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        ID:DATApla4
        New datasetUpdated dataset

        1000 Plant Transcriptomes 63069 45

        2020-05-22

        Creator: wanglina1@genomics.cn

        1000 Plant (1KP) Transcriptomes is a large-scale international multidisciplinary consortium acquiring data from over 1,000 plant species(from angiosperms to algae) based on the next generation sequencing technology.

        Access is freely given but if you publish using the data we would appreciate that you cite the following manuscripts.

        J.H. Leebens-Mack, M.S. Barker, E.J. Carpenter, M.K. Deyholos, M.A. Gitzendanner, S.W. Graham, I. Grosse, Z. Li, M. Melkonian, S. Mirarab, ... G.K. Wong. Oct 2019. One thousand plant transcriptomes and the phylogenomics of green plants. Nature 574: 679-685. PMID: 31645766. DOI: 10.1038/s41586-019-1693-2

        E.J. Carpenter, N. Matasci, S. Ayyampalayam, S. Wu, J. Sun, J. Yu, F.R. Jimenez Vieira, C. Bowler, R.G. Dorrell, M.A. Gitzendanner, ... G.K. Wong. Oct 2019. Access to RNA-sequencing data from 1173 plant species: The 1000 plant transcriptomes initiative (1KP). GigaScience 8: giz126. PMID: 31644802. DOI: 10.1093/gigascience/giz126

        SRA data download: http://ftp.cngb.org/pub/Dataset/datapla4/

        Assembly data download: ftp://parrot.genomics.cn/gigadb/pub/10.5524/100001_101000/100627/assemblies/

        The latest sample list: http://www.onekp.com/samples/list.php

        Transcriptomeslarge-scaleOneKP

        P-

          Source:  CNGB Project  ( ID CNPhis0002810 )

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        Project ID Sample IDExperiment IDRun IDOrganismPlatformLibrary layoutFile
        Project IDSample IDAssembly IDOrganismMolecule typeGenome representationUpdated file
        Comment: SRA data download: (ftp://ftp.cngb.org/pub/Dataset/datapla4/). Assembly data download：(ftp://parrot.genomics.cn/gigadb/pub/10.5524/100001_101000/100627/assemblies/).
        https://db.cngb.org
        https://db.cngb.org/data_access/

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        Referenced accession ID :

        The dataset references CNPhis0002810, thanks to the submitters and researchers of the data.

        How to site the dataset :

        To respect the results of the dataset creator and updater, it is recommended to reference the dataset accession ID in the article ：

        The dataset that support this study is DATAXXXXXX which was created in CNGBdb（https://db.cngb.org）

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