| Run | Spots | Bases | Size | GC content | Published | Access Type |
|---|---|---|---|---|---|---|
SRR2175731 |
18.4M | 4.6Gbp | 1.5G | 44.1% | 2015-11-30 | public |
This run has 2 reads per spot:
| L=125, 100% | L=125, 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 |
|---|---|---|---|---|---|---|---|
| SRX1160115 | Illumina | RNA-Seq | TRANSCRIPTOMIC | cDNA | PAIRED |
| Biosample | Sample Description | Organism | Links |
|---|---|---|---|
| SAMN04002491 (SRS1041110) | Solanum lycopersicum | PRJNA293380 |
| Bioproject | SRA Study | Title |
|---|---|---|
| PRJNA293380 | SRP062640 | Spatial-temporal order of regulation in tomato early fruit development |
Early fruit development is crucial for crop production in tomato. After fertilization, the ovary undergoes a cell division and a cell expansion stages before maturation. Although the roles of regulatory signals such as hormone and carbohydrate during early fruit development have been studied, the spatial distribution and the sequential initiation of these regulatory signals is still poorly understood. Using the cultivated tomato “Moneymaker” as materials, we analyzed the transcriptome of the ovule and the ovary wall dissected from the different stages of the early developing fruits. These datasets provide us the whole picture about the spatial and temporal signal distribution of fruit formation which has not been studied in such a detailed manner. Our results suggest that the hormone signal was initiated in both ovule and ovary wall after fertilization. After that, the different signals were activated in ovule and ovary wall due to their distinct developmental processes. By analyzing the global expression profiling of hormone related genes, we found that the auxin might be synthesized in both ovule and ovary wall after fertilization. The expression pattern of sugar related genes revealed the different carbohydrate metabolism events occurred in ovule and ovary wall. At last, we identified a gene showed tissue and stage specific expression pattern and localized in previously reported fruit weight locus which might be selected during tomato breeding. Overall design: RNA-seq of ovule and ovary wall/pericarp tissues in four stages of tomato early developing fruits
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 Lite | 1,168,472 Kb | NCBI | https://sra-downloadb.be-md.ncbi.nlm.nih.gov/sos5/sra-pub-zq-11/SRR002/175/SRR2175731/SRR2175731.sralite.1 | worldwide | anonymous |
| AWS | s3://sra-pub-zq-6/SRR2175731/SRR2175731.sralite.1 | s3.us-east-1 | aws identity | ||
| GCP | gs://sra-pub-zq-102/SRR2175731/SRR2175731.zq.1 | gs.us-east1 | gcp identity | ||
| SRA Normalized | 1,486,424 Kb | AWS | https://sra-pub-run-odp.s3.amazonaws.com/sra/SRR2175731/SRR2175731 | worldwide | anonymous |
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 | 5,413,671 Kb | AWS | s3://sra-pub-src-5/SRR2175731/R04_repeat1.R2.fastq | - | Use Cloud Data Delivery |
| fastq | 5,413,671 Kb | AWS | s3://sra-pub-src-7/SRR2175731/R04_repeat1.R1.fastq | - | 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: 3.92%
- Identified reads: 96.08%
Strong signals
| SuperKingdom | Organism | Rank | %% | Kbp | Coverage |
|---|---|---|---|---|---|
| Eukaryota | Solanum lycopersicum | species | 94.4 | 4,352,089 | |
| Eukaryota | Solanum pennellii | species | 1.0 | 45,761 | |
| Bacteria | Acinetobacter johnsonii | species | 0.2 | 9,394 | 2.6 |
| Eukaryota | Homininae | subfamily | 0.2 | 8,130 | |
| Eukaryota | Solanum tuberosum | species | 0.1 | 4,800 | |
| Bacteria | Pseudomonas | genus | 0.0 | 2,005 | |
| Viruses | Tomato yellow leaf curl virus | species | 0.0 | 1,770 | |
| Bacteria | Sphingobacterium sp. Ag1 | species | 0.0 | 807 | |
| Bacteria | Bradyrhizobium | genus | 0.0 | 729 |
- 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