本頁只刊出中文翻譯與中文說明；英文原文請見下方原文連結。
原文連結
論文資訊
- 類型：已發表論文
- 日期：2009
摘要
Ribosomal RNA (rRNA) genes are probably the most frequently used data source in 系統發育 reconstruction. Individual columns of rRNA alignments are not independent as a consequence of their highly conserved secondary structures. Unless explicitly taken into account, these correlation can distort the 系統發育 signal and/or lead to gross overestimates of tree stability. Maximum likelihood and 貝氏 approaches are of course amenable to using RNA-specific substitution models that treat conserved base pairs appropriately, but require accurate secondary structure models as input. So far, however, no accurate and easy-to-use tool has been available for computing structure- aware alignments and consensus structures that can deal with the large rRNAs. The RNAsalsa approach is designed to fill this gap. Capital
※ 此為已發表論文，全文需透過期刊付費取得