Search Results - "Bayzid, Md Shamsuzzoha"
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Statistical binning enables an accurate coalescent-based estimation of the avian tree
Published in Science (American Association for the Advancement of Science) (12-12-2014)“…Gene tree incongruence arising from incomplete lineage sorting (ILS) can reduce the accuracy of concatenation-based estimations of species trees. Although…”
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Machine learning based imputation techniques for estimating phylogenetic trees from incomplete distance matrices
Published in BMC genomics (20-07-2020)“…With the rapid growth rate of newly sequenced genomes, species tree inference from genes sampled throughout the whole genome has become a basic task in…”
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Accurate phylogenetic tree reconstruction from quartets: a heuristic approach
Published in PloS one (12-08-2014)“…Supertree methods construct trees on a set of taxa (species) combining many smaller trees on the overlapping subsets of the entire set of taxa. A 'quartet' is…”
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STELAR: a statistically consistent coalescent-based species tree estimation method by maximizing triplet consistency
Published in BMC genomics (10-02-2020)“…Species tree estimation is frequently based on phylogenomic approaches that use multiple genes from throughout the genome. However, estimating a species tree…”
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Biological computation and computational biology: survey, challenges, and discussion
Published in The Artificial intelligence review (01-08-2021)“…Biological computation involves the design and development of computational techniques inspired by natural biota. On the other hand, computational biology…”
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CHAPAO: Likelihood and hierarchical reference-based representation of biomolecular sequences and applications to compressing multiple sequence alignments
Published in PloS one (18-04-2022)“…High-throughput experimental technologies are generating tremendous amounts of genomic data, offering valuable resources to answer important questions and…”
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Evaluation of classification and forecasting methods on time series gene expression data
Published in PloS one (06-11-2020)“…Time series gene expression data is widely used to study different dynamic biological processes. Although gene expression datasets share many of the…”
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Multiobjective Formulation of Multiple Sequence Alignment for Phylogeny Inference
Published in IEEE transactions on cybernetics (01-05-2022)“…Multiple sequence alignment (MSA) is a preliminary task for estimating phylogenies. It is used for homology inference among the sequences of a set of species…”
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Quartet-based inference of cell differentiation trees from ChIP-Seq histone modification data
Published in PloS one (26-09-2019)“…Understanding cell differentiation-the process of generation of distinct cell-types-plays a pivotal role in developmental and evolutionary biology…”
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CD-MAWS: An Alignment-Free Phylogeny Estimation Method Using Cosine Distance on Minimal Absent Word Sets
Published in IEEE/ACM transactions on computational biology and bioinformatics (01-01-2023)“…Multiple sequence alignment has been the traditional and well established approach of sequence analysis and comparison, though it is time and memory consuming…”
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Terraces in species tree inference from gene trees
Published in BMC ecology and evolution (04-11-2024)“…A terrace in a phylogenetic tree space is a region where all trees contain the same set of subtrees, due to certain patterns of missing data among the taxa…”
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Distance-Based Phylogenetic Placement with Statistical Support
Published in Biology (Basel, Switzerland) (12-08-2022)“…Phylogenetic identification of unknown sequences by placing them on a tree is routinely attempted in modern ecological studies. Such placements are often…”
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Genome wide association studies on seven yield‐related traits of 183 rice varieties in Bangladesh
Published in Plant direct (01-06-2024)“…Rice genetic diversity is regulated by multiple genes and is largely dependent on various environmental factors. Uncovering the genetic variations associated…”
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Response to Comment on "Statistical binning enables an accurate coalescent-based estimation of the avian tree"
Published in Science (American Association for the Advancement of Science) (09-10-2015)“…Liu and Edwards argue against the use of weighted statistical binning within a species tree estimation pipeline. However, we show that their mathematical…”
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EGRET: edge aggregated graph attention networks and transfer learning improve protein–protein interaction site prediction
Published in Briefings in bioinformatics (10-03-2022)“…Abstract Motivation Protein–protein interactions (PPIs) are central to most biological processes. However, reliable identification of PPI sites using…”
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Inferring Optimal Species Trees in the Presence of Gene Duplication and Loss: Beyond Rooted Gene Trees
Published in Journal of computational biology (01-02-2023)“…Estimating species trees from multiple genes is complicated and challenging due to . One of the basic approaches to understanding differences between gene…”
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Pair-EGRET: enhancing the prediction of protein–protein interaction sites through graph attention networks and protein language models
Published in Bioinformatics (Oxford, England) (01-10-2024)“…Abstract Motivation Proteins are responsible for most biological functions, many of which require the interaction of more than one protein molecule. However,…”
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Weighted Statistical Binning: Enabling Statistically Consistent Genome-Scale Phylogenetic Analyses
Published in PloS one (18-06-2015)“…Because biological processes can result in different loci having different evolutionary histories, species tree estimation requires multiple loci from across…”
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Gene tree parsimony for incomplete gene trees: addressing true biological loss
Published in Algorithms for molecular biology (19-01-2018)“…Species tree estimation from gene trees can be complicated by gene duplication and loss, and "gene tree parsimony" (GTP) is one approach for estimating species…”
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Align-gram: Rethinking the Skip-gram Model for Protein Sequence Analysis
Published in The Protein Journal (01-04-2023)“…The inception of next generations sequencing technologies have exponentially increased the volume of biological sequence data. Protein sequences, being quoted…”
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