2016
DOI: 10.1093/nar/gkw477
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Goldmine integrates information placing genomic ranges into meaningful biological contexts

Abstract: Bioinformatic analysis often produces large sets of genomic ranges that can be difficult to interpret in the absence of genomic context. Goldmine annotates genomic ranges from any source with gene model and feature contexts to facilitate global descriptions and candidate loci discovery. We demonstrate the value of genomic context by using Goldmine to elucidate context dynamics in transcription factor binding and to reveal differentially methylated regions (DMRs) with context-specific functional correlations. T… Show more

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Cited by 29 publications
(25 citation statements)
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“…To overcome limitations of previous methods for generating background sequences, we designed GENRE to allow a user to choose genomic features that represent potential biases for the sequence, e.g. GC content, CpG dinucleotide frequency (Bhasin and Ting, 2016; Spruijt and Vermeulen, 2014), the overlaps with repeat sequences (Boeva, 2016) (“repeat overlap”) and with the promoters (“promoter overlap”), defined as the 2 kb regions upstream of transcription start sites (TSS, STAR Methods ).…”
Section: Resultsmentioning
confidence: 99%
“…To overcome limitations of previous methods for generating background sequences, we designed GENRE to allow a user to choose genomic features that represent potential biases for the sequence, e.g. GC content, CpG dinucleotide frequency (Bhasin and Ting, 2016; Spruijt and Vermeulen, 2014), the overlaps with repeat sequences (Boeva, 2016) (“repeat overlap”) and with the promoters (“promoter overlap”), defined as the 2 kb regions upstream of transcription start sites (TSS, STAR Methods ).…”
Section: Resultsmentioning
confidence: 99%
“…Statistical and graphical analyses were conducted using R version 3.3.2 ( R Core Team 2016 ). Genomic feature annotation was performed using the Goldmine R package version 1.0 ( Bhasin and Ting 2016 ). Gene model features were obtained from RefSeq annotations (February 17, 2017) ( O’Leary et al 2016 ).…”
Section: Methodsmentioning
confidence: 99%
“…One sample with low enrichment of methylated DNA was removed from further methylome analysis (Table 1 ). Genomic features and context were resolved using the R package Goldmine 43 using default arguments. The global methylation index was determined as area under the curve using the trapezoidal approximation.…”
Section: Methodsmentioning
confidence: 99%