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#1 |
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Senior Member
Location: Santa Fe, NM Join Date: Oct 2010
Posts: 153
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Are there any good places to find publicly and freely available transcriptome datasets including the raw reads preferably Illumina, for the purposes of publishing a resource paper?
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#2 |
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Senior Member
Location: bethesda Join Date: Feb 2009
Posts: 410
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Check out : http://www.ncbi.nlm.nih.gov/geo/quer...i?acc=GSE29158
You can download the raw reads. This is this study : Toung JM, Morley M, Li M, Cheung VG. RNA-sequence analysis of human B-cells. Genome Res 2011 Jun;21(6):991-8. PMID: 21536721 It's the RNA seq of several "Coriell CEPH B-Cell" cell lines; so it's theoretically close to "normal rna-seq". I used a model based alignment of this data to the genome (genome+refome+altspliceome+estome) approach. These results are viewable at Cancer Genome Workbench under hg19 , "Cancer Genome Workbench - Miscellaneous Tracks" , UPENN_BCELL_NG_RNA Just click on this URL ... https://cgwb.nci.nih.gov/cgi-bin/hgT...LL_NG_RNA=full You can zoom in and right click on the tracks to use Bambino to view the details. This is one of the few good PUBLIC human rnaseq datasets. A lot of data is secret under US privacy laws. Last edited by Richard Finney; 03-21-2012 at 09:44 AM. |
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#3 | |
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Senior Member
Location: Santa Fe, NM Join Date: Oct 2010
Posts: 153
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Quote:
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#4 |
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Member
Location: Beijing Join Date: Feb 2011
Posts: 16
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Hi, are there any good places to find freely RNA-seq data of all or many different human cell lines ,and RNA-seq data of all or many different human tissue? If NCBI database can find this, how can I to find all these data?
I am looking forward to your reply. Best wishes! Thank you! |
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#5 |
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Senior Member
Location: Heidelberg, Germany Join Date: Feb 2010
Posts: 786
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A good staring pint might be the ReCount resource: http://bowtie-bio.sourceforge.net/recount/
For different cell lines, look at the Encode project, and for different tissue types, maybe at the paper by Brawand et al. (Nature, 2011). |
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#6 |
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Junior Member
Location: NYC Join Date: Oct 2008
Posts: 8
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#7 |
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Junior Member
Location: new york Join Date: Jul 2012
Posts: 6
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Well you can try out the link given below. May be it can work. It contains important information on transcriptome data sets. I get to know so much in detail about these data sets and believe me it's really good to know so much about it.
More info.click here.. http://www.prlog.org/12068683-ashfor...ng-40-off.html
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click here >>> http://www.prlog.org/12116397-ashfor...uire-soon.html Last edited by Geoffreyion; 04-10-2013 at 10:23 PM. |
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