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242 results for “maximum likelihood”
FIGURE 2. Maximum Likelihood tree based upon a in A New Megophrys Kuhl and Van Hasselt (Amphibia: Megophryidae) from southwestern Sumatra, Indonesia
FIGURE 2. Maximum Likelihood tree based upon a ~427 bp fragment of 16S rRNA gene for Megophrys lancip sp. nov., along with all representatives Sundaland and Philippine Megophrys species. Values at branches indicate Maximum Likelihood Bootstrap Proportion (MLBP), Bayesian Posterior Probabilities (BPP), and Neighbour Joining Bootstrap Proportion (NJBP).
FIGURE 6. Maximum likelihood tree constructed using COI sequences with GenBank accession numbers. Bootstrap support values were calculated with a rapid bootstrapping algorithm for 1000 in Branchinotogluma bipapillata n. sp., a new branchiate scale worm (Annelida: Polynoidae) from two hydrothermal fields on the Southwest Indian Ridge
FIGURE 6. Maximum likelihood tree constructed using COI sequences with GenBank accession numbers. Bootstrap support values were calculated with a rapid bootstrapping algorithm for 1000 replicates in Raxml, and only those higher than 50 were shown.
FIGURE 2. Cladogram using Maximum likelihood with concatenated data from Cytochrome b, 12S in A review of the relationships of Xenochrophis cerasogaster Cantor, 1839 (Serpentes: Colubridae) to its congeners
FIGURE 2. Cladogram using Maximum likelihood with concatenated data from Cytochrome b, 12S rRNA, and ND4 gene sequences with Coelognathus radiatus as the out-group (Red: specimens from Northern Assam, Blue: Specimen from Southern Assam, Green: Specimen from Hyderabad)
FIGURE 2. Maximum Likelihood tree for Acanthephyra COI sequences with 1000 in First record of deep-sea caridean shrimp Acanthephyra fimbriata Alcock & Anderson, 1894 (Crustacea: Decapoda: Acanthephyridae) from southwest coast of India
FIGURE 2. Maximum Likelihood tree for Acanthephyra COI sequences with 1000 bootstrap showing the relationship of the specimen with other related species.
FIGURE 3. Maximum Likelihood tree for Acanthephyra 16S sequences showing with 1000 in First record of deep-sea caridean shrimp Acanthephyra fimbriata Alcock & Anderson, 1894 (Crustacea: Decapoda: Acanthephyridae) from southwest coast of India
FIGURE 3. Maximum Likelihood tree for Acanthephyra 16S sequences showing with 1000 bootstrap the relationship of the specimen with other related species.
Fig. 3. Maximum likelihood-2 in A dated molecular perspective of eucalypt taxonomy, evolution and diversification
Fig. 3. Maximum likelihood-2 (ML-2) analysis using the concatenated dataset of internal transcribed spacer (ITS), external transcribed spacer (ETS), matK and psbA–trnH, labelled with the informal higher-level groups mesicalypts (3 genera) and newcalypt (1 genus), the eucalypt genus Angophora, and all eucalypt subgenera as classified by Nicolle (2015b). Numbers at nodes in the larger phylogeny represent the penalised-likelihood estimated age. Numbers after each name in the inset box represent the number of terminals in the clade and numbers at nodes represent the bootstrap value in the ML analysis. Ma represents millions of years as returned for each penalised-likelihood dating analysis (a summary of estimated ages is provided in Table 2).
Fig. 2. Maximum likelihood-1 in A dated molecular perspective of eucalypt taxonomy, evolution and diversification
Fig. 2. Maximum likelihood-1 (ML-1) analysis using the concatenated dataset of internal transcribed spacer (ITS), external transcribed spacer (ETS), matK and psbA–trnH, labelled with the informal higher-level groups mesicalypts (3 genera) and newcalypt (1 genus), the eucalypt genus Angophora, and all eucalypt subgenera as classified by Nicolle (2015b). Numbers at nodes in the larger phylogeny represent the penalised-likelihood estimated age. The numbers after each name in the inset box represent the number of terminals in the clade and numbers at nodes represent the bootstrap value in the ML analysis. Ma represents millions of years as returned for each penalised-likelihood dating analysis (a summary of estimated ages is provided in Table 2).
FIGURE 2. Maximum Likelihood tree for 19 in Rediscovery of Micryletta inornata (Boulenger, 1890) from Sumatra: redescription, molecular identity, and taxonomic implications
FIGURE 2. Maximum Likelihood tree for 19 samples of the genus Micryletta based on ~435 bp fragment of the mitochondrial 16S rRNA gene. Values at the branches indicate Maximum Likelihood Bootstrap Support (MLBS) and Bayesian Posterior Probabilities (BPP), respectively.
Fig. 3 Maximum likelihood tree with 74 in Molecular evidence for the origin and evolutionary history of the rare American desert monotypic family Setchellanthaceae
Fig. 3 Maximum likelihood tree with 74 representative species of the families of the orders Brassicales and Malvales. Asterisks indicate nodal age constraints for the relaxed molecular clock analyses
FIGURE 3. Maximum Likelihood tree generated from the combined ITS and LSU sequences. Bootstrap support values above 50 in A new species of Naematelia (Tremellales, Basidiomycota) from India
FIGURE 3. Maximum Likelihood tree generated from the combined ITS and LSU sequences. Bootstrap support values above 50 are indicated above branches. The new species is indicated in bold. Holotype is represented in red color. Cryptococcus depauperatus was set as the outgroup.
FIGURE 4. Best maximum likelihood phylogenies, A in On the origin and systematic position of the Azorean goldenrod, Solidago azorica (Asteraceae)
FIGURE 4. Best maximum likelihood phylogenies, A—based on the combined nuclear ribosomal ETS and ITS regions (1134 basepairs); B—based on the plastid trnQ-rps16 and trnH-psbA regions (1410 basepairs). Likelihood bootstrap values>60 shown at the nodes. Solidago azorica highlighted in red, S. sempervirens in green; GB-sequence downloaded from GenBank.
FIGURE 5. Maximum-likelihood tree obtained from a in Unravelling the diversity behind the Ophiocordyceps unilateralis (Ophiocordycipitaceae) complex: Three new species of zombie-ant fungi from the Brazilian Amazon
FIGURE 5. Maximum-likelihood tree obtained from a concatenated dataset of three genes (nu-SSU, nu-LSU, ITS) showing the placement of O.camponoti-atricipis, O. camponoti-bispinosi and O. camponoti-indiani within Ophiocordyceps unilateralis complex and relative to other Ophiocordycipitaceae species. Numbers above branches indicate bootstrap scores>70 (ML/MP).
FIGURE 37. Maximum likelihood phylogram inferred from a in Entomoneis tenera sp. nov., a new marine planktonic diatom (Entomoneidaceae, Bacillariophyta) from the Adriatic Sea
FIGURE 37. Maximum likelihood phylogram inferred from a concatenated dataset of two markers: rbcL and psbC. Branch support is summarized above branches as ML Bayesian posterior probabilities (BPP)/bootstrap values (BS). Taxon labels are indicated as name (in italic) strain (in bold). Canal raphe bearing diatoms (Surirellales, Rhopalodiales and Bacilarialles) are indicated on the right side of phylogram. ML tree is based on GTR+G+I evolutionary model with 1,000 bootstrap replicates and 40M Bayesian generations. The tree is rooted with Eunotia glacialis (FD46) and Eunotia pectinalis (NIES461). BPP/BS values of 1.0/100 are indicated with asterisk (*) and values below 0.5/50 are indicated with dash (-).
FIGURE 36. Maximum likelihood phylogram inferred from a in Entomoneis tenera sp. nov., a new marine planktonic diatom (Entomoneidaceae, Bacillariophyta) from the Adriatic Sea
FIGURE 36. Maximum likelihood phylogram inferred from a concatenated dataset of three markers: SSU, rbcL and psbC. Branch support is summarized above branches as ML Bayesian posterior probabilities (BPP)/bootstrap values (BS). Taxon labels are indicated as name (in italic) strain (in bold). Canal raphe bearing diatoms (Surirellales, Rhopalodiales and Bacilarialles) are indicated on the right side of phylogram. ML tree is based on GTR+G+I evolutionary model with 1,000 bootstrap replicates and 60M Bayesian generations. The tree is rooted with Eunotia glacialis (FD46) and Eunotia pectinalis (NIES461). BPP/BS values of 1.0/100 are indicated with asterisk (*) and values below 0.5/50 are indicated with dash (-).
FIGURE 4. Maximum likelihood tree established under TIM3e in Berteroa physocarpa (Brassicaceae), a new species from NW Turkey based on morphological and molecular data
FIGURE 4. Maximum likelihood tree established under TIM3e+G model of DNA substitution in W-IQ-TREE in an analysis of 14 ITS sequences from 11 taxa. Ultrafast bootstrap values are indicated from 1000 replicates.
FIGURE 1. Maximum likelihood tree generated using a in Russula darjeelingensis, a new species from Eastern Himalaya, India
FIGURE 1. Maximum likelihood tree generated using a HYK+G model of nucleotide evolution. Maximum likelihood bootstrap values> 50% (left of /) and Bayesian posterior probabilities> 0.50 (to the right). The scale bar represents the number of expected changes per site. Lactarius torminosus, L. indigo, L. subindigo and L. deliciosus were selected as outgroup taxa for rooting purpose. Russula darjeelingensis is placed in bold font to highlight its phylogenetic position in the tree. Categorizations of Russula species within the tree follows the classification of Hongsanan et al. (2015) and Sarnari (1998).
FIGURE 1. Maximum Likelihood tree inferred from the rpb2 in Pseudolepiota zangmui gen. et sp. nov. (Agaricaceae, Basidiomycota), a new white-spored mushroom from China
FIGURE 1. Maximum Likelihood tree inferred from the rpb2 data set. Bootstrap values>50 are indicated along nodes. The new taxa are shown in bold face.
FIGURE 4. Maximum likelihood tree showing the seven Moraceae tribes. Unlabeled nodes had 100 in Delimitation of the new tribe Parartocarpeae (Moraceae) is supported by a 333- gene phylogeny and resolves tribal level Moraceae taxonomy
FIGURE 4. Maximum likelihood tree showing the seven Moraceae tribes. Unlabeled nodes had 100% bootstrap support in both analyses. Labeled nodes show support from maximum likelihood analysis, with support from the ASTRAL species tree reconciliation in parentheses.
FIGURE 1. The single tnt generated maximum likelihood cladogram showing internal cladistic relationships within Seraphsidae Jung, 1974 in Resolving phylogenetic and classical nomenclature: A revision of Seraphsidae Jung, 1974 (Gastropoda: Neostromboidae)
FIGURE 1. The single tnt generated maximum likelihood cladogram showing internal cladistic relationships within Seraphsidae Jung, 1974.
FIGURE 1. The maximum likelihood majority rule consensus tree for the analyzed Pseudorobillarda and related taxa. RAxML bootstrap support values above 50 in Morphology and phylogeny of Pseudorobillarda eucalypti sp. nov., from Thailand
FIGURE 1. The maximum likelihood majority rule consensus tree for the analyzed Pseudorobillarda and related taxa. RAxML bootstrap support values above 50% (ML) are given at the nodes. Phylogeny tree is rooted to Schismatomma decolorans.
ScienceDex guides
Understand access before you commit
These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.