生物谷報道：現(xiàn)代的生物信息學技術已經(jīng)使人類更清晰認識到生命的機制,。最新一期PNAS報道了中國臺灣學者李文雄（音譯）最新研究成果,，采用統(tǒng)計學方法成功鑒定出酵母的細胞周期中的轉錄因子網(wǎng)絡,。通過生物信息學手段成功預測了50個酵母細胞周期轉錄因子之間相互作用的規(guī)律,。這一研究成果將為生物信息學在生命科學領域中的更深入應用提供更廣泛的基礎的,。
生物信息學的應用解決了傳統(tǒng)的生物學方法所不能解決的生命網(wǎng)絡和系統(tǒng)生物學等問題,。
專欄：系統(tǒng)生物學進展
Fig. 1. The regulatory behaviors of 50 known or putative yeast cell cycle TFs. The descriptions are from Tables 1, 2, 3, 4 and 9 and the literature. TF in red (blue) means that genes in G are expressed significantly higher (lower) than genes in G-. TF in black means that, although it is not identified by the first method (detection of individual TFs), it is detected by the second method (detection of synergistic pairs). A TF filled with green means a known cell cycle TF, yellow means highly confident, and gray means plausible. An edge connecting two TFs implies that the two TFs are synergistic according to our analysis. An edge (,) in red (blue) means that TFs and have positive (negative) synergy; plausible pairs are in thin lines, and highly confident pairs are in thick lines. A synergistic pair in green means supported by literature, and a synergistic pair in yellow means consistent with predictions of other studies.
