RCMI Coordinating Center (RCMI CC) Header Logo

Connection

Qian-Jin Zhang to Sequence Analysis, RNA

This is a "connection" page, showing publications Qian-Jin Zhang has written about Sequence Analysis, RNA.
Connection Strength

1.492
  1. Ju Y, Gong J, Yang YT, Zhang QC. Investigation of RNA-RNA Interactions Using the RISE Database. Curr Protoc Bioinformatics. 2018 12; 64(1):e58.
    View in: PubMed
    Score: 0.622
  2. Xiong L, Tian K, Li Y, Ning W, Gao X, Zhang QC. Online single-cell data integration through projecting heterogeneous datasets into a common cell-embedding space. Nat Commun. 2022 10 17; 13(1):6118.
    View in: PubMed
    Score: 0.204
  3. Li P, Shi R, Zhang QC. icSHAPE-pipe: A comprehensive toolkit for icSHAPE data analysis and evaluation. Methods. 2020 06 01; 178:96-103.
    View in: PubMed
    Score: 0.166
  4. Zhao J, Qian X, Yeung PY, Zhang QC, Kwok CK. Mapping In Vivo RNA Structures and Interactions. Trends Biochem Sci. 2019 06; 44(6):555-556.
    View in: PubMed
    Score: 0.159
  5. Gong J, Shao D, Xu K, Lu Z, Lu ZJ, Yang YT, Zhang QC. RISE: a database of RNA interactome from sequencing experiments. Nucleic Acids Res. 2018 01 04; 46(D1):D194-D201.
    View in: PubMed
    Score: 0.147
  6. Zhao J, Chow EY, Yeung PY, Zhang QC, Chan TF, Kwok CK. Enhanced transcriptome-wide RNA G-quadruplex sequencing for low RNA input samples with rG4-seq 2.0. BMC Biol. 2022 11 13; 20(1):257.
    View in: PubMed
    Score: 0.051
  7. Yu B, Li P, Zhang QC, Hou L. Differential analysis of RNA structure probing experiments at nucleotide resolution: uncovering regulatory functions of RNA structure. Nat Commun. 2022 07 22; 13(1):4227.
    View in: PubMed
    Score: 0.050
  8. Xu B, Zhu Y, Cao C, Chen H, Jin Q, Li G, Ma J, Yang SL, Zhao J, Zhu J, Ding Y, Fang X, Jin Y, Kwok CK, Ren A, Wan Y, Wang Z, Xue Y, Zhang H, Zhang QC, Zhou Y. Recent advances in RNA structurome. Sci China Life Sci. 2022 07; 65(7):1285-1324.
    View in: PubMed
    Score: 0.050
  9. Li X, Liang QX, Lin JR, Peng J, Yang JH, Yi C, Yu Y, Zhang QC, Zhou KR. Epitranscriptomic technologies and analyses. Sci China Life Sci. 2020 Apr; 63(4):501-515.
    View in: PubMed
    Score: 0.043
Connection Strength

The connection strength for concepts is the sum of the scores for each matching publication.

Publication scores are based on many factors, including how long ago they were written and whether the person is a first or senior author.
RCMI CC is supported by the National Institute on Minority Health and Health Disparities, National Institutes of Health (NIH), through Grant Number U24MD015970. The contents of this site are solely the responsibility of the authors and do not necessarily represent the official views of the NIH

For technical support please contact support