Data_Sheet_1_Transcriptomes of Different Tissues of Flax (Linum usitatissimum L.) Cultivars With Diverse Characteristics.pdf (201.22 kB)
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posted on 08.12.2020, 16:15 by Alexey A. Dmitriev, Roman O. Novakovskiy, Elena N. Pushkova, Tatiana A. Rozhmina, Alexander A. Zhuchenko, Nadezhda L. Bolsheva, Artemy D. Beniaminov, Vladimir A. Mitkevich, Liubov V. Povkhova, Ekaterina M. Dvorianinova, Anastasiya V. Snezhkina, Anna V. Kudryavtseva, George S. Krasnov, Nataliya V. MelnikovaThe full text of this article can be freely accessed on the publisher's website.
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References
- https://doi.org//10.17816/ecogen16126
- https://doi.org//10.1016/j.indcrop.2019.111984
- https://doi.org//10.1093/bioinformatics/btu170
- https://doi.org//10.1007/s00122-018-3266-4
- https://doi.org//10.3390/nano8121069
- https://doi.org//10.3389/fchem.2017.00082
- https://doi.org//10.3389/fpls.2016.01920
- https://doi.org//10.1186/s12870-017-1192-2
- https://doi.org//10.1186/s12870-019-1641-1
- https://doi.org//10.1186/s12870-016-0927-9
- https://doi.org//10.1093/bioinformatics/bts635
- https://doi.org//10.3389/fpls.2018.01249
- https://doi.org//10.1093/bioinformatics/btw354
- https://doi.org//10.3389/fpls.2016.01766
- https://doi.org//10.1016/j.tplants.2019.08.004
- https://doi.org//10.1007/s11103-016-0571-7
- https://doi.org//10.1038/s41598-018-32869-2
- https://doi.org//10.1007/s13197-013-1247-9
- https://doi.org//10.1016/j.gene.2017.05.002
- https://doi.org//10.1186/s12937-015-0059-3
- https://doi.org//10.3389/fgene.2018.00641
- https://doi.org//10.1101/gr.129684.111
- https://doi.org//10.1016/j.biochi.2010.02.027
- https://doi.org//10.1007/s11033-012-1450-1
- https://doi.org//10.1515/1544-6115.1826
- https://doi.org//10.1016/j.ejphar.2019.02.022
- https://doi.org//10.1038/s41588-019-0443-6
- https://doi.org//10.1071/FP17105
- https://doi.org//10.18699/VJ19.564
- https://doi.org//10.1152/ajpheart.00400.2017
- https://doi.org//10.1016/j.jplph.2017.11.015
- https://doi.org//10.1093/bioinformatics/btq033
- https://doi.org//10.1093/bioinformatics/btp616
- https://doi.org//10.15389/agrobiology.2016.3.310eng
- https://doi.org//10.30766/2072-9081.2020.21.2.133-140
- https://doi.org//10.1080/10408390903537241
- https://doi.org//10.1007/s00122-018-3252-x
- https://doi.org//10.1111/j.1365-313X.2012.05093.x
- https://doi.org//10.3390/ijms20020369
- https://doi.org//10.1016/j.plantsci.2019.06.004
- https://doi.org//10.1111/tpj.13944
- https://doi.org//10.1016/j.gene.2014.07.053
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Categories
- Gene and Molecular Therapy
- Biomarkers
- Genetics
- Genetically Modified Animals
- Developmental Genetics (incl. Sex Determination)
- Epigenetics (incl. Genome Methylation and Epigenomics)
- Gene Expression (incl. Microarray and other genome-wide approaches)
- Livestock Cloning
- Genome Structure and Regulation
- Genetic Engineering
- Genomics
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