Ontology highlight
ABSTRACT:
PROVIDER: PRJNA1008141 | ENA |
REPOSITORIES: ENA
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Project description:ChIP-Seq, which combines chromatin immunoprecipitation (ChIP) with high-throughput massively parallel sequencing, is increasingly being used for identification of protein–DNA interactions in-vivo in the genome. In general, current algorithms for ChIP-seq reads employ artificial estimation of the average length of DNA fragments for peak finding, leading to uncertain prediction of DNA-protein binding sites. Here, we present SIPeS (Site Identification from Paired-end Sequencing), a novel algorithm for precise identification of binding sites from short reads generated from paired-end Solexa ChIP-Seq technology. SIPeS uses a dynamic baseline directly via ‘piling up’ the corresponding fragments defined by the paired reads to efficiently find peaks corresponding to binding sites. The performance of SIPeS is demonstrated by analyzing the ChIP-Seq data of the Arabidopsis basic helix-loop-helix transcription factor ABORTED MICROSPORES (AMS). The robustness of SIPeS was demonstrated in higher sensitivity and spatial resolution in peak finding compared to three existing peak detection algorithms. Keywords: transcription factors (protein-DNA interactions)
2010-06-04 | GSE16940 | GEO
Project description:ChIP-Seq, which combines chromatin immunoprecipitation (ChIP) with high-throughput massively parallel sequencing, is increasingly being used for identification of proteinM-bM-^@M-^SDNA interactions in-vivo in the genome. In general, current algorithms for ChIP-seq reads employ artificial estimation of the average length of DNA fragments for peak finding, leading to uncertain prediction of DNA-protein binding sites. Here, we present SIPeS (Site Identification from Paired-end Sequencing), a novel algorithm for precise identification of binding sites from short reads generated from paired-end Solexa ChIP-Seq technology. SIPeS uses a dynamic baseline directly via M-bM-^@M-^Xpiling upM-bM-^@M-^Y the corresponding fragments defined by the paired reads to efficiently find peaks corresponding to binding sites. The performance of SIPeS is demonstrated by analyzing the ChIP-Seq data of the Arabidopsis basic helix-loop-helix transcription factor ABORTED MICROSPORES (AMS). The robustness of SIPeS was demonstrated in higher sensitivity and spatial resolution in peak finding compared to three existing peak detection algorithms. Keywords: transcription factors (protein-DNA interactions) Examination of protein-DNA interactions in buds of Arabidopsis anther cell
2010-06-04 | E-GEOD-16940 | biostudies-arrayexpress
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2015-12-03 | E-MTAB-3687 | biostudies-arrayexpress
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Project description:Purpose: The goal of this study was to develop a B-cell specific gene signature to catalog induced genes after short term in vitro TLR7 stimulation of TLR9-/- MRL/lpr B cells. Methods : Bead purified B cells (5M) from three 5-week-old TLR9-/- MRL/lpr mice were stimulated for 4 hours at 10M/ml with TLR7 agonist CL097 (Invivogen) at 5µg/ml or left unstimulated. RNA was isolated using the RNeasy Plus Mini Kit (QIAGEN). Samples were sequenced on an NextSeq500 (Illumina, Inc) with 2 x 75 bp paired-end reads (20 million reads per sample). Results: a B-cell specific gene signature of induced genes after short term in vitro TLR7 stimulation was cataloged.
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