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Problem: When uploading data from large microarrays, the =
size of your data archive may exceed the individual file size limit of 2 GB=
.
Topic: caArray Usage
Release: caArray 2.0 and above
Date entered: 10/17/2011
Solution
This article presents a workaround which allows you to break down your d=
ataset into smaller, more manageable chunks that can be individually upload=
ed without violating the 2 GB limit.
Overview<=
/h2>
Your experiment dataset consists of an IDF metadata file and its corresp=
onding SDRF metadata file, which, in turn, is associated with one or more r=
aw and derived array data files. In this tutorial, the array files we will =
use are in the Agilent TXT (raw) and TSV (derived) formats; the file format=
s for your data may differ.
Depending on the size of your array, the combined size of these files ma=
y exceed several gigabytes, even after they are compressed into the ZIP arc=
hive format required for uploading to caArray. Since the maximum size of a =
ZIP file that can be uploaded is 2 GB, any dataset which exceeds this limit=
must be broken down into smaller chunks, each of which contains a subset o=
f the original data.
The general procedure for breaking down the dataset is as follows:
- Divide the array data files into smaller batches, each of which will be=
no larger than 2 GB following ZIP compression.
- Split the original SDRF file into multiple SDRF files, each correspondi=
ng to a single batch and referencing only the array data files from that ba=
tch.
- Create multiple IDF files derived from the original IDF, with each one =
uniquely referencing one of the SDRF files created in the previous step.
- Create a ZIP archive for each batch, containing a single IDF and its as=
sociated SDRF and raw and array data files.
- Upload each ZIP archive individually, then validate and import the file=
s from each.
Prerequis=
ites
This tutorial assumes that you have past experience and basic familiarit=
y with uploading data into caArray. Specifically, it assumes that you have =
already created an experiment for your data, uploaded the corresponding arr=
ay design, and associated the experiment with that design. In case you lack=
a basic background on uploading caArray data, please refer to the official=
caArray Use=
r's Guide on the NCI wiki at https://wiki.nci.nih.gov/x/LBo9Ag.
You must have all your experiment data readily accessible on your comput=
er (i.e., not archived or compressed). The data should preferably be consol=
idated into a single location (i.e., a folder containing every single IDF, =
SDRF, raw and derived array data file from the experiment). You will also n=
eed an archive creation utility installed on your computer. In this tutoria=
l, we will use WinZip (www.winzip.com), but any comparable utility with=
support for the ZIP format will do.
The experiment data used in this tutorial was not generated de novo;=
it came from an existing experiment whose data is publicly available =
on the official NCI instance of caArray at https://array.nci.nih.gov/caarray/home.action (Note=
that you can download this data without registering for an account on the =
site.) The experiment, entitled "TCGA Ovarian: Comparative Genome Hybridiza=
tion Analysis Using the Agilent Human Genome CGH 244A Platform", was conduc=
ted at Harvard Medical School in Boston, MA. It can be accessed via the URL=
https://array.nci.nih.gov/caarray/project/EXP-=
498 or by searching for the experiment ID 'EXP-498' on the NCI caArray =
instance. The array design used was TCGA-Agilent_HG-CGH-244A; the array des=
ign files can be downloaded from the experiment in ADF format, as can all t=
he experiment data, including the IDF and SDRF metadata files, the Agilent =
TXT raw array data files, and the TSV derived array data files.
Getting Started -- Dividing the Array Data Into Ba=
tches
The screenshot below shows a portion of the dataset from our sample expe=
riment, including the IDF and SDRF files, as well as some TXT and TSV files=
.
This dataset comprises IDF and SDRF metadata files, as well as the T=
XT raw array and TSV derived array data files they reference.
The total combined size of all the files in this dataset is a whopping 2=
6.8 GB, which is way too large to be uploaded to caArray at once, even when=
archived into a single file. Our first step, then, is to break down the da=
taset into smaller batches, each of which will be no larger than 2 GB follo=
wing ZIP compression. Since the average ZIP compression ratio of array data=
is about 2.5:1, we may safely assume that any batch smaller than 5 GB befo=
re compression will come out to less than 2 GB after compression.
Before creating the batches, first create a subfolder named 'Batches' in=
your experiment folder, then create individual subfolders ('batch1', 'batc=
h2', etc.) within that folder for each batch. Now, select multiple TXT and =
TSV files in your file manager (Windows Explorer in this tutorial), taking =
care to keep the size of the selection below 5 GB, as shown below:
When selecting a subset of your TXT and TSV files in your file manag=
er, make sure the combined size of the selected files is below 5 GB, as any=
thing larger may compress to greater than the 2 GB upload limit caArray imp=
oses for a single ZIP archive.
You can now move the file selection to the 'batch1' subfolder we created=
earlier, as shown below:
Move the selected files to the subfolder you created for this batch.=
You can repeat this procedure to create the remaining batches, as summar=
ized below, until every single file in the dataset has been accounted for:<=
/p>
- Create a separate subfolder for each new batch
- Select multiple data files in your file manager, taking care to keep se=
lection size below 5 GB uncompressed (2 GB compressed)
- Move selected files to respective batch folder
Splitting The Original SDRF File
Now that we've created batches of our array data files, our next step is=
to split the original SDRF file into multiple SDRFs, each corresponding to=
a single batch and referencing only the array data files from that batch. =
To do so, first open the original SDRF file in Microsoft Excel or another t=
ab-limited data viewer, as shown below:
The SDRF file from your experiment lists all the associated raw arra=
y data files under the column headed 'Array Data File'.
As you can see, the column headed 'Array Data File' lists the filenames =
of all the raw array data files from the experiment. The first 40 rows corr=
espond to all the data files from the first batch we created in the previou=
s section, Getting Started. We can generate a unique SDRF file for=
this batch by deleting all the other rows from the file -- except, of cour=
se, for the top header row -- and saving the modified file as a new SDRF wi=
th a different filename from the original. (The convention used in this=
tutorial is to prefix the original SDRF filename with a number representin=
g the batch, followed by a period. For example, if the original SDRF filena=
me is 'hms.harvard.edu_OV.HG-CGH-244A_1.6.0.sdrf', then the filename of the=
first, or 'zeroeth' batch, would be '0.hms.harvard.edu_OV.HG-CGH-244A_1.6.=
0.sdrf'.)
Once you've generated a new SDRF file, copy it over to its respective ba=
tch's folder. For example, '0.hms.harvard.edu_OV.HG-CGH-244A_1.6.0.sdrf' wo=
uld be copied to the 'batch1' folder containing all the array data files fr=
om the first batch we created.
You can generalize this procedure to the entire original SDRF file, and =
thus all the batches from your dataset, by following these steps:
- Open the original SDRF file and locate the rows referencing the array f=
iles for the next batch
- Delete all other rows except for the top header row
- Save the modified SDRF as a new file with a filename unique to its resp=
ective batch
- Copy the newly generated SDRF to its respective batch's folder
Creating a Unique IDF File For Each Batch
Once you've generated a unique SDRF file for each batch, you must also g=
enerate a unique IDF file which references that SDRF file. You can do so si=
mply by opening the original IDF file and editing the field 'SDRF Files' wi=
th the filename of the SDRF you wish to reference, as shown below:
Edit the field 'SDRF Files' field in your IDF file to reflect the fi=
le name of the new SDRF file you generated previously.
In this example, the originally referenced SDRF filename 'hms.harvard.ed=
u_OV.HG-CGH-244A_1.6.0.sdrf' has been changed to '0.hms.harvard.edu_OV.HG-C=
GH-244A_1.6.0.sdrf', which is the SDRF for the first batch we created.
As with the SDRF files we modified in the previous section, be sure to s=
ave the modified IDF file as a new IDF with the same filename as its refere=
nced SDRF, but with the 'IDF' extension instead of 'SDRF'. For example, the=
file which references '0.hms.harvard.edu_OV.HG-CGH-244A_1.6.0.sdrf' would =
be named '0.hms.harvard.edu_OV.HG-CGH-244A_1.6.0.idf'. Finally, copy this I=
DF file over to its respective batch's folder containing the referenced SDR=
F file and all the associated array data files.
You can repeat this procedure for all your batches. In summary:
- Open the original IDF file and locate the 'SDRF Files' field.
- Edit this field to reflect the file name of the SDRF file you wish to r=
eference.
- Save the modified IDF file with a unique filename that is parallel to t=
he referenced SDRF's filename.
- Copy the newly generated IDF to its respective batch's folder
Cre=
ating the Archives
Now that we've divided our dataset into batches and generated the correspo=
nding IDF and SDRF files for each, our next step is to create a ZIP archive=
of each batch. Launch WinZip, click the 'New' toolbar button, and enter a =
name for your archive in the 'New Archive' dialog. We'll call ours 'upload.=
zip', as shown below.
In WinZip's 'New Archive' dialog, specify a filename for the data ar=
chive to be created ('upload.zip in our example').
Once we've created the archive, we can now add files to it. We can refer=
to our previous notes of all the filenames associated with our IDF file. I=
n our example, the archive will consist of a total of 42 files: one IDF, on=
e SDRF, 20 TXT, and 20 TSV files. We can select these files in the 'Add' di=
alog as shown below, then click the 'Add' button at the bottom to begin cre=
ating the archive. (Hint: Hold down the CTRL key to select multiple fil=
es.)
In WinZip's 'Add' dialog, select all the related IDF, SDRF, raw data=
, and derived data files (a total of 42 files in our example), then click t=
he 'Add' button below to begin creating the archive.
In our example, the 'upload.zip' data archive we created is approxim=
ately 900 MB in size, which is below the 2 GB upload limit. If your data ar=
chive turns out to be larger than 2 GB, you will not be able to upload it u=
ntil you re-create it with a higher compression ratio.
Upl=
oading the Archive
To upload the archive, first log in to caArray and navigate to the experim=
ent you will be upload your data into, then select the 'Data' tab, followed=
by the 'Manage Data' tab beneath it. Now click on the 'Upload New Files' b=
utton as shown below.
Click the 'Upload New Files' button under the 'Manage Data' tab to s=
pecify the location of your data archive.
A new pop-up window entitled 'Experiment Data Upload' will appear in you=
r Web browser, prompting you to upload files. Click on the 'Browse' button,=
then select the 'upload.zip' archive we created previously from the Open d=
ialog as shown below.
In the 'Experiment Data Upload' pop-up window, click the 'Browse' bu=
tton, then in the 'File Upload' dialog, navigate to the ZIP data archive we=
created previously and click on the 'Open' button.
Back in the 'Experiment Data Upload' window, make sure that the box labe=
led 'Unpack Compressed Archive' is checked, then click on the 'Upload' butt=
on to begin uploading the file.
Back in the 'Experiment Data Upload' window, make sure that the box =
labeled 'Unpack Compressed Archive' is checked, then click on the 'Upload' =
button to begin uploading the file.
Depending on the size of the archive, the performance of your caArray se=
rver, and your network bandwidth, it may take anywhere from five to 30 minu=
tes -- and possibly longer -- for the archive to upload. Remember to keep t=
he upload window open throughout the entire upload process, even after the =
blue progress bar has reached 100%. (For reference, on a caArray server run=
ning a quad-core 2.33 Ghz Intel(R) Xeon(R) 5148 CPU with 16 GB of memory, t=
he total time required to extract and process a 1.1 GB upload after the pro=
gress bar had reached 100% was about 13 minutes and 30 seconds.)
Even when the blue upload progress bar reaches 100%, do not close th=
e 'Experiment Data Upload' window. You will be notified when the upload is =
complete.
You'll know when the upload is complete when you see a new window overla=
id over the upload window with the message 'Your file upload is complete', =
as shown below. Click the 'OK' button below this message, then click on the=
'Close Window' button behind it to return to the main experiment window.=
p>
<=
em>You'll know when the upload is complete when you see a new window overla=
id over the upload window with the message, 'Your file upload is complete'.=
Va=
lidating the Archive
Back in the main experiment window, the contents of the archive we just =
uploaded are now listed under the 'Manage Data' tab. The TSV matrix files a=
re considered supplemental, so we will move them to the 'Supplemental Files=
' tab by first using the 'Filter By File Type' drop-down to show only TSV f=
iles, then checking off all the TSV files in the list, and finally clicking=
on the 'Add Supplemental Files' button below.
<=
br>
You can mark the derived array data files as supplemental by checkin=
g them off under the 'Manage Data' tab, then clicking the 'Add Supplemental=
Files' button.
These TSV files now appear under the 'Supplemental Files' tab, alongside=
other TSV files from a previous upload to the same experiment.
The derived array data files we checked off under the 'Manage Data' =
tab now appear under the 'Supplemental Files' tab, alongside other such fil=
es from a previous upload to the same experiment.
Back on the 'Manage Data' tab, the remaining files from our upload are o=
ne IDF, one SDRF, and 20 TXTs (only the first three of these files is shown=
below due to space constraints). Note that the status of the TXT file from=
the screenshot (and of all other TXT files in the list) shows as 'Unknown'=
, which means that caArray did not automatically recognize the file type in=
this particular case. As a result, we will have to manually specify the fi=
le type ourselves by first using the 'Filter By File Type' drop-down to sho=
w only TXT files, then checking off all the TXT files in the list, and fina=
lly clicking the 'Change File Type' button below.
Since caArray didn't automatically recognize the format of the a=
rray data files we uploaded, we must manually specify the format ourselves =
by selecting the files under the 'Manage Data' tab, then clicking the 'Chan=
ge File Type' button.
For the particular data in this example, the array data files are in the=
Agilent Raw TXT format. To specify this, in the 'Manage Files' window show=
n below, select 'Agilent Raw TXT' from the 'Select New File Type' drop-down=
list, then click on the 'Save' button above it.
Manually specify the format of the uploaded array data files by sele=
cting the appropriate format (Agilent Raw TXT in this example) from the 'Se=
lect New File Type' drop-down list.
Back on the 'Manage Data' window, the status of all the TXT files now sh=
ows as 'Agilent Raw TXT', indicating that caArray now correctly recognizes =
the file type.
Back on the 'Manage Data' window, the format of all the originally u=
nrecognized array data files now shows under the 'File Type' column (as Agi=
lent Raw TXT in our example), indicating that caArray now correctly recogni=
zes the file type.
Our next step is to validate all the files, which we will do so by check=
ing off every single file in the list (IDF, SDRF, and TXT), then clicking t=
he 'Validate' button below.
To begin verifying the uploaded data, check off all the array data f=
iles under the 'Manage Data' tab, then click the 'Validate' button.
The page will now refresh with the updated status of the selected files sh=
owing as 'In Queue'. Depending on the size of the files and the performance=
of your server, the TXT files may take several minutes to validate, so be =
patient. Note that the page will not automatically refresh once the files h=
ave finished validating, so you will have to manually refresh the page your=
self by periodically clicking on the 'Refresh Status' at the bottom of the =
window until the file status updates again.
The 'Manage Data' tab now refreshes with the status of the array dat=
a files showing as 'In Queue'.
You'll know when the validation is successful when the status of the fil=
es shows as 'Validated' or 'Validated, Not Parsed'.
Once the files have been validated, you can import them into the study b=
y checking all the files in the list, then clicking on the 'Import' button =
below.
Once the data finishes validating, the 'Manage Data' tab will appear=
with the status of the array data files showing as 'Validated' or 'Validat=
ed (Not Parsed)', depending on the version of caArray you're running. =
To import the files, select them all, then click the 'Import' button.=
em>
The page will again refresh with the files' status showing as 'Importing=
'. After a few minutes, click the 'Refresh Status' until the file status up=
dates again.
The 'Manage Data' tab now refreshes with the status of all the selec=
ted files showing as 'Importing'.
You'll know when the importing is successful when the uploaded files no =
longer appear under the 'Manage Data' tab, with a message stating, 'Nothing=
Found To Display' in their place, as shown below.
The files now appear under the 'Imported Data' tab, as shown below, with=
a status of 'Imported'. Note that other, previously uploaded files from th=
e same experiment appear under this tab as well alongside the files we just=
imported.
The imported files now appear under the 'Imported Data' tab with a s=
tatus of 'Imported' alongside other files from a previous upload to the sam=
e experiment.
Reproducing the Procedure
So far, only one-sixth of the data has been uploaded. You can reproduce =
the procedure we followed so far to upload the data from your experiment. T=
he procedure, summarized below, is as follows:
- Create a ZIP archive for each batch which contains the IDF, SDRF, and a=
ll the associated TXT files, ensuring that the size of the archive is less =
than 2 GB following compression.
- Upload the ZIP archive to your caArray instance
- Depending on the format of your raw array data, manually specify the fi=
le type for the array data files, as they may not automatically recognized =
by caArray
- Validate the uploaded files
- Import the validated files into the experiment
Please leave your comment in the caArray End User Forum.=
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