| Run | Spots | Bases | Size | GC content | Published | Access Type |
|---|---|---|---|---|---|---|
SRR4434783 |
23.9M | 6.0Gbp | 3.1G | 51.2% | 2016-10-23 | 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 |
|---|---|---|---|---|---|---|---|
| SRX2254012 | Illumina | RNA-Seq | TRANSCRIPTOMIC | cDNA | PAIRED |
| Biosample | Sample Description | Organism | Links |
|---|---|---|---|
| SAMN05929780 (SRS1753647) | Anas platyrhynchos | PRJNA349262 |
| Bioproject | SRA Study | Title |
|---|---|---|
| PRJNA349262 | SRP091845 | Deep RNA Sequencing of Pectoralis Muscle Transcriptomes during Late-term Embryonic to Neonatal Development in Indigenous Chinese Duck Breeds |
In this project we try to character potential candidate genes and signaling pathways related to PM development during late-term embryonic to neonatal development in indigenous chinese duck breeds. We use RNA-seq to analyse PM samples selected at embryonic days (E) 21 and 27 and 5 days post-hatch (dph) in Gaoyou and Jinding ducks. There were about 45 million clean reads, the total mapped rate was 58.58%–64.82%, and the uniquely mapped rate was 56.21%–63.55%.The results of cluster analysis of DEGs are shown that with the same developmental time nodes superimposed. There were 522 DEGs between Gaoyou and Jinding ducks at E21, including 146 novel genes. There were 299 DEGs and 81 novel genes at E27, and 510 DEGs and 118 novel genes at 5 dph. A total of 43 DEGs were shared by both breeds at all time points, including 19 novel genes.We further considered the 393 genes with expression patterns in line with the muscle development curve in both breeds. these DEGs may be involved in the mechanisms responsible for the phenomenon of static or decreased breast muscle growth in duck breeds during the late embryonic period. Overall design: Constructed eighteen polyA mRNA-seq libraries, including nine from Gaoyou duck PM at E21 and E27, and at 5 days post-hatching (dph) (three libraries at each developmental stage), and nine libraries from Jinding duck PM at the same time points (three libraries at each developmental stage). We performed an integrated analysis of the DEGs detected in this work to identify key genes affecting early PM development in ducks.
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 | 3,017,396 Kb | AWS | https://sra-pub-run-odp.s3.amazonaws.com/sra/SRR4434783/SRR4434783 | worldwide | anonymous |
| SRA Lite | 1,517,838 Kb | NCBI | https://sra-downloadb.be-md.ncbi.nlm.nih.gov/sos5/sra-pub-zq-14/SRR004/434/SRR4434783.sralite.1 | worldwide | anonymous |
| AWS | s3://sra-pub-zq-9/SRR4434783/SRR4434783.sralite.1 | s3.us-east-1 | aws identity | ||
| GCP | gs://sra-pub-zq-103/SRR4434783/SRR4434783.noqual.1 | gs.us-east1 | gcp identity |
- 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: 10.44%
- Identified reads: 89.56%
Strong signals
| SuperKingdom | Organism | Rank | %% | Kbp | Coverage |
|---|---|---|---|---|---|
| Eukaryota | Anas platyrhynchos | species | 85.9 | 5,144,789 | |
| Eukaryota | Anser cygnoides domesticus | subspecies | 1.7 | 99,080 | |
| Eukaryota | Manacus vitellinus | species | 0.4 | 25,430 | |
| Eukaryota | Rattus norvegicus | species | 0.2 | 12,776 | |
| Eukaryota | Passeroidea | superfamily | 0.2 | 9,422 | |
| Eukaryota | Acanthisittidae | family | 0.1 | 8,810 | |
| Eukaryota | Gallus gallus | species | 0.1 | 6,870 | |
| Eukaryota | Calidris pugnax | species | 0.1 | 6,718 | |
| Eukaryota | Nestor notabilis | species | 0.1 | 6,692 |
- 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