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Sample GSM4209500 Query DataSets for GSM4209500
Status Public on Oct 26, 2020
Title mC_NeuralTube_amphioxus
Sample type SRA
 
Source name Neural tube
Organism Branchiostoma lanceolatum
Characteristics source: Collected in Banyuls, France
Extracted molecule genomic DNA
Extraction protocol DNeasy Blood & Tissue kit (Qiagen)
Genomic DNA was fragmented with a Covaris S2 sonicator to a mean length of 300 bp, then end-repaired, A-tailed, ligated to methylated Illumina TruSeq adapters, bisulfite converted and subjected to 7 cycles of PCR amplification with KAPA HiFi Uracil+ DNA polymerase (KAPA Biosystems).
 
Library strategy Bisulfite-Seq
Library source genomic
Library selection RANDOM
Instrument model Illumina NovaSeq 6000
 
Data processing CASAVA v1.8.2
Adapters were trimmed using fastp as default, then aligned to the reference genome using Bowtie2 and BSseeker2 with the option --bt2--end-to-end. PCR duplicates were removed using Sambamba v.0.6.8 before methylation quantification with CGmaptools
Genome_build: Monodelphis domestica we used ENSEMBL Monodelphis_domestica.BROADO5.dna.toplevel.fa
Genome_build: Ornithorhynchus anatinus we used ENSEMBL Ornithorhynchus_anatinus.OANA5.dna.toplevel.fa
Genome_build: Gallus gallus we used ENSEMBL Gallus_gallus.Galgal4.dna.toplevel.fa
Genome_build: Callorhinchus milii we used calMil1 (GCA_000165045.2)
Genome_build: Lethenteron camtschaticum we used LetJap1.0 (GCA_000466285.1)
Genome_build: Apis mellifera we used ENSEMBL Apis_mellifera.GCA_000002195.1.31.dna.genome.fa
Genome_build: Octopus bimaculoides we used ENSEMBL Octopus_bimaculoides.PRJNA270931.dna.toplevel.fa
Genome_build: Branchiostoma lanceolatum we used ENSEMBL Branchiostoma_lanceolatum.BraLan2.dna.toplevel.fa
Supplementary_files_format_and_content: Bisulfite-seq files (CGmap files) are the direct output from BSseeker2/CGmaptools (https://github.com/BSSeeker/BSseeker2), they contain chromosome position, (1) chromosome (2) nucleotide on Watson (+) strand (3) position (4) context (CG/CHG/CHH) (5) dinucleotide-context (CA/CC/CG/CT) (6) methylation-level = #_of_C / (#_of_C + #_of_T). (7) #_of_C (methylated C, the count of reads showing C here) (8) = #_of_C + #_of_T (all Cytosines, the sum of reads showing C or T in that position).
 
Submission date Dec 06, 2019
Last update date Oct 27, 2020
Contact name Ryan Lister
E-mail(s) ryanlister@gmail.com
Phone 61864884407
Organization name The University of Western Australia
Street address 35 Stirling Highway
City Perth
State/province WA
ZIP/Postal code 6009
Country Australia
 
Platform ID GPL27879
Series (1)
GSE141609 Evolution of CpH methylation in vertebrate brains
Relations
BioSample SAMN13508506
SRA SRX7285999

Supplementary file Size Download File type/resource
GSM4209500_mC_NeuralTube_amphioxus.CGmap.gz 710.4 Mb (ftp)(http) CGMAP
SRA Run SelectorHelp
Raw data are available in SRA
Processed data provided as supplementary file

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