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

Run	Spots	Bases	Size	GC content	Published	Access Type
SRR901774	20.2M	3.0Gbp	2.0G	52.1%	2014-06-12	public

Quality graph (bigger)(smaller)

234

Phred quality score

This run has 2 reads per spot:

L=75, 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
SRX306530		Illumina	RNA-Seq	TRANSCRIPTOMIC	cDNA	PAIRED

Show designHide design

For each biological replicate, midgut tissue from 12 individual larvae (reared on a given host genotype) was pooled. Total RNA was extracted and isolated using a Qiagen RNAeasy kit. RNA samples were assessed for quality on a Bioanalyzer. Libraries were prepared using the mRNA-Seq8 Sample Prep Kit (Illumina), according to the manufacturer’s instructions. Libraries were prepared using the mRNA-Seq8 Sample Prep Kit (Illumina), according to the manufacturer’s instructions. Briefly, polyA-containing mRNA was purified and fragmented to an average size of approximately 2-300 nucleotides. The resulting fragmented RNA was reverse transcribed with random primers, made double stranded, end repaired, and A-tailed allowing ligation of the Illumina adaptors. Library molecules were then enriched by limited rounds of amplification, purified and analyzed for quality and size on an Agilent Bioanalyzer. All libraries were sequenced with a 75 bp paired-end sequencing run performed on the Illumina Genome Analyzer II.

Biosample	Sample Description	Organism
SAMN02202239 (SRS445464)		Trichoplusia ni

Bioproject	SRA Study	Title
PRJNA208207	SRP025999	Trichoplusia ni Transcriptome or Gene expression

Abstract:

Trichoplusia ni expression of genes in the midgut upon growth on different host plant genotypes.

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	777,697 Kb	NCBI	https://sra-downloadb.be-md.ncbi.nlm.nih.gov/sos5/sra-pub-zq-11/SRR000/901/SRR901774/SRR901774.sralite.1	worldwide	anonymous
		AWS	s3://sra-pub-zq-2/SRR901774/SRR901774.sralite.1	s3.us-east-1	aws identity
		GCP	gs://sra-pub-zq-104/SRR901774/SRR901774.zq.1	gs.us-east1	gcp identity
SRA Normalized	1,961,127 Kb	AWS	https://sra-pub-run-odp.s3.amazonaws.com/sra/SRR901774/SRR901774	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	3,794,951 Kb	AWS	s3://sra-pub-src-13/SRR901774/433AGAAXX_6_2_pf.fastq	-	Use Cloud Data Delivery
fastq	3,794,951 Kb	AWS	s3://sra-pub-src-14/SRR901774/433AGAAXX_6_1_pf.fastq	-	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: 94.74%
Identified reads: 5.26%

View in Krona

Strong signals

SuperKingdom	Organism	Rank	%%	Kbp
Eukaryota	Amyelois transitella	species	1.7	52,763
Eukaryota	Papilio polytes	species	1.7	52,365
Eukaryota	Bombyx mori	species	0.7	21,740
Eukaryota	Plutella xylostella	species	0.5	16,166
Eukaryota	Papilio machaon	species	0.4	11,415
Eukaryota	Papilio xuthus	species	0.3	9,811
Bacteria	Bacteria	superkingdom	0.3	7,872
Eukaryota	Euteleostomi		0.2	4,650
Eukaryota	Diptera	order	0.1	2,308

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

arabidopisis_aos_rep_2(SRR901774)

Abstract:

SRA archive data

Original format

Taxonomy Analysis

Strong signals

Intensity graph

	View: biological readstechnical readsquality scoresadvanced options Hide Reads 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