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Sample GSM2339383 Query DataSets for GSM2339383
Status Public on Apr 12, 2017
Title BDL_5d_cJun
Sample type SRA
 
Source name liver from animals with ligated bile duct, 5 days after surgery
Organism Rattus norvegicus
Characteristics surgery: bile duct ligation
time following surgery(d): 5
chip antibody: cJun (Santa Cruz Biotechnology #sc-1694)
Extracted molecule genomic DNA
Extraction protocol Lysates were clarified from sonicated nuclei and histone-DNA complexes were isolated with antibody
Illumina sequencing libraries were prepared from the ChIP and Input DNAs by the standard consecutive enzymatic steps of end-polishing, dA-addition, and adaptor ligation.
 
Library strategy ChIP-Seq
Library source genomic
Library selection ChIP
Instrument model Illumina NextSeq 500
 
Data processing Reads were aligned to the rat genome (rn5) using the BWA algorithm (default settings). Duplicate reads were removed and only uniquely mapped reads (mapping quality ≥ 25) were used for further analysis. Alignments were extended in silico at their 3’-ends to a length of 200 bp, which is the average genomic fragment length in the size-selected library, and assigned to 32-nt bins along the genome.
Peak locations were determined using the MACS algorithm (v1.4.2; parameters used were --gsize=2e9 --bw=200 --mfold=12,32 --pvalue=1e-07).
Genome_build: rn5.1
Supplementary_files_format_and_content: Bigwig files were generated using the BWA algorithm.The resulting files show the fragment density for 32-nt bins along the genome (“signal map”). The files can be uploaded to the UCSC browser.
Supplementary_files_format_and_content: Peak files were generated using the MACS algorithm.
 
Submission date Oct 06, 2016
Last update date May 15, 2019
Contact name Keith M Goldstein
E-mail(s) [email protected]
Organization name Eli Lilly & Co.
Department Investigative Toxicology
Lab Keith Goldstein
Street address Lilly Corporate Center
City Indianapolis
State/province IN
ZIP/Postal code 46285
Country USA
 
Platform ID GPL20084
Series (1)
GSE87730 Toxicogenomic module associations with pathogenesis: A network based approach to understanding drug toxicity (ChIP-Seq)
Relations
BioSample SAMN05877131
SRA SRX2226570

Supplementary file Size Download File type/resource
GSM2339383_21_BDL-5d_cJun_peaks.xls.gz 410.3 Kb (ftp)(http) XLS
GSM2339383_21_rnliver_BDL-5d_cJun_i88_uniq_signal.bw 77.9 Mb (ftp)(http) BW
SRA Run SelectorHelp
Raw data are available in SRA
Processed data provided as supplementary file

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