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Phylogenetic Analyses of SARS-CoV-2 Strains Reveal Its Link to the Spread of COVID-19 Across the Globe

Autor: Shashata, Sawmya, Arpita, Saha, Sadia, Tasnim, Naser, Anjum, Md, Toufikuzzaman, Ali Haisam Muhamad, Rafid, Mohammad Saifur, Rahman, M Sohel, Rahman, Tanvir, Alam

Publikováno v: Studies in health technology and informatics. 290

This study leveraged the phylogenetic analysis of more than 10K strains of novel coronavirus (SARS-CoV-2) from 67 countries. Due to the requirement of high-end computational power for phylogenetic analysis, we leverage a fast yet highly accurate alig

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=pmid________::0b704785a8234c5451d3d0e84864592c
https://pubmed.ncbi.nlm.nih.gov/35673113

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CD-MAWS: An Alignment-free Phylogeny Estimation Method Using Cosine Distance on Minimal Absent Word Sets

Autor: Naser Anjum, Raian Latif Nabil, Rakibul Islam Rafi, Shamsuzzoha Bayzid, M. Saifur Rahman

Publikováno v: IEEE/ACM transactions on computational biology and bioinformatics.

Multiple sequence alignment has been the traditional and well established approach of sequence analysis and comparison, though it is time and memory consuming. As the scale of sequencing data is increasing day by day, the importance of faster yet acc

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e2d88bbd28c1f35edd40ceb0f5daafa7
https://pubmed.ncbi.nlm.nih.gov/34928803

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PASTA with many application-aware optimization criteria for alignment based phylogeny inference

Autor: Muhammad Ali Nayeem, Md. Shamsuzzoha Bayzid, Naser Anjum Samudro, M. Saifur Rahman, M. Sohel Rahman

Publikováno v: Computational biology and chemistry. 98

Multiple sequence alignment (MSA) is a prerequisite for several analyses in bioinformatics, such as, phylogeny estimation, protein structure prediction, etc. PASTA (Practical Alignments using SATé and TrAnsitivity) is a state-of-the-art method for c

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::99c300e34a18f9722cb382b9b36c2f4b
https://pubmed.ncbi.nlm.nih.gov/35339762

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