Algorithms For Molecular Biology

Journal Title：Algorithms For Molecular Biology

Algorithms for Molecular Biology publishes articles on novel algorithms for biological sequence and structure analysis, phylogeny reconstruction, and combinatorial algorithms and machine learning.

Areas of interest include but are not limited to: algorithms for RNA and protein structure analysis, gene prediction and genome analysis, comparative sequence analysis and alignment, phylogeny, gene expression, machine learning, and combinatorial algorithms.

Where appropriate, manuscripts should describe applications to real-world data. However, pure algorithm papers are also welcome if future applications to biological data are to be expected, or if they address complexity or approximation issues of novel computational problems in molecular biology. Articles about novel software tools will be considered for publication if they contain some algorithmically interesting aspects.

《分子生物學算法》發表有關生物序列和結構分析、系統發育重建、組合算法和機器學習的新算法的文章。

感興趣的領域包括但不限于：RNA 和蛋白質結構分析算法、基因預測和基因組分析算法、比較序列分析和比對算法、系統發育算法、基因表達算法、機器學習算法和組合算法。

在適當的情況下，稿件應描述對現實世界數據的應用。但是，如果純算法論文有望在未來應用于生物數據，或者解決分子生物學中新計算問題的復雜性或近似問題，我們也歡迎這些論文。如果有關新軟件工具的文章包含一些算法上有趣的方面，我們將考慮發表。

Algorithms For Molecular Biology創刊于2006年，由BioMed Central出版商出版，收稿方向涵蓋生物 - 生化研究方法全領域，此期刊水平偏中等偏靠后，在所屬細分領域中專業影響力一般，過審相對較易，如果您文章質量佳，選擇此期刊，發表機率較高。平均審稿速度 12周，或約稿 ，影響因子指數1.5，該期刊近期沒有被列入國際期刊預警名單，廣大學者值得一試。