Searching journal content for articles similar to Gorkin et al. 22 (11): 2290.

Displaying results 1-4 of 4
For checked items
  1. ..., ChIP-seq data are superior, but the general lack of TF-specific antibodies is a major roadblock to this approach. We solve these major impediments instead by using a generalizable sequence-based machine learning approach (Lee et al. 2011, 2015; Ghandi et al. 2014). This method learns the short...
  2. ...-based measurements of genomic activity, including ChIP-seq measurement of transcription factor binding and histone modifications and DNaseseq and ATAC-seq measurement of chromatin accessibility (Luo et al. 2020; Moore et al. 2020; Snyder et al. 2020). The fourth and final phase of ENCODE has greatly expanded the set...
    OPEN ACCESS ARTICLEACCEPTED MANUSCRIPT
  3. ...reveals enhancers and a predictive regulatory sequence vocabulary in melanocytes. Genome Res 22: 2290–2301. Grant CE, Bailey TL, Noble WS. 2011. FIMO: scanning for occurrences of a given motif. Bioinformatics 27: 1017–1018. Gupta S, Stamatoyannopolous JA, Bailey TL, Noble WS. 2007. Quantifying similarity...
  4. ...D, Reed X, Fletez-Brant C, Bessling SL, Loftus SK, Beer MA, Pavan WJ, McCallion AS. 2012. Integration of ChIP-seq and machine learning reveals enhancers and a predictive regulatory sequence vocabulary in melanocytes. Genome Res 22: 2290–2301. Grisanzio C, Freedman ML. 2010. Chromosome 8q24...
For checked items

Preprint Server