Run Browser : Browse : Sequence Read Archive : NCBI/NLM/NIH

Run	Spots	Bases	Size	GC content	Published	Access Type
SRR7610158	65.1M	13.0Gbp	5.0G	49.2%	2019-01-30	public

Quality graph (bigger)(smaller)

241

Phred quality score

This run has 2 reads per spot:

L=100, 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
SRX4474999	Skin and muscle from A. ocellaris white skin Indiv 1	Illumina	RNA-Seq	TRANSCRIPTOMIC	Oligo-dT	PAIRED

Show designHide design

RNA-Seq libraries were generated with the TruSeq Stranded mRNA Sample Preparation Kit (Illumina, Part Number RS-122-2101/2102) from 400 ng of total RNA using samples from skin, muscle and several developmental stages. Briefly, following purification with poly-T oligonucleotide-attached magnetic beads, the mRNA was fragmented using divalent cations at 94C for 2 minutes. The cleaved RNA fragments were copied into first strand cDNA using reverse transcriptase and random primers. Strand specificity was achieved by replacing dTTP with dUTP during second strand cDNA synthesis using DNA Polymerase I and RNase H. Following addition of a single 'A' base and subsequent ligation of the adapter on double stranded cDNA fragments, the products were purified and enriched with PCR (30 sec at 98C; [10 sec at 98C, 30 sec at 60C, 30 sec at 72C] x 12 cycles; 5 min at 72C) to create the cDNA library. Surplus PCR primers were further removed by purification using AMPure XP beads (Beckman Coulter) and the final cDNA libraries were checked for quality and quantified using capillary electrophoresis. The libraries were loaded in the flow cell at 2 nM (skin and muscle samples) or 2.8 nM (developmental samples) concentration. Clusters were generated in the Cbot and sequenced on the Illumina Hiseq 4000 as Paired-end 100 base reads (paired-end skin and developmental data) following Illuminas instructions.

Biosample	Sample Description	Organism	Links
SAMN09708738 (SRS3600154)		Amphiprion ocellaris	PRJNA482393

Bioproject	SRA Study	Title
PRJNA482393	SRP155482	Sequencing and transcriptome assembly of Amphiprion ocellaris

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	4,905,841 Kb	AWS	https://sra-pub-run-odp.s3.amazonaws.com/sra/SRR7610158/SRR7610158	worldwide	anonymous
SRA Lite	3,187,639 Kb	NCBI	https://sra-downloadb.be-md.ncbi.nlm.nih.gov/sos5/sra-pub-zq-16/SRR007/610/SRR7610158.sralite.1	worldwide	anonymous
		AWS	s3://sra-pub-zq-4/SRR7610158/SRR7610158.sralite.1	s3.us-east-1	aws identity
		GCP	gs://sra-pub-zq-106/SRR7610158/SRR7610158.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	3,576,372 Kb	AWS	s3://sra-pub-src-3/SRR7610158/TTLN7_S1.R1.fastq.gz	-	Use Cloud Data Delivery
fastq	3,987,052 Kb	AWS	s3://sra-pub-src-3/SRR7610158/TTLN7_S1.R2.fastq.gz	-	Use Cloud Data Delivery

Egress and Access: what does it mean?

Egressterm used by cloud providers to describe cost (charged to the user) of moving data outside of the storage region

Free Egress column 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: 13.02%
Identified reads: 86.98%

View in Krona

Strong signals

SuperKingdom	Organism	Rank	%%	Kbp
Eukaryota	Amphiprion ocellaris	species	86.1	11,201,782
Eukaryota	Acanthochromis polyacanthus	species	0.6	74,796
Bacteria	Bacteria	superkingdom	0.1	14,626
Eukaryota	Stegastes partitus	species	0.1	10,327
Eukaryota	Euarchontoglires	superorder	0.0	4,195
Eukaryota	Pseudocrenilabrinae	subfamily	0.0	4,035
Eukaryota	Eupercaria		0.0	2,903
Eukaryota	Carangaria		0.0	2,737
Eukaryota	Salmoninae	subfamily	0.0	2,350

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

How taxonomy analysis is done?: A fast, scalable, MinHash-based k-mer tool to assess Sequence Read Archive next generation sequence submissions

RNA-Seq of A. ocellaris: white skin and muscle(SRR7610158)

SRA archive data

Original format

Taxonomy Analysis

Strong signals

Intensity graph

	View: biological readstechnical readsquality scoresadvanced options Hide Read base space color space show separated reads quality score with bases show clipped show 4 channel quality scorewith bases Intensity graph Signals table
	Intensity graph