Macias, Nuria · Figshare · 2024
Supplementary material of Macías-Hernández, N., Domenech, M., Cardoso, P., Emerson, B.C., Borges, P.A.V., Paulo, O., Vieira, A., Amorim, I.R., Rigal, F., Lozano-Fernandez, J., 2020. Building-up of a robust, densely sampled spider tree of life for assessing phylogenetic diversity at the community level. Diversity 12, 288–288. https://doi.org/10.3390/d12080288.Table S1. Taxa included in the matrices of Macaronesia (Mac) and the Iberian Peninsula (IB), including COI barcode and 28S GenBank accession numbers. Table S2. Taxa added to the backbone matrix, including accession numbers of the transcriptomes and of every gene, or F if the gene sequence was extracted from the transcriptomes by Fernández et al. (2018) [44]. Table S3. Taxa and genetic markers included in the backbone matrix [43]. Table S4. Information on the plots, taxonomic diversity (TD) and values of phylogenetic diversity (PD) estimated with every tree. *PD values of the non-ultrametric tree Lc128 were rescaled by dividing them by 2, to make them comparable to the remaining PD values. Table S5. Ranking of the plots according to the phylogenetic diversity (PD) values obtained with every tree. Table S6. Comparison of the phylogenetic diversity values obtained against null models and possible ecological processes behind cases with significant di erences. PDc: PD clustering; PDov: PD overdispersion. ** Indicates statistical significance with the two-tailed test (p-value < 0.05).Figure S1. General representation of the final reference tree in pdf. BLc128_tc_cal (time-calibrated tree built with a backbone and a topological constraint using COI and 28S information). All genetic matrices and phylogenetic trees used in this study are available at the Zenodo Digital Repository at 10.5281/zenodo.3941691 (matrices) and 10.5281/zenodo.3941712 (trees).
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Vince D. Calhoun, Ph. D, Brain Function · 2016
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Bergero, Roberta, Gardner, Jim, Bader, Beth et al. · Figshare · 2019
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Macias, Nuria · Figshare · 2024
Supplementary material of Macías-Hernández, N., Domenech, M., Cardoso, P., Emerson, B.C., Borges, P.A.V., Paulo, O., Vieira, A., Amorim, I.R., Rigal, F., Lozano-Fernandez, J., 2020. Building-up of a robust, densely sampled spider tree of life for assessing phylogenetic diversity at the community level. Diversity 12, 288–288. https://doi.org/10.3390/d12080288.Table S1. Taxa included in the matrices of Macaronesia (Mac) and the Iberian Peninsula (IB), including COI barcode and 28S GenBank accession numbers. Table S2. Taxa added to the backbone matrix, including accession numbers of the transcriptomes and of every gene, or F if the gene sequence was extracted from the transcriptomes by Fernández et al. (2018) [44]. Table S3. Taxa and genetic markers included in the backbone matrix [43]. Table S4. Information on the plots, taxonomic diversity (TD) and values of phylogenetic diversity (PD) estimated with every tree. *PD values of the non-ultrametric tree Lc128 were rescaled by dividing them by 2, to make them comparable to the remaining PD values. Table S5. Ranking of the plots according to the phylogenetic diversity (PD) values obtained with every tree. Table S6. Comparison of the phylogenetic diversity values obtained against null models and possible ecological processes behind cases with significant di erences. PDc: PD clustering; PDov: PD overdispersion. ** Indicates statistical significance with the two-tailed test (p-value < 0.05).Figure S1. General representation of the final reference tree in pdf. BLc128_tc_cal (time-calibrated tree built with a backbone and a topological constraint using COI and 28S information). All genetic matrices and phylogenetic trees used in this study are available at the Zenodo Digital Repository at 10.5281/zenodo.3941691 (matrices) and 10.5281/zenodo.3941712 (trees).
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Macias, Nuria · Figshare · 2024
Supplementary material of Macías-Hernández, N., Domenech, M., Cardoso, P., Emerson, B.C., Borges, P.A.V., Paulo, O., Vieira, A., Amorim, I.R., Rigal, F., Lozano-Fernandez, J., 2020. Building-up of a robust, densely sampled spider tree of life for assessing phylogenetic diversity at the community level. Diversity 12, 288–288. https://doi.org/10.3390/d12080288.Table S1. Taxa included in the matrices of Macaronesia (Mac) and the Iberian Peninsula (IB), including COI barcode and 28S GenBank accession numbers. Table S2. Taxa added to the backbone matrix, including accession numbers of the transcriptomes and of every gene, or F if the gene sequence was extracted from the transcriptomes by Fernández et al. (2018) [44]. Table S3. Taxa and genetic markers included in the backbone matrix [43]. Table S4. Information on the plots, taxonomic diversity (TD) and values of phylogenetic diversity (PD) estimated with every tree. *PD values of the non-ultrametric tree Lc128 were rescaled by dividing them by 2, to make them comparable to the remaining PD values. Table S5. Ranking of the plots according to the phylogenetic diversity (PD) values obtained with every tree. Table S6. Comparison of the phylogenetic diversity values obtained against null models and possible ecological processes behind cases with significant di erences. PDc: PD clustering; PDov: PD overdispersion. ** Indicates statistical significance with the two-tailed test (p-value < 0.05).Figure S1. General representation of the final reference tree in pdf. BLc128_tc_cal (time-calibrated tree built with a backbone and a topological constraint using COI and 28S information). All genetic matrices and phylogenetic trees used in this study are available at the Zenodo Digital Repository at 10.5281/zenodo.3941691 (matrices) and 10.5281/zenodo.3941712 (trees).
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Zimmer, Stefanie M., Krehenwinkel, Henrik, Schneider, Jutta M. · DRYAD · 2014
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DigitalGeorgetown (Georgetown University Library) · 2000
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DigitalGeorgetown (Georgetown University Library) · 2011
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mestrallet, guillaume · Mendeley Data · 2025
ScRNAseq (123, 184 = WT, 266, 240, 259 = MSH2KO, 292, 287, 286 = WTantiPD1, 316, 257, 258 = MSH2 KOantiPD1), TCRseq and spatial RNAseq (n3 = WT, n7 = MSH2KO, n35 = WTantiPD1, n46 = MSH2 KOantiPD1) data of MMRd and WT CT26 tumors.
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Harrison, Joshua, Philbin, Casey, Gompert, Zach et al. · DRYAD · 2018
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DeFaveri, Jacquelin, Merilä, Juha · DRYAD · 2015
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Montgomery Slatkin, Wayne P. Maddison · Systematic Biology · 1991
Journal Article Genetic Data Analysis: Methods for Discrete Population Genetic Data Get access Montgomery Slatkin, Montgomery Slatkin Department of Integrative Biology, University of California, BerkeleyCalifornia 94720, USA Search for other works by this author on: Oxford Academic PubMed Google Scholar Wayne P. Maddison Wayne P. Maddison Department of Ecology and Evolutionary Biology, University of ArizonaTucson, Arizona 85721, USA Search for other works by this author on: Oxford Academic PubMed Google Scholar Systematic Biology, Volume 40, Issue 2, June 1991, Pages 248–249, https://doi.org/10.1093/sysbio/40.2.248 Published: 01 June 1991
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Gary A. Chase, B. S. Weir · Journal of the American Statistical Association · 1991
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Montgomery Slatkin, Wayne P. Maddison, B. S. Weir · Systematic Zoology · 1991
The interpretation of discrete genetic data lies at the heart of population and evolutionary genetics, yet basic statistics courses and texts generally concentrate on continuous variables. In Genetic Data Analysis a full account of the methodology appropriate for count data is presented. Starting with the basic idea of estimating gene frequencies, and proceeding through a wide range of topics to building phyilogenetic trees, the book contains the tools for analyzing genetic data on morphological characters, isozyme frequencies, restriction fragment patterns, and DNA sequences. Throughout the book, the importance of clarifying the sampling frame is stressed. For example, if conclusions are to be drawn about a single population, then only statistical sampling needs to be incorporated into expressions for variances of genetic parameter estimates. If conclusions are to be made on a wider basis, perhaps about a whole species, then the genetical sampling between generations that can cause local populations to differ must also be accommodated. This distinction is becoming increasingly important in the analysis of DNA sequence data, as the ability increases to generate multiple sequences of a particular region.
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Harrison, Joshua G., Gompert, Zachariah, Fordyce, James A. et al. · DRYAD · 2016
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Song'an Shang · Figshare · 2020
genetic date of Parkinson's disease
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Gary Rischitelli · Journal of Occupational and Environmental Medicine · 1996
The Author Replies: I appreciate Mr. Uzych's comments regarding the collection, use, and dissemination of genetic data in the workplace. He highlights one of the many difficult issues that arise at the intersection of science, technology, law, and public policy. My article on confidentiality was written to provide an overview of the major ethical and legal considerations regarding medical information and to serve as a background document for the accompanying position paper on confidentiality (J Occup Environ Med. 1995;37:594-596). Unfortunately, the breadth and complexity of confidentiality issues required that some topics be excluded: because the American College of Occupational and Environmental Medicine has addressed the issue of genetic information in previous position papers, I did not revisit it. Gary Rischitelli, MD, JD, MPH Fellow; The Johns Hopkins University
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Torres, Hector · Figshare · 2024
All of the Files used in order to process the Genomic Data Set and the output files
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Naomi Karmi (11450110), Amber Bangma (11450113), Lieke M. Spekhorst (3142986) et al. · Figshare · 2021
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Jin, Hongyu · Figshare · 2024
The genetic marker data for the paper "Imitating the ‘breeder’s eye’: predicting grain yield from measurements of non-yield traits". https://www.biorxiv.org/content/10.1101/2023.11.29.568906v1
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