GEO series

Copy number profiling of 36 ovarian tumors on Affymetrix 100K SNP arrays and 16 ovarian tumors on 500K SNP arrays

GSE26075 Homo sapiens (human) Genome variation profiling by SNP array 104 samples Submitted 2010/12/16 Platform GPL3718Platform GPL3720Platform GPL2005Platform GPL2004

At a glance

human · 104 samples

Organism: Homo sapiens (human)
Topic: Ovarian cancerThis series is part of our curated briefing on it.
Samples: 104 samples
Data you can get: A processed table (series matrix) and supplementary files from NCBI.

Summary (written by the submitters)

Copy number profiling of 36 ovarian tumors on Affymetrix 100K SNP arrays Thirty-six ovarian tumors were profiled for copy-number alterations with the Affymetrix 100K Mapping Array. Copy number profiling of 36 ovarian tumors on Affymetrix 500K SNP arrays Sixteen ovary tumors were profiled for copy-number alterations with the high-resolution Affymetrix 500K Mapping Array.

This dataset

Open GSE26075 in finder → Find more human datasets → Ovarian cancer landscape →

Download · which file do I need?

Direct links to NCBI, 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.

1 · Just have a look

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.

Series matrix ↓

2 · Re-analyse it

Supplementary files

The count tables and other files the authors uploaded. Take only the samples you need.

All supplementary files ↗

3 · The original raw files

Whole study · RAW.tar

Everything the authors deposited as one archive (GSE26075_RAW.tar), including the raw array or instrument files. Can be large; the picker in step 2 takes just the samples you need.

Whole study · RAW.tar ↓

Also filed as BioProject PRJNA135205. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 21368834) ↗

Samples in this study

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+ 104 more — browse all 104 samples with per-sample file links →

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