sysmetex_leaching_manuscript_LNU_samples
M.Dopson_17_06
P9658
Genomics Production Stockholm
RNA-seq (no best practice analysis)
12 samples
2.0 lanes
Order received: 2017-12-04, Contract received: 2017-12-14, Samples received: 2017-12-14, Report date: 2018-04-12
(Multiple (-, -))
Jun Wang, 2018-04-12
The National Genomics Infrastructure is accredited by Swedac. This means that our services are subject to highly stringent quality control procedures, so that you can be sure that your data is of excellent quality.
Raw sequencing data is demultiplexed and converted to FastQ on site before being transferred securely to UPPMAX for delivery.
To ensure that all sequenced data meets our guarantee of data quality and quantity, a number of standardised bioinformatics quality control checks are performed before delivery. These include checking the yield, sequence read quality and cross-sample contamination.
✔ Validated under ISO accreditation 17025:2005
✔ Validated under ISO accreditation 17025:2005
✔ Validated under ISO accreditation 17025:2005
Not Applicable
Sample information table can be viewed tab-separated text file, please click here (table hidden due to number of samples). Below you can find an explanation of the header column used in the table.
Library information table can be viewed tab-separated text file, please click here (table hidden due to number of samples). Below you can find an explanation of the header column used in the table.
Date | Flowcell | Lane | Clusters(M) | PhiX | >=Q30(%) | Method |
---|---|---|---|---|---|---|
180406 | ACBKUTANXX |
3 | 287 | 0.39 | 89.34 | A |
180406 | ACBKUTANXX |
4 | 288 | 0.4 | 89.43 | A |
The table is also saved as parseable tab-separated text file for convenience. Below you can find an explanation of the header column used in the table.
The data is delivered in FastQ format using Illumina 1.8 quality scores. There will be one file for the forward reads and one file for the reverse reads (if the run was a paired-end run).
The naming of the files follow the convention:
[NGI-NAME]_[BCL-CONVERSION-ID]_[LANE]_[READ]_[VOLUME].fastq.gz
Data from the sequencing have been be uploaded to the UPPNEX (UPPMAX Next Generation sequence Cluster Storage, uppmax.uu.se) called GRUS. More details can be found on the following links
In publications based on data from the work covered by this agreement, the authors must acknowledge SciLifeLab, NGI and Uppmax:
The authors would like to acknowledge support from Science for Life Laboratory, the National Genomics Infrastructure, NGI, and Uppmax for providing assistance in massive parallel sequencing and computational infrastructure.
If you have any queries, please get in touch at .