<p>There's the NCI <a href="https://gdc.cancer.gov/node/216/" rel="nofollow noreferrer">Genomic Data Commons</a>:</p>

<blockquote>
  <p>For all submitted sequence data, including BAM alignment files, the GDC generates new alignments in BAM format using the latest human reference genome GRCh38 with standard alignment pipelines. Using these standard alignments, the GDC generates high level derived data, including normal and tumor variant and mutation calls in VCF and MAF formats, and gene and miRNA expression and splice junction quantification data in TSV formats.</p>
</blockquote>

<p>But that needs <a href="https://wiki.nci.nih.gov/display/TCGA/Application+Process" rel="nofollow noreferrer">an NIH account</a> for individual-level data, which might be too restrictive for you.</p>

<p>There's also the <a href="http://txcrb.org/data.html" rel="nofollow noreferrer">Texas Cancer Research Biobank</a> (7 human cancer patients with matched normal):</p>

<blockquote>
  <p>These tumor and normal specimen sequence files (FASTQ and BAM), somatic variant calls (VCF and MAF) and germline MAF files are available for each consented patient as described on the TCRB Open Access Privacy page.</p>
</blockquote>

<p>That also requires account <a href="https://hgsc-sftp1.hgsc.bcm.tmc.edu/webclient/Register.xhtml" rel="nofollow noreferrer">registration</a>, but the registration process is automated and much simpler (requires just a name, and acceptance of usage conditions). There's a <a href="http://www.nature.com/articles/sdata201610" rel="nofollow noreferrer">published paper</a> about that dataset.</p>

<p>I had some vague feeling that another repository existed (created within the last year), but I can't seem to find it from quick web searches.</p>

CC BY-SA 3.0
2018-01-26T19:09:42.617Z
2018-01-26T19:09:42.617Z
gringer
<p>I'm writing an R package that manipulates MAF files. Normally, I generate a small example of a file and use this for testing. (e.g. a subsetted BAM or MAF). </p>

<p>In this case, I would need a MAF and a tumor/normal BAM pair. My problem is I don't know where I could download an open-source MAF with said BAMs. </p>

<p>Where could researchers download files like this, and not violate privacy laws (i.e. they <em>must</em> be publicly-available BAMs)?</p>

<sam><public-databases><maf>
Downloading an open-source MAF with tumor and normal BAMs?
# Downloading an open-source MAF with tumor and normal BAMs?

(Asked by: username_0 on 2018-01-26)

I'm writing an R package that manipulates MAF files. Normally, I generate a small example of a file and use this for testing. (e.g. a subsetted BAM or MAF).

In this case, I would need a MAF and a tumor/normal BAM pair. My problem is I don't know where I could download an open-source MAF with said BAMs.

Where could researchers download files like this, and not violate privacy laws (i.e. they *must* be publicly-available BAMs)?

**Tags:** sam, public-databases, maf

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## 1 answers

### Answer by username_1 on 2018-01-26. Score: 1 | Accepted answer

There's the NCI [Genomic Data Commons](https://gdc.cancer.gov/node/216/):

> For all submitted sequence data, including BAM alignment files, the GDC generates new alignments in BAM format using the latest human reference genome GRCh38 with standard alignment pipelines. Using these standard alignments, the GDC generates high level derived data, including normal and tumor variant and mutation calls in VCF and MAF formats, and gene and miRNA expression and splice junction quantification data in TSV formats.

But that needs [an NIH account](https://wiki.nci.nih.gov/display/TCGA/Application+Process) for individual-level data, which might be too restrictive for you.

There's also the [Texas Cancer Research Biobank](http://txcrb.org/data.html) (7 human cancer patients with matched normal):

> These tumor and normal specimen sequence files (FASTQ and BAM), somatic variant calls (VCF and MAF) and germline MAF files are available for each consented patient as described on the TCRB Open Access Privacy page.

That also requires account [registration](https://hgsc-sftp1.hgsc.bcm.tmc.edu/webclient/Register.xhtml), but the registration process is automated and much simpler (requires just a name, and acceptance of usage conditions). There's a [published paper](http://www.nature.com/articles/sdata201610) about that dataset.

I had some vague feeling that another repository existed (created within the last year), but I can't seem to find it from quick web searches.


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