Zobrazeno 1 - 10
of 53
pro vyhledávání: '"Md. Shamsuzzoha Bayzid"'
Publikováno v:
BMC Ecology and Evolution, Vol 24, Iss 1, Pp 1-20 (2024)
Abstract 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 sampled, resulting in an identical optimality score for a given data set. This was fi
Externí odkaz:
https://doaj.org/article/025e01c1c0ea4de6a5d3b4ff22f3ae21
Autor:
Nilanjan Roy, Acramul Haque Kabir, Nourin Zahan, Shahba Tasmiya Mouna, Sakshar Chakravarty, Atif Hasan Rahman, Md. Shamsuzzoha Bayzid
Publikováno v:
Plant Direct, Vol 8, Iss 6, Pp n/a-n/a (2024)
Abstract Rice genetic diversity is regulated by multiple genes and is largely dependent on various environmental factors. Uncovering the genetic variations associated with the diversity in rice populations is the key to breed stable and high yielding
Externí odkaz:
https://doaj.org/article/89c5f4b5885c46848025d34dc6ba94c3
Publikováno v:
BMC Genomics, Vol 21, Iss 1, Pp 1-14 (2020)
Abstract Background 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 comparative and evolutionary biology. However, substantial challenges remain i
Externí odkaz:
https://doaj.org/article/2f12956c08664000a1783d152bc5cbf1
Publikováno v:
BMC Genomics, Vol 21, Iss 1, Pp 1-13 (2020)
Abstract Background Species tree estimation is frequently based on phylogenomic approaches that use multiple genes from throughout the genome. However, estimating a species tree from a collection of gene trees can be complicated due to the presence o
Externí odkaz:
https://doaj.org/article/44cd1c3b81034255916d09e37be222b3
Publikováno v:
PLoS ONE, Vol 17, Iss 4 (2022)
Background High-throughput experimental technologies are generating tremendous amounts of genomic data, offering valuable resources to answer important questions and extract biological insights. Storing this sheer amount of genomic data has become a
Externí odkaz:
https://doaj.org/article/baf77b93b4f747acbbe919e588f6f28d
Publikováno v:
Biology, Vol 11, Iss 8, p 1212 (2022)
Phylogenetic identification of unknown sequences by placing them on a tree is routinely attempted in modern ecological studies. Such placements are often obtained from incomplete and noisy data, making it essential to augment the results with some no
Externí odkaz:
https://doaj.org/article/e8d20c4a91c34e0ea9ab1cca4c2f5d7d
Publikováno v:
The Protein Journal. 42:135-146
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a810610847ff3570cb6054ca4b870bc6
https://doi.org/10.1007/s10930-023-10096-7
https://doi.org/10.1007/s10930-023-10096-7
Autor:
Md Shamsuzzoha Bayzid, Tandy Warnow
Publikováno v:
Algorithms for Molecular Biology, Vol 13, Iss 1, Pp 1-12 (2018)
Abstract Motivation 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 trees from multiple gene trees. In its standard formulation, the o
Externí odkaz:
https://doaj.org/article/524edca487054b8981b57e4089eba959
Publikováno v:
IEEE Transactions on Cybernetics. 52:2775-2786
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. Generally, the MSA task is handled as a single-objective optimization process. The alignmen
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3e0016a5cfed7f6202563e9890dab02d
https://doi.org/10.1109/tcyb.2020.3020308
https://doi.org/10.1109/tcyb.2020.3020308
Motivation Protein structure provides insight into how proteins interact with one another as well as their functions in living organisms. Protein backbone torsion angles (ϕ and ψ) prediction is a key sub-problem in predicting protein structures. Ho
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fe73f7bbb049168abc32d2c0231cacdc
https://doi.org/10.1101/2022.12.08.519543
https://doi.org/10.1101/2022.12.08.519543
