DNase-seq from K562 (ENCSR160FPV)
ChIP-seq / ATAC-seq (genome binding and open chromatin) · human · 134 samples
- What it is
- ChIP-seq / ATAC-seq (genome binding and open chromatin)Where proteins bind the genome, or which regions are open and active.
- Organism
- Homo sapiens (human)
- Samples
- 134 samples: 134 samples, each with a distinct title — no replicated groupsGroups are read from the sample names, not from the paper. Check the list below.
- Data you can get
- A processed table (series matrix) and supplementary files from NCBI; the raw sequencing reads from ENA. Which of these hold counts depends on the study, so check the file list.
- Paper
- An integrated encyclopedia of DNA elements in the human genomeNature · 2012
Direct links to NCBI and ENA, no account and no request form. Pick by what you want to do: take the small processed table to look, the supplementary files to re-analyse, or the original raw data to start over.
Processed table
The series matrix: one table of values per sample as the submitters processed it. The smallest download, and it opens in Excel or R. Start here to see what the data look like.
Supplementary files
The count tables and other files the authors uploaded. Take only the samples you need, or the whole study as GSE320979_RAW.tar (it can run to tens of gigabytes).
Raw sequencing reads
The original FASTQ files, straight from the sequencer, held at ENA. Large, and you align them yourself, so only choose this if you need to re-process the study from scratch.
What the files usually look like: Look for peak files (.bed, .narrowPeak) and signal tracks (.bigWig) among the supplementary files; the raw reads are on ENA.
Also filed as BioProject PRJNA63443 and SRA study SRP000592. Searching any of these in the dataset finder brings you back here.
Any grouping that defines a comparison lives in the sample characteristics, which GEO records separately from the titles.
How we read this: Read from 134 sample titles: 134 distinct titles with little repetition. These groups are guessed from the sample names, not taken from the paper, so check them against the sample list below before relying on them.
- GSM9547407 DNase-seq from K562 (ENCLB626JPW)
- GSM9547409 DNase-seq from K562 (ENCLB130QDR)
- GSM9547411 DNase-seq from K562 (ENCLB616FPQ)
- GSM9547412 DNase-seq from K562 (ENCLB004YXN)
- GSM9547413 DNase-seq from K562 (ENCLB225IQF)
- GSM9547414 DNase-seq from K562 (ENCLB104XZQ)
- GSM9547415 DNase-seq from K562 (ENCLB247TOK)
- GSM9547416 DNase-seq from K562 (ENCLB076REI)
- GSM9547417 DNase-seq from K562 (ENCLB266QWV)
- GSM9547418 DNase-seq from K562 (ENCLB024NNE)
- GSM9547419 DNase-seq from K562 (ENCLB903RZN)
- GSM9547420 DNase-seq from K562 (ENCLB133PEN)
- GSM9547421 DNase-seq from K562 (ENCLB315WPR)
- GSM9547422 DNase-seq from K562 (ENCLB982IIL)
- GSM9547423 DNase-seq from K562 (ENCLB690JGN)
- GSM9547424 DNase-seq from K562 (ENCLB885HZW)
- GSM9547425 DNase-seq from K562 (ENCLB506GVF)
- GSM9547426 DNase-seq from K562 (ENCLB922PIV)
- GSM9547427 DNase-seq from K562 (ENCLB406FHK)
- GSM9547428 DNase-seq from K562 (ENCLB550LLI)
- GSM9547429 DNase-seq from K562 (ENCLB790KKN)
- GSM9547430 DNase-seq from K562 (ENCLB497AXT)
- GSM9547431 DNase-seq from K562 (ENCLB363YWX)
- GSM9547432 DNase-seq from K562 (ENCLB996JIS)
- GSM9547433 DNase-seq from K562 (ENCLB322IRX)
- GSM9547434 DNase-seq from K562 (ENCLB324MLD)
- GSM9547435 DNase-seq from K562 (ENCLB663SRR)
- GSM9547436 DNase-seq from K562 (ENCLB945RMJ)
- GSM9547437 DNase-seq from K562 (ENCLB548PHX)
- GSM9547438 DNase-seq from K562 (ENCLB273SKX)
- GSM9547439 DNase-seq from K562 (ENCLB178EAM)
- GSM9547440 DNase-seq from K562 (ENCLB472DCM)
- GSM9547441 DNase-seq from K562 (ENCLB216BTL)
- GSM9547442 DNase-seq from K562 (ENCLB973LIG)
- GSM9547443 DNase-seq from K562 (ENCLB881KPM)
- GSM9547444 DNase-seq from K562 (ENCLB135DKT)
- GSM9547445 DNase-seq from K562 (ENCLB530XGX)
- GSM9547446 DNase-seq from K562 (ENCLB317HMW)
- GSM9547447 DNase-seq from K562 (ENCLB608WXI)
- GSM9547448 DNase-seq from K562 (ENCLB817IRE)
+ 94 more — browse all 134 samples with per-sample file links →
- GSE322895 DNase-seq from K562 (ENCSR335RHJ) 26 samples shares k562, dnase-seq
- GSE321204 DNase-seq from K562 (ENCSR736XRU) 9 samples shares k562, dnase-seq
- GSE322942 DNase-seq from K562 (ENCSR840YOF) 9 samples shares k562, dnase-seq
- GSE321771 DNase-seq from K562 (ENCSR425QOB) 7 samples shares k562, dnase-seq
- GSE99172 Single-cell chromatin accessibility data from K562 cells using scATAC-seq 288 samples shares k562
- GSE276857 CUT&Tag in K562, HCT116, RPE1 and Jurkat cells 39 samples shares k562
- GSE246552 Profiling R loop in mouse and human hematopietic cells with low cell input using S9.6 antibody coupled cut&tag [cut&tag K562] 30 samples shares k562
- GSE261411 BPDCN MYB Fusions Regulate Cell Cycle Genes, Impair Differentiation and Induce Myeloid-Dendritic Cell Leukemia [K562CutRun] 20 samples shares k562
Metadata from NCBI GEO, cached and refreshed periodically — the NCBI page above is authoritative. Downloads link straight to NCBI/ENA; nothing is proxied through BioTransfer.