sequence n. 1.繼續(xù);接續(xù);連續(xù)。 2.順序;程序;次第;關(guān)系;關(guān)聯(lián)。 3.后果;結(jié)果;接著發(fā)生的事;后事;后文。 4.【數(shù)學(xué)】數(shù)列;序列;數(shù)貫。 5.【無、計】指令序列;定序。 6.【計算機】順序機〔將信息項目排成順序的機器〕。 7.【音樂】用不同音調(diào)反復(fù)演奏一組樂句。 8.【天主教】宣講福音前唱的圣歌。 9.【牌戲】順。 10.【電影】(描述同一主題的)連續(xù)鏡頭;片斷,插曲;場景。 a logical sequence 條理;邏輯順序。 a causal [physical] sequence 因果關(guān)系。 the natural sequence to [for] folly 愚笨行為的必然結(jié)果。 in rapid sequence 一個接著一個;緊接著。 in regular sequence 挨次;按次序;逐一;有條不紊地。 in sequence 挨次;順次;逐一。 sequence of tenses 【語法】時態(tài)的配合[接續(xù),呼應(yīng)]。
multiple adj. 1.多重的;復(fù)合的,復(fù)式的,多數(shù)的,多樣的。 2.倍數(shù)的,倍。 3.【電學(xué)】并聯(lián)的;多路的,復(fù)接的。 4.【植物;植物學(xué)】聚花的。 a man of multiple interests 興趣廣博的人。 n. 1.【數(shù)學(xué)】倍數(shù)。 2.【電學(xué)】并聯(lián);多路系統(tǒng)。 3.相聯(lián)成組。 4.成批生產(chǎn)的藝術(shù)品〔畫、雕塑、工藝品等〕。 common multiple 公倍數(shù)。 least common multiple 最小公倍數(shù)。
Solving the multiple sequence alignment problem based on simulated annealing algorithm 多序列聯(lián)配問題的模擬退火求解
Among these tools , multiple sequence alignment ( msa ) is the most important because msa is central to most bioinformatics techniques 因為其它的許多生信息學(xué)工具都是以多序列對齊為基礎(chǔ)的。
We have identified six conserved domains by multiple sequence alignments of the thymidine kinase proteins of the alphaherpesviruses 通過對皰疹病毒tk氨基酸進(jìn)行多序列比較,我們獲得了在prvtk氨基酸序列上的六個保守區(qū)間。
Pfam is a large collection of multiple sequence alignments and hidden markov models covering many common protein families 為一包含了許多多重序列校準(zhǔn),以及“隱藏式馬爾科夫模型”的巨大集合,里面涵蓋了許多常見的蛋白質(zhì)家族。
Due to the np - completeness of optimal msa , any attempt of developing a fast algorithm to compute optimal multiple sequence alignments is expected to fail 由于序列對齊是一個np完全問題,所有企圖快速產(chǎn)生最優(yōu)化對齊的想法是不可能實現(xiàn)的。
Completion of multiple sequences is allowed . of course , completing a sequence may trigger the completion of one or more other sequences and yield a corresponding bonus 被允許的多個序列完成。當(dāng)然,完成序列也許觸發(fā)一個或更多其它序列的完成和對應(yīng)的分?jǐn)?shù)。
Pairwise and multiple sequence alignment algorithms of bioinformaics are studied in this paper . the main contents and production can be briefly summarized as follows : 1 本文研究了生物信息學(xué)中的雙序列和多序列比對算法,主要研究內(nèi)容和取得的成果如下: 1
In this paper , we analysis the information of nucleotide or amino acid sequences with computer technology and finally give a computation result which is an alignment of either pair - wise sequences or multiple sequences of nucleotide acid or amino acid 本文通過計算機技術(shù),對于核苷酸或氨基酸中的信息進(jìn)行分析,針對兩個或者兩個以上的核苷酸序列或氨基酸序列,經(jīng)過計算,最終給出比對結(jié)果。
5 . in biology field , clustal is one of the most popular multiple sequence alignment software . when large numbers of sequences are aligned at one time , the time complexity of clustal algorithm is very big and it is not suit for vast sequences Clustal程序是生物學(xué)界通用的多序列比對軟件之一,隨著同時進(jìn)行比對的序列數(shù)據(jù)量的增加,其時間復(fù)雜度急劇增加,該程序無法滿足大規(guī)模的序列數(shù)據(jù)比對。
This paper is devoted to investigating the capability of aco metaheuristic for solving mcp and proposes an intensification - diversification balanced aco algorithm for mcp . moreover , the algorithm is applied to improving the progressive algorithm which is for multiple sequences alignment problem ( msa ) 鑒于此,本文對蟻群優(yōu)化算法解決最大團(tuán)問題的能力進(jìn)行了研究,提出一個解決最大團(tuán)問題的intensification和diversification平衡協(xié)作的蟻群優(yōu)化算法。