaka (1990-2003): ʻO ka hoʻoikaika nui ʻana e loaʻa i ke kaʻina piha o ka DNA kanaka. ʻO ka hoʻokele ʻana o kēia mau mea nui dati he holomua i ka hoʻohana ʻana i ka helu helu no nā noi ʻepekema ola.
- ʻO ka pahū "omics" (2000+): Ma waho aʻe o ka genome, ua aʻo ʻia nā proteins (proteomics) a me ka transcription (transcriptomics) i kēia manawa ma ke ʻano nui. He loea nā algorithms i ka nānā ʻana o dati biological a me ka hana kiʻekiʻe.
- Biology Pūnaehana Computational (2000s+): Ke ho'āʻo nei e hoʻohālike i nā kaʻina hana olaola ma nā pae like ʻole me nā mea hana kamepiula (e laʻa.
Symbiosis: ʻenehana ʻike e hoʻokē ana i ka biology a me ka hope
- ʻO nā algorithms bio-inspired: Loaʻa pinepine ka Nature i nā ala kūpono no ka hoʻoponopono ʻana i nā pilikia paʻakikī. Hoʻoulu kēia i nā papa algorithms hou (e like me ka lolo-inspired neural networks, artificial evolution e ʻike ana i nā hoʻohālikelike i nā mutations).
- Nā pilikia pilikia (paʻakikī) ma ka helu helu: Nui nā hana koʻikoʻi i loko o ka biology (e like me ka protein folding, sequence alignments, etc.) he "intrinsically" computationally pilikia paʻakikī, e koi ana i nā palena i ka hana ʻana i nā mea hana IT a me ka hoʻohana ʻana i nā kumuwaiwai supercomputer.
- ʻO ka lāʻau lapaʻau pilikino a me ka "Data Driven Discovery": Hāʻawi nā ʻenehana bioinformatic a me ka nānā ʻana i nā ʻikepili genetic nui (mai nā poʻe a me ka heluna lehulehu) i nā manawa kūpono i ka ʻike pololei, ka pale ʻana a me ka mālama ʻana.
Nā pilikia a me ka wā e hiki mai ana
- BigʻIkepili e Kapua Helu: Ka leo o dati ma ke kula olaola e hoomau ana i ka ulu nui. Pono nā hoʻolālā kūpono no ka hoʻoponopono ʻana a me ka unuhi ʻana i ka ʻike pili mai nā wai ʻikepili.
- Ka wehewehe ʻana o nā kumu hoʻohālike: ʻO nā ala e like me ke aʻo hohonu e hoʻopuka pinepine i nā hopena pololei loa, akā paʻakikī kā lākou wehewehe. Pono ka hoʻomaopopo maikaʻi ʻana i ka "no ke aha" lākou e hana ai, ʻoi aku hoʻi ma nā ʻano koʻikoʻi e like me ka lāʻau lapaʻau.
- Pilikino a me nā loina: E like me ka nui o dati Ke hoʻomau nei ka ulu ʻana o ka ʻikepili pilikino me ka genomic profile, pono ia e hōʻoiaʻiʻo i nā kūlana kiʻekiʻe o ka pilikino, ka hoʻokae ʻole a me kā lākou hoʻohana ʻana no ka noiʻi biomedical ma kahi ʻano ʻike a maopopo.
ka hopena
Hāʻawi nā Foundations of Computer Science i nā mea hana e hiki ai i nā hana hou i ka Computational Life Science a me Bioinformatics. ʻO nā pilikia koʻikoʻi, ʻo ia hoʻi, hāʻawi i nā luʻi e holomua hou i ke kahua helu. He hui ʻoiaʻiʻo e hoʻomaopopo a hiki ke hoʻomaikaʻi i ke ola ponoʻī.
ʻO mākou hoʻokahi Pūnaewele Pūnaewele e hookahi ʻoihana hoʻolaha pūnaewele, ua wehewehe mākou i kāu Pūnaewele Pūnaewele no ka lawelawe o kā mākou lawelawe pono ʻia i ka mea kūʻai hope, hana mākou e like me Hale Pūnaewele , Pūnaehana Pūnaewele , ʻOihana hoʻomohala polokalamu, ʻoihana hoʻolaha pūnaewele, Pūnaewele Pūnaewele e Pūnaewele Pūnaewele.
Pūnaewele Pūnaewele Pūnaewele hāʻawi i nā hoʻolālā pāʻoihana no ka hoʻokūkū, lilo i alakaʻi i ka ʻike kikohoʻe o kāu hui.
Hāʻawi mākou i ke kūlana kiʻekiʻe loa i kā mākou āpau nā mea kūʻai mai ae haʻalele i kā lākou ʻoihana kamepiula.
Pūnaewele Pūnaewele Pūnaewele ʻo ia ka ʻenekini o kāu papahana kikohoʻe, e hemo i kāu ʻike uila. Makemake mākou e lilo i hoa no ka hana hou ʻana o kāu ʻoihana.
ʻAʻole wale nā poʻe kokoke iā mākou e koho iā mākou.
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E ʻike hou aʻe mai ka Pūnaewele Pūnaewele Pūnaewele
E kau inoa no ka loaʻa ʻana o nā ʻatikala hou loa ma ka leka uila.
