ADACT: a tool for analysing (dis)similarity among nucleotide and protein sequences using minimal and relative absent words

Author:

Akon Mujtahid1,Akon Muntashir2ORCID,Kabir Mohimenul1,Rahman M Saifur1ORCID,Rahman M Sohel1ORCID

Affiliation:

1. Department of CSE, BUET, Dhaka, Bangladesh

2. Department of CSE, RUET, Rajshahi, Bangladesh

Abstract

Abstract Motivation 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. Results 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. Availability and implementation ADACT has been hosted at http://research.buet.ac.bd/ADACT/. Supplementary information Supplementary data are available at Bioinformatics online.

Funder

ICT Division

Government of the Peoples’ Republic of Bangladesh

Publisher

Oxford University Press (OUP)

Subject

Computational Mathematics,Computational Theory and Mathematics,Computer Science Applications,Molecular Biology,Biochemistry,Statistics and Probability

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