eprintid: 4215 rev_number: 7 eprint_status: archive userid: 282 dir: disk0/00/00/42/15 datestamp: 2020-12-10 02:37:36 lastmod: 2020-12-10 02:37:36 status_changed: 2020-12-10 02:37:36 type: conference_item metadata_visibility: show creators_name: Nguyen, Duc Canh creators_name: Dang, Cao Cuong creators_name: Le, Sy Vinh creators_name: Bui, Quang Minh creators_name: Hoang, Thi Diep creators_id: duccanh9511@gmail.com creators_id: vinhls@vnu.edu.vn creators_id: m.bui@anu.edu.au creators_id: diepht@vnu.edu.vn title: pQMaker: empirically estimating amino acid substitution models in a parallel environment ispublished: pub subjects: IT divisions: fac_fit abstract: Amino acid substitution matrices are central to the model-based methods for reconstructing evolutionary trees from amino acid sequences. QMaker is an efficient method for estimating general time-reversible amino acid substitution matrices from a large biological dataset containing thousands of protein alignments using maximum likelihood principle. It allows researchers to build an amino acid substitution model on their own to best fit their subsequent phylogenetic analyses. In this work, we propose an approach to parallelize computation in QMaker, named pQMaker. Moreover, we provide an open-source message passing interface implementation for pQMaker (https://github.com/canhnd58/IQ-TREE/tree/pqmaker) built upon the latest IQ-TREE package. Experiments on benchmark data sets show that our implementation has significant speed gains compared with the original QMaker. date: 2020-11-14 date_type: published contact_email: diepht@vnu.edu.vn full_text_status: none pres_type: paper pagerange: 324-329 event_title: 2020 12th International Conference on Knowledge and Systems Engineering (KSE) event_location: Can Tho Viet Nam event_dates: November 12-14, 2020 event_type: conference refereed: FALSE funders: Nafosted projects: 102.01.2019.06 citation: Nguyen, Duc Canh and Dang, Cao Cuong and Le, Sy Vinh and Bui, Quang Minh and Hoang, Thi Diep (2020) pQMaker: empirically estimating amino acid substitution models in a parallel environment. In: 2020 12th International Conference on Knowledge and Systems Engineering (KSE), November 12-14, 2020, Can Tho Viet Nam.