| Run | Spots | Bases | Size | GC content | Published | Access Type |
|---|---|---|---|---|---|---|
SRR943819 |
17.4M | 1.8Gbp | 1.1G | 43.5% | 2014-06-23 | public |
This run has 1 read per spot:
| L=101, 100% |
- Legend
Technical read Application Read L=4, 100% Length is 4, 100% spots contain this read ̅L=165, σ=92.8, 66% Average length is 165, standard deviation is 92.8, 66% spots contain this read
| Experiment | Library Name | Platform | Strategy | Source | Selection | Layout | Action |
|---|---|---|---|---|---|---|---|
| SRX328381 | Illumina | RNA-Seq | TRANSCRIPTOMIC | cDNA | SINGLE |
| Biosample | Sample Description | Organism | Links |
|---|---|---|---|
| SAMN02296626 (SRS464557) | Solanum lycopersicum | PRJNA213528 |
| Bioproject | SRA Study | Title |
|---|---|---|
| PRJNA213528 | SRP028278 | Transcriptome profiling of tomato fruits of a FRUITFULL-suppressed line and rin mutant by next generation RNA sequencing |
The tomato MADS-box FRUITFULL (FUL) homologs, FUL1 and FUL2, interact with the main ripening regulator RIPENING INHIBITOR (RIN). To clarify their role in fruit ripening, we generated FUL1/FUL2-suppressed transgenic lines by RNAi. We found that five transgenic lines bearing fruits that did not ripen normally: lycopene accumulation and increase of ethylene production were severely inhibited. We then performed next generation RNA sequencing (RNA-Seq) analysis of the fruits of a FUL1/FUL2-suppressed line (TF18) with those of the wild type (Ailsa Craig cultivar; AC) and rin mutant. The comparison of RNA-Seq data among them indicated that FUL1/FUL2-suppression significantly affected the expression of a larger portion of ripening-induced and -repressed genes than the rin mutation did. Moreover, the effect of FUL1/FUL2-suppression was observed not only in the fruits harvested at the wild type ripening age [45 days after pollination (DAP)] but also in those at the pre-ripening age (35 DAP). This suggests that the FUL homologs play an essential role in the regulation of fruit development and ripening, the role which covers a wider range of biological processes than RIN does. Differentially expressed genes (DEGs) between the wild type and TF18 fruits included known ripening-related genes such as ACS2 and ACS4 involved in ethylene production and PSY1 in carotenoid biosynthesis, consistent with the phenotype of TF18 fruits described above. The DEGs also included many direct RIN target genes, which supports the hypothesis that the FUL homologs regulate fruit ripening in a form of MADS-box complex with RIN. Overall design: mRNA profiles of wild type (Ailsa Craig cultivar), rin mutant and FUL1/FUL2-suppressed tomato fruits harvested at 35DAP and 45 DAP were generated by next generation sequencing, in triplicate, using Illumina Hiseq2000.
SRA archive data
SRA archive data is normalized by the SRA load process and used by the SRA Toolkit to read and produce formats like FASTQ, SAM, etc. The default toolkit configuration enables it to find and retrieve SRA runs by accession.
Public SRA files are now available from GCP and AWS cloud platforms as well as from NCBI. Access to most data in the cloud requires a user account with the cloud service provider. The user’s account will incur costs for cloud compute or to copy data outside of the specified cloud service region.
| Type | Size | Location | Name | Free Egress | Access Type |
|---|---|---|---|---|---|
| SRA Normalized | 1,048,035 Kb | AWS | https://sra-pub-run-odp.s3.amazonaws.com/sra/SRR943819/SRR943819 | worldwide | anonymous |
| SRA Lite | 468,864 Kb | NCBI | https://sra-downloadb.be-md.ncbi.nlm.nih.gov/sos5/sra-pub-zq-11/SRR000/943/SRR943819/SRR943819.sralite.1 | worldwide | anonymous |
| AWS | s3://sra-pub-zq-8/SRR943819/SRR943819.sralite.1 | s3.us-east-1 | aws identity | ||
| GCP | gs://sra-pub-zq-107/SRR943819/SRR943819.zq.1 | gs.us-east1 | gcp identity |
Original format
The original files submitted to SRA. These files may require specific software to open, read and interpret data.
| Type | Size | Location | Name | Free Egress | Access Type |
|---|---|---|---|---|---|
| fastq | 1,296,168 Kb | AWS | s3://sra-pub-src-11/SRR943819/Im1003.fastq.gz | - | Use Cloud Data Delivery |
- Egress and Access: what does it mean?
-
Egress
term used by cloud providers to describe cost (charged to the user) of moving data outside of the storage region Free Egresscolumn indicates where the data can be accessed without an egress charge: - worldwide can be downloaded from anywhere for free
- s3.us-east-1 is free to access from machines running in Amazon's us-east-1 region, access from other regions or transport outside of AWS will require paying egress charges
- gs.US is free to access from machines running in Google’s gs.US region, access from other regions or transport outside of GCP will require paying egress charges
Access Typedescribes whether a cloud service user account is necessary for data access. "anonymous" access means general public access Namecolumn provides either a link to free download location at NCBI or a URL for the cloud provider storage location. Either s3:// for Amazon or gs:// for Google storage
- Why is SRA data in the cloud?
-
In order to support large scale (hyper parallel) data analyses SRA data is now available at GCP and AWS with few caveats:
- SRA data is copied to the cloud from NCBI. There may be a lag between availability from NCBI and from CSP (cloud service providers)
- To access public data user account with the cloud service provider is required. Your account will incur costs for cloud compute and/or to copy data (either archival or results of your comute) outside of the specified cloud service region
- Distribution of protected data is signed by NIH account and requires user to operate in the same region as the data
SRA has also begun to provide access to originally submitted source files:
- not all files have been validated by SRA
- not all files have been copied to cloud locations (recovering it from NCBI tape system takes time ).
- the volume of this type of data a much larger and it is not used as often so we will keep most of it on tape or "cold" storage in cloud. As a result the data may not be available instantly and restore requests will be served on first-come first-served basis and cost of resore may be charged to your user account.
- What is "Cloud Data Delivery"?
-
Please visit SRA Data Delivery service to request Sequence Read Archive (SRA) data to be delivered to an Amazon Web Services (AWS) or Google Cloud Platform (GCP) bucket of your choice.
Taxonomy Analysis
- Unidentified reads: 15.85%
- Identified reads: 84.15%
Strong signals
| SuperKingdom | Organism | Rank | %% | Kbp | Coverage |
|---|---|---|---|---|---|
| Eukaryota | Solanum lycopersicum | species | 82.3 | 1,450,528 | |
| Eukaryota | Solanum pennellii | species | 1.5 | 26,494 | |
| Bacteria | Bacteria | superkingdom | 0.2 | 3,204 | |
| Viruses | Tomato mosaic virus | species | 0.0 | 108 | |
| Viruses | Brome mosaic virus | species | 0.0 | 13 |
- How to read results?
Results show distribution of reads mapping to specific taxonomy nodes as a percentage of total reads within the analyzed run. In cases where a read maps to more than one related taxonomy node, the read is reported as originating from the lowest shared taxonomic node. So when a read maps to two species belonging to the same genus, it is assigned at the genus level. Sequence reads from a single organism will map to several taxonomy nodes spanning the organism’s lineage. The number of reads mapping to higher level nodes will typically be greater than those that map to terminal nodes.
STAT results are proportional to the size of sequenced genomes. Given a mixed sample containing several organisms at equal copy number, proportionally more reads originate from the larger genomes. This means that the percentages reported by STAT will reflect genome size and must be considered against the genomic complexity of the sequenced sample.
- How can I query this analysis data?
Please take a look at NCBI SRA Cloud-based Taxonomy Analysis Table