Akon Mujtahid, Akon Muntashir, Kabir Mohimenul, Rahman M Saifur, Rahman M Sohel
Department of CSE, BUET, Dhaka, Bangladesh.
Department of CSE, RUET, Rajshahi, Bangladesh.
Bioinformatics. 2021 Jun 16;37(10):1468-1470. doi: 10.1093/bioinformatics/btaa853.
Researchers and practitioners use a number of popular sequence comparison tools that use many alignment-based techniques. Due to high time and space complexity and length-related restrictions, researchers often seek alignment-free tools. Recently, some interesting ideas, namely, Minimal Absent Words (MAW) and Relative Absent Words (RAW), have received much interest among the scientific community as distance measures that can give us alignment-free alternatives. This drives us to structure a framework for analysing biological sequences in an alignment-free manner.
In this application note, we present Alignment-free Dissimilarity Analysis & Comparison Tool (ADACT), a simple web-based tool that computes the analogy among sequences using a varied number of indexes through the distance matrix, species relation list and phylogenetic tree. This tool basically combines absent word (MAW or RAW) computation, dissimilarity measures, species relationship and thus brings all required software in one platform for the ease of researchers and practitioners alike in the field of bioinformatics. We have also developed a restful API.
ADACT has been hosted at http://research.buet.ac.bd/ADACT/.
Supplementary data are available at Bioinformatics online.
研究人员和从业者使用许多流行的序列比较工具，这些工具采用了多种基于比对的技术。由于时间和空间复杂度高以及与长度相关的限制，研究人员经常寻求无比对工具。最近，一些有趣的概念，即最小缺失词（MAW）和相对缺失词（RAW），作为能够为我们提供无比对替代方案的距离度量，在科学界引起了广泛关注。这促使我们构建一个以无比对方式分析生物序列的框架。
在本应用笔记中，我们展示了无比对差异分析与比较工具（ADACT），这是一个基于网络的简单工具，它通过距离矩阵、物种关系列表和系统发育树，使用多种指标来计算序列之间的相似度。该工具基本上结合了缺失词（MAW或RAW）计算、差异度量、物种关系，从而将所有所需软件整合在一个平台上，方便生物信息学领域的研究人员和从业者使用。我们还开发了一个RESTful API。
ADACT托管于http://research.buet.ac.bd/ADACT/。
补充数据可在《生物信息学》在线获取。
