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1Phenomics

'Phenomics' 에 대한 통합검색결과 2건입니다.

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- 문태원(서울대학교)
- 손정익(서울대학교)
Process-Based Crop Modeling for High Applicability with Attention Mechanism and Multitask Decoders
- Plant Phenomics 2023 Apr 12;5:0035 | doi: 10.34133/plantphenomics.0035
- 2023.04
- 생명과학
이인석

University of Texas at Austin, 현재 연세대학교

1. Science , Vol 306, Issue 5701, 1555-1558 , 26 November 2004 "A Probabilistic Functional Network of Yeast Genes" - 논문관련 분야의 소개, 동향, 전망을 간단히 설명 The human genome project (HGP) was probably the most challenging scientific project in human history, but it also produced many new questions that are even much harder to solve. The most shocking result of HGP is that there are much fewer genes than we expected in our genome. After the first draft human genome sequence published, initial estimation reported about 40,000 genes. It was already not many when we consider our biological complexity (even very simple multi-cellular organism, worm, has the genome of about 20,000 genes). As we improve gene finding algorithm and polish sequence data, however, this number even declined, down to about 25,000 reported by currently best estimation. Apparently we have merely 125% of what worm has at gene level. Here we see very important lesson. We can never understand organisms at system level only through investigations at gene level. Therefore scientific community started paying more attention to "network biology", because it is a gate-way for mapping genotypes to phenotypes in the given temporal and environmental conditions, that is ultimate goal of "Systems biology". Our paper proposes a way of making accurate and extensive gene network by integrating many different functional genomics data. So far, there have been many different kinds of gene/protein networks but all are very limited in accuracy and extensiveness. Although we have cumulated huge amount of data from various functional genomics study, integration of those information was very challenging because of their heterogeneous attributes. By re-interpretation of all functional genomics data as "functional couplings" between genes, we could make very extensive gene network in yeast with impressive quality. Gene network is a promising platform in modern medical and pharmaceutica
- Science
- 2004.12.16

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