BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

166 related articles for article (PubMed ID: 37286963)

  • 21. Ritornello: high fidelity control-free chromatin immunoprecipitation peak calling.
    Stanton KP; Jin J; Lederman RR; Weissman SM; Kluger Y
    Nucleic Acids Res; 2017 Dec; 45(21):e173. PubMed ID: 28981893
    [TBL] [Abstract][Full Text] [Related]  

  • 22. Novel ChIP-seq simulating program with superior versatility: isChIP.
    Subkhankulova T; Naumenko F; Tolmachov OE; Orlov YL
    Brief Bioinform; 2021 Jul; 22(4):. PubMed ID: 33320934
    [TBL] [Abstract][Full Text] [Related]  

  • 23. GPSmatch: an R package for comparing Genomic-binding Profile Similarity among transcriptional regulators using customizable databases.
    Dong A; Bao X
    Bioinformatics; 2022 Jan; 38(3):853-855. PubMed ID: 34672337
    [TBL] [Abstract][Full Text] [Related]  

  • 24. peakC: a flexible, non-parametric peak calling package for 4C and Capture-C data.
    Geeven G; Teunissen H; de Laat W; de Wit E
    Nucleic Acids Res; 2018 Sep; 46(15):e91. PubMed ID: 29800273
    [TBL] [Abstract][Full Text] [Related]  

  • 25. GUIDEseq: a bioconductor package to analyze GUIDE-Seq datasets for CRISPR-Cas nucleases.
    Zhu LJ; Lawrence M; Gupta A; Pagès H; Kucukural A; Garber M; Wolfe SA
    BMC Genomics; 2017 May; 18(1):379. PubMed ID: 28506212
    [TBL] [Abstract][Full Text] [Related]  

  • 26. RepViz: a replicate-driven R tool for visualizing genomic regions.
    Faux T; Rytkönen KT; Laiho A; Elo LL
    BMC Res Notes; 2019 Jul; 12(1):441. PubMed ID: 31324268
    [TBL] [Abstract][Full Text] [Related]  

  • 27. annoPeak: a web application to annotate and visualize peaks from ChIP-seq/ChIP-exo-seq.
    Tang X; Srivastava A; Liu H; Machiraju R; Huang K; Leone G
    Bioinformatics; 2017 May; 33(10):1570-1571. PubMed ID: 28169395
    [TBL] [Abstract][Full Text] [Related]  

  • 28. CHIPIN: ChIP-seq inter-sample normalization based on signal invariance across transcriptionally constant genes.
    Polit L; Kerdivel G; Gregoricchio S; Esposito M; Guillouf C; Boeva V
    BMC Bioinformatics; 2021 Aug; 22(1):407. PubMed ID: 34404353
    [TBL] [Abstract][Full Text] [Related]  

  • 29. fCCAC: functional canonical correlation analysis to evaluate covariance between nucleic acid sequencing datasets.
    Madrigal P
    Bioinformatics; 2017 Mar; 33(5):746-748. PubMed ID: 27993776
    [TBL] [Abstract][Full Text] [Related]  

  • 30. A non-parametric peak calling algorithm for DamID-Seq.
    Li R; Hempel LU; Jiang T
    PLoS One; 2015; 10(3):e0117415. PubMed ID: 25785608
    [TBL] [Abstract][Full Text] [Related]  

  • 31. MMDiff: quantitative testing for shape changes in ChIP-Seq data sets.
    Schweikert G; Cseke B; Clouaire T; Bird A; Sanguinetti G
    BMC Genomics; 2013 Nov; 14():826. PubMed ID: 24267901
    [TBL] [Abstract][Full Text] [Related]  

  • 32. An improved ChIP-seq peak detection system for simultaneously identifying post-translational modified transcription factors by combinatorial fusion, using SUMOylation as an example.
    Cheng CY; Chu CH; Hsu HW; Hsu FR; Tang CY; Wang WC; Kung HJ; Chang PC
    BMC Genomics; 2014; 15 Suppl 1(Suppl 1):S1. PubMed ID: 24564277
    [TBL] [Abstract][Full Text] [Related]  

  • 33. Peakhood: individual site context extraction for CLIP-seq peak regions.
    Uhl M; Rabsch D; Eggenhofer F; Backofen R
    Bioinformatics; 2022 Jan; 38(4):1139-1140. PubMed ID: 34734974
    [TBL] [Abstract][Full Text] [Related]  

  • 34. ChIP-BIT2: a software tool to detect weak binding events using a Bayesian integration approach.
    Chen X; Shi X; Neuwald AF; Hilakivi-Clarke L; Clarke R; Xuan J
    BMC Bioinformatics; 2021 Apr; 22(1):193. PubMed ID: 33858322
    [TBL] [Abstract][Full Text] [Related]  

  • 35. BayesPeak--an R package for analysing ChIP-seq data.
    Cairns J; Spyrou C; Stark R; Smith ML; Lynch AG; Tavaré S
    Bioinformatics; 2011 Mar; 27(5):713-4. PubMed ID: 21245054
    [TBL] [Abstract][Full Text] [Related]  

  • 36. Population size estimation for quality control of ChIP-Seq datasets.
    Kolmykov SK; Kondrakhin YV; Yevshin IS; Sharipov RN; Ryabova AS; Kolpakov FA
    PLoS One; 2019; 14(8):e0221760. PubMed ID: 31465497
    [TBL] [Abstract][Full Text] [Related]  

  • 37. esATAC: an easy-to-use systematic pipeline for ATAC-seq data analysis.
    Wei Z; Zhang W; Fang H; Li Y; Wang X
    Bioinformatics; 2018 Aug; 34(15):2664-2665. PubMed ID: 29522192
    [TBL] [Abstract][Full Text] [Related]  

  • 38. abc4pwm: affinity based clustering for position weight matrices in applications of DNA sequence analysis.
    Ali O; Farooq A; Yang M; Jin VX; Bjørås M; Wang J
    BMC Bioinformatics; 2022 Mar; 23(1):83. PubMed ID: 35240993
    [TBL] [Abstract][Full Text] [Related]  

  • 39. Unified Analysis of Multiple ChIP-Seq Datasets.
    Ma G; Babarinde IA; Zhuang Q; Hutchins AP
    Methods Mol Biol; 2021; 2198():451-465. PubMed ID: 32822050
    [TBL] [Abstract][Full Text] [Related]  

  • 40. DIME: R-package for identifying differential ChIP-seq based on an ensemble of mixture models.
    Taslim C; Huang T; Lin S
    Bioinformatics; 2011 Jun; 27(11):1569-70. PubMed ID: 21471015
    [TBL] [Abstract][Full Text] [Related]  

    [Previous]   [Next]    [New Search]
    of 9.