title: F-Seq: a feature density estimator for high-throughput sequence tags.
abstract: Tag sequencing using high-throughput sequencing technologies are now regularly employed to identify specific sequence features, such as transcription factor binding sites (ChIP-seq) or regions of open chromatin (DNase-seq). To intuitively summarize and display individual sequence data as an accurate and interpretable signal, we developed F-Seq, a software package that generates a continuous tag sequence density estimation allowing identification of biologically meaningful sites whose output can be displayed directly in the UCSC Genome Browser.
  
  
  BACKGROUND
  The software is written in the Java language and is available on all major computing platforms for download at http://www.genome.duke.edu/labs/furey/software/fseq.
authors.affiliation: Institute for Genome Sciences and Policy, Duke University, Durham, NC 27708, USA.
authors.forename: Alan P
authors.initials: AP
authors.lastname: Boyle
authors.forename: Justin
authors.initials: J
authors.lastname: Guinney
authors.forename: Gregory E
authors.initials: GE
authors.lastname: Crawford
authors.forename: Terrence S
authors.initials: TS
authors.lastname: Furey
mesh_terms: D047369:Chromatin Immunoprecipitation; D003850:Deoxyribonuclease I / Q000737:chemistry / Q000235:genetics; D016678:Genome; D017422:Sequence Analysis, DNA / Q000379:methods*; D016324:Sequence Tagged Sites; D012984:Software
chemical_list: D003850:Deoxyribonuclease I
references.citation: Genome Res. 2002 Jun;12(6):996-1006
references.pmid: 12045153
references.citation: Science. 2007 Jun 8;316(5830):1497-502
references.pmid: 17540862
references.citation: Nat Methods. 2007 Aug;4(8):651-7
references.pmid: 17558387
references.citation: Cell. 2008 Jan 25;132(2):311-22
references.pmid: 18243105