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Academic Journal

MTAGCN: predicting miRNA-target associations in Camellia sinensis var. assamica through graph convolution neural network.

  • Authors : Feng H; School of Information and Computer, Anhui Provincial Engineering Laboratory for Beidou Precision Agriculture Information, Anhui Agricultural University, Hefei, 230036, Anhui, China.; Xiang Y

Subjects: Camellia sinensis*/Camellia sinensis*/Camellia sinensis*/genetics ; MicroRNAs*/MicroRNAs*/MicroRNAs*/genetics; Computational Biology/Computational Biology/Computational Biology/methods

  • Source: BMC bioinformatics [BMC Bioinformatics] 2022 Jul 11; Vol. 23 (1), pp. 271. Date of Electronic Publication: 2022 Jul Publisher: BioMed Central Country of Publication: England NLM ID: 100965194 Publication Model: Electronic Cited Medium: Internet ISSN: 1471-2105

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Academic Journal

Optimized sequencing depth and de novo assembler for deeply reconstructing the transcriptome of the tea plant, an economically important plant species

Subjects: Tea plant; Camellia sinensis; Transcriptome

  • Source: BMC Bioinformatics, Vol 20, Iss 1, Pp 1-11 (2019)

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Academic Journal

Optimizing de novo transcriptome assembly from short-read RNA-Seq data: a comparative study.

  • Authors : Zhao QY; Key Laboratory of Synthetic Biology, Institute of Plant Physiology and Ecology, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai 200032, China.; Wang Y

Subjects: Transcriptome*; Camellia sinensis/Camellia sinensis/Camellia sinensis/*genetics ; High-Throughput Nucleotide Sequencing/High-Throughput Nucleotide Sequencing/High-Throughput Nucleotide Sequencing/*methods

  • Source: BMC bioinformatics [BMC Bioinformatics] 2011 Dec 14; Vol. 12 Suppl 14, pp. S2. Date of Electronic Publication: 2011 Publisher: BioMed Central Country of Publication: England NLM ID: 100965194 Publication Model: Electronic Cited Medium: Internet ISSN: 1471-2105

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Optimizing de novo transcriptome assembly from short-read RNA-Seq data: a comparative study

Subjects: Genetics; Sequence analysis; Sequence Analysis, RNA

  • Source: BMC Bioinformatics

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Academic Journal

Optimized sequencing depth and de novo assembler for deeply reconstructing the transcriptome of the tea plant, an economically important plant species.

Subjects: TEA; PLANT species; TEA trade

  • Source: BMC Bioinformatics; 11/6/2019, Vol. 20 Issue 1, pN.PAG-N.PAG, 1p, 2 Charts, 4 Graphs

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  • 1-5 of  5 results for ""Camellia sinensis""