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58 results for “cognates”
Munda cognate set with proto-Munda reconstructions
<p>This data set contains a set of 127 cognates with reconstructions for proto-Munda and references to MKCD and Pinnow (1959). The set contains materials from Gorum, Sora, Remo, Gutob, Kharia, Juang, Gtaʔ, Santali, Mundari, Ho, Korwa, and Korku.</p>
Annotating Cognates in Phylogenetic Studies of South-East Asian Languages [Supplement]
<p>Source code and data accompanying the study "<strong>Annotating Cognates in Phylogenetic Studies of South-East Asian Languages" by M.-S. Wu and J.-M. List.</strong></p>
CLDF dataset derived from Bodt's "Lexical Cognates in Western Kho-Bwa" from 2019
<p>Cite the source of the dataset as:</p> <blockquote> <p>Bodt, Timotheus Adrianus and List, Johann-Mattis (2019): Testing the predictive strength of the comparative method: An ongoing experiment on unattested words in Western Kho-Bwa languages. Papers in Historical Phonology 4.1: 22-44.</p> </blockquote>
CLDF dataset derived from Sagart et al.'s "Sino-Tibetan Database of Lexical Cognates" from 2019
<p>Cite the source of the dataset as:</p> <blockquote> <p>Laurent Sagart, Jacques, Guillaume, Yunfan Lai, and Johann-Mattis List (2019): Sino-Tibetan Database of Lexical Cognates. Jena: Max Planck Institute for the Science of Human History.</p> </blockquote>
CLDF Dataset derived from List's "Sample Size and Cognate Detection" from 2014
<p>Cite the source of the dataset as:</p> <blockquote> <p>List, Johann-Mattis (2014): Investigating the impact of sample size on cognate detection. Journal of Language Relationship. 11. 91-102. DOI: https://doi.org/10.31826/jlr-2014-110111</p> </blockquote>
CLDF dataset derived from Heggarty, Paul & Anderson, Cormac & Scarborough, Matthew's "Indo-European Cognate Relationships database" ([IE-CoR version 1.0](https://github.com/lexibank/iecor/releases/tag/v1.0)) from 2019
<p>Cite the source of the dataset as:</p> <blockquote> <p>Heggarty, Paul & Anderson, Cormac & Scarborough, Matthew 2024. Indo-European Cognate Relationships database (IE-CoR version 1.1). Leipzig: Max Planck Institute for Evolutionary Anthropology</p> </blockquote>
SIGTYP 2022 Shared Task: Prediction of Cognate Reflexes
<p>This is the data and code underlying the SIGTYP 2022 Shared Task on Cognate Reflex Prediction.</p>
Proto-Uralic cognates (Appendix to Grünthal et al. 2022: Drastic demographic events triggered the Uralic spread)
<p>A selection of Uralic cognates and their distribution (Appendix to the paper Grünthal, R., Heyd, V., Holopainen, S., Janhunen, J., Khanina, O., Miestamo, M., Nichols, J., Saarikivi, J. & Sinnemäki, K. 2022: Drastic demographic events triggered the Uralic spread. – Diachronica. https://doi.org/10.1075/dia.20038.gru)</p>
Supplementary Data and Figures for "Myomedin replicas of gp120 V3 loop glycan epitopes of PGT121 and PGT126 antibodies as non-cognate antigens for HIV-1 broadly neutralizing antibodies"
<p>Supplementary pymol sessions for "Myomedin replicas of gp120 V3 loop glycan epitopes of PGT121 and PGT126 antibodies as non-cognate antigens for HIV-1 broadly neutralizing antibodies". Pymol sessions contain the source data for Figure 3, panels A-K.</p>
Spatial Mapping of Mobile Genetic Elements and their Cognate Hosts in Complex Microbiomes - Identifying the host taxon of a previously undescribed plasmid
<p>We investigated the taxonomic association of an unknown plasmid within a plaque biofilm of a patient diagnosed with stage 3 periodontitis. We combined long- and short- read sequencing to identify a complete plasmid with minimal homology to any sequence in the RefSeq database. The plasmid carried several predicted genes for mobilization and toxin-antitoxin systems. We designed MGE-FISH probes for the plasmid and combined this MGE-FISH stain with an 18-genera HiPR-FISH panel.</p> <p>Images are labeled by collection time such that the laser order for a given field of view (fov) is: 488nm Lambda, 514nm Lambda, 561nm Lambda, 633nm Airyscan, 405nm Lambda. We used Flye (https://github.com/fenderglass/Flye) to assemble the plasmid using long read Nanopore sequencing only and we used OPERA-MS (https://github.com/CSB5/OPERA-MS) to do hybrid assembly with Illumina short reads and Nanopore long reads. The assemblies are in the fasta files and the reads that map to the assemblies are in the fastq files. </p>
Spatial Mapping of Mobile Genetic Elements and their Cognate Hosts in Complex Microbiomes - Combined MGE and taxonomic mapping
<p>We used rRNA-FISH to stain five common oral genera, <em>Veillonella, Streptococcus, Corynebacterium, Lautropia, </em>and <em>Neisseria, </em>each with a different fluorophore, and we used MGE-FISH to stain the <em>termL</em> gene of the active prophage with a sixth fluorophore.</p> <p>We assembled contigs using combined long- and short-read sequencing and identified a highly abundant plasmid. Alignment of this contig to the plasmid database (PLSDB) showed that the plasmid had previously been observed in <em>Prevotella nigrescens</em> (https://www.ncbi.nlm.nih.gov/datasets/genome/GCF_018127865.1/). We selected two genes from the contig with metallo-β-lactamase (MBL) domains as targets for MGE-FISH (https://www.uniprot.org/uniprotkb/V8CNR4/entry, https://www.uniprot.org/uniprotkb/V8CNR9/entry). We stained both putative MBL genes (<em>pMBL</em>) with the same color using MGE-FISH. For taxonomic mapping, we broadened our target panel by employing HIPR-FISH. We selected a target panel of 18 genera that are highly abundant and prevalent in human plaque. We designed a HiPR-FISH spectral encoding using a 5-fluorophore combinatorial barcoding scheme, whereby each fluorophore represents a binary bit, providing 31 possible barcodes (2^5 - 1 = 31). The fluorophore for MGE-FISH was spectrally distinct from those of HiPR-FISH, enabling simultaneous implementation of both methods.</p> <p>Images are labeled by collection time such that the laser order for a given field of view (fov) is: 488nm Lambda, 514nm Lambda, 561nm Lambda, 633nm Airyscan, 405nm Lambda. We used OPERA-MS (https://github.com/CSB5/OPERA-MS) to do hybrid assembly with Illumina short reads and Nanopore long reads. The assemblies are in the fasta files and the reads that map to the assemblies are in the fastq files. </p>
Pama-Nyungan cognate judgements: 285 languages
<p>Tab-delimited export from Filemaker Pro of language data for 285 Pama-Nyungan languages, with cognate judgements. Based on NSF grants BCS-1423711 and BCS-0844550. This file contains the language name, subgroup, word, and multistate cognate judgement. For source information, see pamanyungan.net/chirila.</p> <p>Acknowledgement of the material is required for any derivative use.</p> <p>cf <a href="https://zenodo.org/record/3032846">https://zenodo.org/record/3032846</a> for some examples of work resulting from the dataset.</p>
IsoAnalyst: A System-Wide Stable Isotopic Labeling Aproach for Connecting Natural Products to Their Cognate Biosynthetic Gene Clusters
<p>Processed mass spectrometry data input used to develop and validate the IsoAnalyst program and the output from these analyses. The S_erythraea folder contains all MS input and output data for <em>Saccharopolyspora erythraea</em>. The Micromonospora_RL09050HVFA folder contains MS input and output data for <em>Micromonopora sp.</em> RL09050HVFA, as well as the full antiSMASH output for the <em>Micromonopora sp.</em> RL09050HVFA genome.</p> <p>Version 2 contains updated IsoAnalyst results for both organisms. </p>
Data for "Dataset for Temporal Analysis of English-French Cognates"
<p>This is the data for the LREC 2020 paper "Dataset for Temporal Analysis of English-French Cognates". If you use this resource, please cite the paper:</p> <pre><code>@inproceedings{frossard2020dataset, title = "Dataset for Temporal Analysis of {E}nglish-{F}rench Cognates", author = {Frossard, Esteban and Coustaty, Micka\"el and Doucet, Antoine and Jatowt, Adam and Hengchen, Simon}, booktitle = "Proceedings of the Eighth International Conference on Language Resources and Evaluation ({LREC}'20)", year = "2020", location = "Marseille" }</code></pre> <p> </p> <p>This work has been supported by the European Union Horizon 2020 research and innovation programme under grants 825153 (Embeddia) and 770299 (NewsEye).</p>
Indo-European lexical cognate data
<p>This lexical cognate data was exported from the <a href="http://ielex.mpi.nl/">Indo-European Lexical Database</a> (IELex) supporting the publication:</p> <blockquote> <p>Verkerk, Annemarie. (2018). Detecting non-tree-like signal using multiple tree topologies. Journal of Historical Linguistics.</p> </blockquote> <p>If you are looking to use the IELex data in your own research, we recommend you use <a href="https://zenodo.org/record/5556801">the latest version</a>, which is available along with documentation, phylogenetic tree samples and example BEAST control scripts.</p>
The origin and expansion of Pama–Nyungan languages across Australia: Cognate Data
<p>Cognate judgment data and perl script to convert the multistate cognate judgments to a binary matrix for use with Beast. Note that the perl code was developed for internal research purposes. </p>
Chemically modified tRNA enhances the translation capacity of mRNA rich in cognate codons [Ribo-Seq]
GEO Series GSE301911. Homo sapiens. 6 samples. Type: Other.
Structure of examined circular RNAs and some of their linear cognate RNAs
GEO Series GSE126195. Homo sapiens. 46 samples. Type: Other.
Proline 152 mutation in p53 abolishes cognate DNA binding, induces gain of function tumorigenesis
GEO Series GSE119654. Homo sapiens. 4 samples. Type: Expression profiling by high throughput sequencing.
Queuosine modification protects cognate tRNAs against ribonuclease cleavage
GEO Series GSE102570. Homo sapiens. 4 samples. Type: Other.
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International Brain Laboratory public data
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