We compiled a CiteULike library with 14 papers citing Galaxy-qld. Google Scholar was queried with “galaxy-qld” and the results were manually filtered to exclude incorrectly assigned papers. PhD theses were also excluded from the library.
Galaxy-qld storage is nearly full at the moment, plus we observe an elevated user activity including upload of new data. We cannot increase the data storage capacity right now, but we trying to solve this issue. In meantime we are chasing non-active users and power users with big histories loaded with intermediate files such as SAMs. We want to make sure that the server will run smoothly over the Christmas time.
Galaxy-qld was designed for data analysis. It does not have capacity to store user data for long time.
Accounts created with non-valid emails will be deleted.
Files stored on the server for more than six months might be deleted.
Trinotate, a tool for transcriptome annotation, is added to Galaxy-qld. We also created a public Blastp database for UniProtKB / Swiss-Prot release 2017_11. The server has Generate gene to transcript map [for Trinity assembly] and Transdecoder. Outputs of these tools are used by Trinotate.
Trinotate uses multiple Blast hits in transcript annotations, including multiple hits for the same protein sequence. Users may want to tweak the default Blastp output options and reduce number of reported hits from UniProtKB / Swiss-Prot database. A single best hit might be sufficient for annotation.
The GVL RStudio server had a major upgrade last week. Derek deployed a new GVL VM and upgraded RStudio to version 1.1.383. Security is improved by switching to https. The access link is changed to:
All user accounts were moved to the new server. In case of any issues with the updated server, contact Igor at firstname.lastname@example.org
Users registered on Galaxy-qld during last few days may experience problems with ftp uploads. If you cannot connect to Galaxy-qld via ftp/ftp client with error: “530 Login incorrect. Login failed.”, change your Galaxy password. This should resolve the problem.
Users who recently changed the Galaxy password may experience the same issue. Changing the password again should help.
We noticed that with the default settings RNA_STAR cannot map majority of reads in some RNA-Seq datasets from Arabidopsis. Here is an extract from the log file:
Uniquely mapped reads % | 3.27% % of reads mapped to multiple loci | 10.06% % of reads unmapped: too short | 86.64%
Read a detailed explanation of ‘too short’ classification from Alexander Dobin.
Proportion of mapped reads can be increased by modification of alignment settings. Note that the procedure is described for RNA STAR Gapped-read mapper for RNA-seq data (Galaxy Version 2.4.0d-2). For additional information check relevant RNA_STAR threads, such as this one.
Set Would you like to set output parameters (formatting and filtering)? to Yes.
Set Would you like to set additional output parameters (formatting and filtering)? to Yes.
Reduce the default 0.66 value for the following filter options:
Minimum alignment score, normalized to read length (–outFilterScoreMinOverLread)
Minimum number of matched bases, normalized to read length (–outFilterMatchNminOverLread)
(can be 0)
Set Other parameters (seed, alignment, and chimeric alignment) to Yes
Set Would you like to set alignment parameters? to Yes
Reduce value for Minimum mapped length for a read mate that is spliced, normalized to mate length (–alignSplicedMateMapLminOverLmate) from the default 0.66 to something smaller.
Inspect the alignment, just to make sure you are happy with mapping.