中文簡(jiǎn)介

IEEE/ACM《計(jì)算生物學(xué)與生物信息學(xué)學(xué)報(bào)》強(qiáng)調(diào)在生物信息學(xué)和計(jì)算生物學(xué)中處于核心地位的算法、數(shù)學(xué)、統(tǒng)計(jì)和計(jì)算方法;生物信息學(xué)中有效計(jì)算機(jī)程序的開(kāi)發(fā)與測(cè)試發(fā)展生物數(shù)據(jù)庫(kù);以及利用這些方法、程序和數(shù)據(jù)庫(kù)獲得的重要生物學(xué)結(jié)果;系統(tǒng)生物學(xué)的新興領(lǐng)域，其中許多形式的數(shù)據(jù)被用來(lái)創(chuàng)建一個(gè)基于計(jì)算機(jī)的復(fù)雜生物系統(tǒng)模型。該出版物代表了三種研究模式的混合:a)由生物學(xué)問(wèn)題直接推動(dòng)的基本方法學(xué)、算法、數(shù)學(xué)和統(tǒng)計(jì)研究;b)重點(diǎn)研究實(shí)驗(yàn)和實(shí)施問(wèn)題的論文;c)關(guān)于認(rèn)真應(yīng)用方法和程序，從而發(fā)現(xiàn)具有生物學(xué)意義的論文。越來(lái)越多的論文包含了所有三種模式的要素。感興趣的具體主題包括但不限于序列分析、比較和對(duì)齊方法;基序、基因和信號(hào)識(shí)別;分子進(jìn)化;系統(tǒng)遺傳學(xué)和系統(tǒng)基因組學(xué);二、三維RNA和蛋白質(zhì)結(jié)構(gòu)的測(cè)定或預(yù)測(cè);DNA扭曲和折疊;基因表達(dá)與基因調(diào)控網(wǎng)絡(luò)代謝途徑的推斷;微陣列設(shè)計(jì)與分析;蛋白質(zhì)組學(xué);功能基因組學(xué);分子對(duì)接與藥物設(shè)計(jì);遺傳計(jì)算問(wèn)題，如連鎖和QTL分析，群體連鎖不平衡分析，單倍型確定;系統(tǒng)生物學(xué)。

投稿網(wǎng)址：http://www.computer.org/portal/web/tcbb/author

英文簡(jiǎn)介

IEEE/ACM Transactions on Computational Biology and Bioinformatics emphasizes the algorithmic, mathematical, statistical, and computational methods that are central in bioinformatics and computational biology; the development and testing of effective computer programs in bioinformatics; the development of biological databases; and important biological results that are obtained from the use of these methods, programs and databases; the emerging field of Systems Biology, where many forms of data are used to create a computer-based model of a complex biological system. The publication represents a mixture of three research modalities: a) fundamental methodological, algorithmic, mathematical and statistical research directly motivated by biological issues; b) papers focusing on experimental and implementation issues; and c) papers on serious application of methods and programs that lead to discoveries of biological significance. Increasingly, papers contain elements of all three modalities. Specific topics of interest include, but are not limited to, sequence analysis, comparison and alignment methods; motif, gene and signal recognition; molecular evolution; phylogenetics and phylogenomics; determination or prediction of the structure of RNA and Protein in two and three dimensions; DNA twisting and folding; gene expression and gene regulatory networks; deduction of metabolic pathways; micro-array design and analysis; proteomics; functional genomics; molecular docking and drug design; computational problems in genetics such as linkage and QTL analysis, linkage disequilibrium analysis in populations, and haplotype determination; systems biology.