These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.


BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

134 related articles for article (PubMed ID: 26623179)

  • 21. CANEapp: a user-friendly application for automated next generation transcriptomic data analysis.
    Velmeshev D; Lally P; Magistri M; Faghihi MA
    BMC Genomics; 2016 Jan; 17():49. PubMed ID: 26758513
    [TBL] [Abstract][Full Text] [Related]  

  • 22. microRPM: a microRNA prediction model based only on plant small RNA sequencing data.
    Tseng KC; Chiang-Hsieh YF; Pai H; Chow CN; Lee SC; Zheng HQ; Kuo PL; Li GZ; Hung YC; Lin NS; Chang WC
    Bioinformatics; 2018 Apr; 34(7):1108-1115. PubMed ID: 29136092
    [TBL] [Abstract][Full Text] [Related]  

  • 23. A survey of software tools for microRNA discovery and characterization using RNA-seq.
    Bortolomeazzi M; Gaffo E; Bortoluzzi S
    Brief Bioinform; 2019 May; 20(3):918-930. PubMed ID: 29126230
    [TBL] [Abstract][Full Text] [Related]  

  • 24. Functional characterization of plant small RNAs based on next-generation sequencing data.
    Chen M; Meng Y; Gu H; Chen D
    Comput Biol Chem; 2010 Dec; 34(5-6):308-12. PubMed ID: 21030312
    [TBL] [Abstract][Full Text] [Related]  

  • 25. systemPipeR: NGS workflow and report generation environment.
    H Backman TW; Girke T
    BMC Bioinformatics; 2016 Sep; 17():388. PubMed ID: 27650223
    [TBL] [Abstract][Full Text] [Related]  

  • 26. Integrated analysis of the miRNA-mRNA next-generation sequencing data for finding their associations in different cancer types.
    Bhowmick SS; Bhattacharjee D; Rato L
    Comput Biol Chem; 2020 Feb; 84():107152. PubMed ID: 31785969
    [TBL] [Abstract][Full Text] [Related]  

  • 27. Characterization of an extensive rainbow trout miRNA transcriptome by next generation sequencing.
    Juanchich A; Bardou P; Rué O; Gabillard JC; Gaspin C; Bobe J; Guiguen Y
    BMC Genomics; 2016 Mar; 17():164. PubMed ID: 26931235
    [TBL] [Abstract][Full Text] [Related]  

  • 28. comTAR: a web tool for the prediction and characterization of conserved microRNA targets in plants.
    Chorostecki U; Palatnik JF
    Bioinformatics; 2014 Jul; 30(14):2066-7. PubMed ID: 24632500
    [TBL] [Abstract][Full Text] [Related]  

  • 29. isomiR-SEA: an RNA-Seq analysis tool for miRNAs/isomiRs expression level profiling and miRNA-mRNA interaction sites evaluation.
    Urgese G; Paciello G; Acquaviva A; Ficarra E
    BMC Bioinformatics; 2016 Mar; 17():148. PubMed ID: 27036505
    [TBL] [Abstract][Full Text] [Related]  

  • 30. Dissecting the biological relationship between TCGA miRNA and mRNA sequencing data using MMiRNA-Viewer.
    Bai Y; Ding L; Baker S; Bai JM; Rath E; Jiang F; Wu J; Jiang H; Stuart G
    BMC Bioinformatics; 2016 Oct; 17(Suppl 13):336. PubMed ID: 27766936
    [TBL] [Abstract][Full Text] [Related]  

  • 31. STarMir Tools for Prediction of microRNA Binding Sites.
    Kanoria S; Rennie W; Liu C; Carmack CS; Lu J; Ding Y
    Methods Mol Biol; 2016; 1490():73-82. PubMed ID: 27665594
    [TBL] [Abstract][Full Text] [Related]  

  • 32. Evaluation of Bioinformatics Approaches for Next-Generation Sequencing Analysis of microRNAs with a Toxicogenomics Study Design.
    Bisgin H; Gong B; Wang Y; Tong W
    Front Genet; 2018; 9():22. PubMed ID: 29467792
    [TBL] [Abstract][Full Text] [Related]  

  • 33. Harnessing NGS and Big Data Optimally: Comparison of miRNA Prediction from Assembled versus Non-assembled Sequencing Data--The Case of the Grass Aegilops tauschii Complex Genome.
    Budak H; Kantar M
    OMICS; 2015 Jul; 19(7):407-15. PubMed ID: 26061358
    [TBL] [Abstract][Full Text] [Related]  

  • 34. miRNA Temporal Analyzer (mirnaTA): a bioinformatics tool for identifying differentially expressed microRNAs in temporal studies using normal quantile transformation.
    Cer RZ; Herrera-Galeano JE; Anderson JJ; Bishop-Lilly KA; Mokashi VP
    Gigascience; 2014; 3():20. PubMed ID: 25379175
    [TBL] [Abstract][Full Text] [Related]  

  • 35. MiRNATIP: a SOM-based miRNA-target interactions predictor.
    Fiannaca A; Rosa M; Paglia L; Rizzo R; Urso A
    BMC Bioinformatics; 2016 Sep; 17(Suppl 11):321. PubMed ID: 28185545
    [TBL] [Abstract][Full Text] [Related]  

  • 36. Prediction of Plant miRNA Targets.
    Pandey P; Srivastava PK; Pandey SP
    Methods Mol Biol; 2019; 1932():99-107. PubMed ID: 30701494
    [TBL] [Abstract][Full Text] [Related]  

  • 37. IsomiR Bank: a research resource for tracking IsomiRs.
    Zhang Y; Zang Q; Xu B; Zheng W; Ban R; Zhang H; Yang Y; Hao Q; Iqbal F; Li A; Shi Q
    Bioinformatics; 2016 Jul; 32(13):2069-71. PubMed ID: 27153728
    [TBL] [Abstract][Full Text] [Related]  

  • 38. IIKmTA: Inter and Intra Kingdom miRNA-Target Analyzer.
    Mal C; Aftabuddin M; Kundu S
    Interdiscip Sci; 2018 Sep; 10(3):538-543. PubMed ID: 29549628
    [TBL] [Abstract][Full Text] [Related]  

  • 39. Computational and Experimental Identification of Tissue-Specific MicroRNA Targets.
    Amirkhah R; Meshkin HN; Farazmand A; Rasko JEJ; Schmitz U
    Methods Mol Biol; 2017; 1580():127-147. PubMed ID: 28439832
    [TBL] [Abstract][Full Text] [Related]  

  • 40. Computational Resources for Prediction and Analysis of Functional miRNA and Their Targetome.
    Monga I; Kumar M
    Methods Mol Biol; 2019; 1912():215-250. PubMed ID: 30635896
    [TBL] [Abstract][Full Text] [Related]  

    [Previous]   [Next]    [New Search]
    of 7.