Table_3_Dynamic Transcriptome Sequencing of Bovine Alphaherpesvirus Type 1 and Host Cells Carried Out by a Multi-Technique Approach.XLSX (16.21 kB)
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posted on 07.04.2021, 04:38 authored by Dóra Tombácz, Norbert Moldován, Gábor Torma, Tibor Nagy, Ákos Hornyák, Zsolt Csabai, Gábor Gulyás, Miklós Boldogkői, Victoria A. Jefferson, Zoltán Zádori, Florencia Meyer, Zsolt BoldogkőiThe full text of this article can be freely accessed on the publisher's website.
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References
- https://doi.org//10.1038/sdata.2017.194
- https://doi.org//10.1016/j.tim.2019.01.010
- https://doi.org//10.1038/ncomms16027
- https://doi.org//10.1038/s41598-017-08138-z
- https://doi.org//10.1093/gigascience/gix086
- https://doi.org//10.1101/gr.849004
- https://doi.org//10.1038/s41467-019-08734-9
- https://doi.org//10.1007/s00705-016-3026-1
- https://doi.org//10.1007/s00705-012-1574-6
- https://doi.org//10.1099/vir.0.014290-0
- https://doi.org//10.1093/bioinformatics/btw313
- https://doi.org//10.1128/JVI.00516-14
- https://doi.org//10.3390/v10090499
- https://doi.org//10.1038/s41598-020-80826-9
- https://doi.org//10.1080/15476286.2019.1602437
- https://doi.org//10.1016/s0065-3527(08)60784-8
- https://doi.org//10.1093/bioinformatics/bts199
- https://doi.org//10.1038/s41587-019-0072-8
- https://doi.org//10.1186/1471-2105-6-298
- https://doi.org//10.1093/bioinformatics/bty191
- https://doi.org//10.1093/bioinformatics/btp352
- https://doi.org//10.1093/dnares/dsy014
- https://doi.org//10.1101/2020.08.07.240069
- https://doi.org//10.1016/j.virusres.2017.05.010
- https://doi.org//10.1038/s41598-018-26955-8
- https://doi.org//10.1038/s41591-021-01256-2
- https://doi.org//10.1089/vim.1997.10.21
- https://doi.org//10.1101/gr.223586.117
- https://doi.org//10.1093/nar/gkw629
- https://doi.org//10.1093/bioinformatics/bts091
- https://doi.org//10.1093/bioinformatics/btq033
- https://doi.org//10.1038/nbt.1754
- https://doi.org//10.1093/bioinformatics/16.10.944
- https://doi.org//10.1016/s0042-6822(03)00437-9
- https://doi.org//10.1038/s41592-018-0001-7
- https://doi.org//10.1101/gr.222976.117
- https://doi.org//10.1051/vetres:2005052
- https://doi.org//10.1093/bib/bbs017
- https://doi.org//10.1371/journal.pone.0162868
- https://doi.org//10.3390/v7052727
- https://doi.org//10.3389/fmicb.2017.01079
- https://doi.org//10.1038/s41598-020-70794-5
- https://doi.org//10.1093/gigascience/giy139
- https://doi.org//10.1038/sdata.2018.119
- https://doi.org//10.1080/01652176.1995.9694526
- https://doi.org//10.1101/gr.247064.118
- https://doi.org//10.1016/j.plaphy.2018.08.039
- https://doi.org//10.3389/fgene.2019.00253
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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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