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  1. IGB
  2. IGBF-3244

Run rnaseq pipeline on mark-2022-timeseries

        Details

        • Type: Task
        • Status: Closed (View Workflow)
        • Priority: Major
        • Resolution: Done
        • Affects Version/s: None
        • Fix Version/s: None
        • Labels:
          None

          Description

          Run nextflow for the dataset in:

          /projects/tomato_genome/rnaseq/mark-2022-timeseries/30-771363348/00_fastq

          This is the "time course" dataset discussed by Rasha at the 2023-01-17 group meeting. Note that she has already run nextflow for this dataset but using "unstranded" for the "strandedness" parameter in the "samples.csv" file. It turns out this dataset comes from libraries that were created using a strand-specific RNA-Seq library. To be on the safe side, we should re-run the pipeline using parameter "reverse", as indicated in the multiQC report included with Rasha's initial run of the nextflow nf-core rnaseq pipeline.

          Kindly run the nf-core pipeline in this location:

          • /nobackup/tomato_genome/mark-2022-timeseries

          Note on attached files:

          • multiqc report on the entire run done by Rasha is attached, copied from google drive location GTTR-NSF PGRP - 2020-24 IOS-1939255 > Experiments > Rasha_RNA-seq_Time_Course > Results > multiqc > star_salmon > multiqc_report.html
          • Link: https://drive.google.com/drive/u/1/folders/1GJnZefP-7TE-ch-c0lblGZMOqpwSgZRK
          • 2023-01-18_timeseries_multiqc_report.html - MultiQC report from re-running nextflow (Molly's new work)\
          • sample.csv - new samples file used to re-run nextflow (Molly's new work)

            Attachments

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              relates to

              Task - A task that needs to be done. IGBF-3246 Generate list of EBSeq-HMM clusters for varieties and conditions

              • Major - Major loss of function.
              • Closed

              Task - A task that needs to be done. IGBF-3245 Investigate: Why do coverage graphs look different?

              • Major - Major loss of function.
              • To-Do

                Activity

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                aloraine Ann Loraine created issue -
                aloraine Ann Loraine made changes -
                Field Original Value New Value
                Epic Link IGBF-2993 [ 21429 ]
                aloraine Ann Loraine made changes -
                Assignee Ann Loraine [ aloraine ]
                aloraine Ann Loraine made changes -
                Summary Re-run nfcore rnaseq pipeline for seedlingPollen data Run nfcore rnaseq pipeline for time course data
                aloraine Ann Loraine made changes -
                Description We need to re-run nf-core pipeline with a new strandedness parameter as noted in attached multiqc report.
                aloraine Ann Loraine made changes -
                Description Run nextflow for the dataset in:

                /projects/tomato_genome/rnaseq/mark-2022-timeseries/30-771363348/00_fastq

                This is the "time course" dataset discussed by Rasha at the 2023-01-17 group meeting. Note that she has already run nextflow for this dataset but using "unstranded" for the "strandedness" parameter in the "samples.csv" file. It turns out this dataset comes from libraries that were created using a strand-specific RNA-Seq library. To be on the safe side, we should re-run the pipeline using parameter "reverse", as indicated in the multiQC report included with Rasha's initial run of the nextflow nf-core rnaseq pipeline.

                Run the nf-core pipeline in this location: /

                * nobackup/tomato_genome/mark-2022-timeseries
                aloraine Ann Loraine made changes -
                Summary Run nfcore rnaseq pipeline for time course data Run rnaseq pipeline on
                aloraine Ann Loraine made changes -
                Summary Run rnaseq pipeline on Run rnaseq pipeline on mark-2022-timeseries
                aloraine Ann Loraine made changes -
                Attachment 2022-11-24_multiqc_report.html [ 17651 ]
                aloraine Ann Loraine made changes -
                Description Run nextflow for the dataset in:

                /projects/tomato_genome/rnaseq/mark-2022-timeseries/30-771363348/00_fastq

                This is the "time course" dataset discussed by Rasha at the 2023-01-17 group meeting. Note that she has already run nextflow for this dataset but using "unstranded" for the "strandedness" parameter in the "samples.csv" file. It turns out this dataset comes from libraries that were created using a strand-specific RNA-Seq library. To be on the safe side, we should re-run the pipeline using parameter "reverse", as indicated in the multiQC report included with Rasha's initial run of the nextflow nf-core rnaseq pipeline.

                Run the nf-core pipeline in this location: /

                * nobackup/tomato_genome/mark-2022-timeseries                 		Run nextflow for the dataset in:

                /projects/tomato_genome/rnaseq/mark-2022-timeseries/30-771363348/00_fastq

                This is the "time course" dataset discussed by Rasha at the 2023-01-17 group meeting. Note that she has already run nextflow for this dataset but using "unstranded" for the "strandedness" parameter in the "samples.csv" file. It turns out this dataset comes from libraries that were created using a strand-specific RNA-Seq library. To be on the safe side, we should re-run the pipeline using parameter "reverse", as indicated in the multiQC report included with Rasha's initial run of the nextflow nf-core rnaseq pipeline.

                Run the nf-core pipeline in this location: /

                * nobackup/tomato_genome/mark-2022-timeseries

                Note on attachments:

                * multiqc report on the entire run done by Rasha is attached, copied from google drive location GTTR-NSF PGRP - 2020-24 IOS-1939255 > Experiments > Rasha_RNA-seq_Time_Course > Results > multiqc > star_salmon > multiqc_report.html
                aloraine Ann Loraine made changes -
                Description Run nextflow for the dataset in:

                /projects/tomato_genome/rnaseq/mark-2022-timeseries/30-771363348/00_fastq

                This is the "time course" dataset discussed by Rasha at the 2023-01-17 group meeting. Note that she has already run nextflow for this dataset but using "unstranded" for the "strandedness" parameter in the "samples.csv" file. It turns out this dataset comes from libraries that were created using a strand-specific RNA-Seq library. To be on the safe side, we should re-run the pipeline using parameter "reverse", as indicated in the multiQC report included with Rasha's initial run of the nextflow nf-core rnaseq pipeline.

                Run the nf-core pipeline in this location: /

                * nobackup/tomato_genome/mark-2022-timeseries

                Note on attachments:

                * multiqc report on the entire run done by Rasha is attached, copied from google drive location GTTR-NSF PGRP - 2020-24 IOS-1939255 > Experiments > Rasha_RNA-seq_Time_Course > Results > multiqc > star_salmon > multiqc_report.html                 		Run nextflow for the dataset in:

                /projects/tomato_genome/rnaseq/mark-2022-timeseries/30-771363348/00_fastq

                This is the "time course" dataset discussed by Rasha at the 2023-01-17 group meeting. Note that she has already run nextflow for this dataset but using "unstranded" for the "strandedness" parameter in the "samples.csv" file. It turns out this dataset comes from libraries that were created using a strand-specific RNA-Seq library. To be on the safe side, we should re-run the pipeline using parameter "reverse", as indicated in the multiQC report included with Rasha's initial run of the nextflow nf-core rnaseq pipeline.

                Kindly run the nf-core pipeline in this location: /

                * nobackup/tomato_genome/mark-2022-timeseries

                Note on attached files:

                * multiqc report on the entire run done by Rasha is attached, copied from google drive location GTTR-NSF PGRP - 2020-24 IOS-1939255 > Experiments > Rasha_RNA-seq_Time_Course > Results > multiqc > star_salmon > multiqc_report.html
                aloraine Ann Loraine made changes -
                Description Run nextflow for the dataset in:

                /projects/tomato_genome/rnaseq/mark-2022-timeseries/30-771363348/00_fastq

                This is the "time course" dataset discussed by Rasha at the 2023-01-17 group meeting. Note that she has already run nextflow for this dataset but using "unstranded" for the "strandedness" parameter in the "samples.csv" file. It turns out this dataset comes from libraries that were created using a strand-specific RNA-Seq library. To be on the safe side, we should re-run the pipeline using parameter "reverse", as indicated in the multiQC report included with Rasha's initial run of the nextflow nf-core rnaseq pipeline.

                Kindly run the nf-core pipeline in this location: /

                * nobackup/tomato_genome/mark-2022-timeseries

                Note on attached files:

                * multiqc report on the entire run done by Rasha is attached, copied from google drive location GTTR-NSF PGRP - 2020-24 IOS-1939255 > Experiments > Rasha_RNA-seq_Time_Course > Results > multiqc > star_salmon > multiqc_report.html                 		Run nextflow for the dataset in:

                /projects/tomato_genome/rnaseq/mark-2022-timeseries/30-771363348/00_fastq

                This is the "time course" dataset discussed by Rasha at the 2023-01-17 group meeting. Note that she has already run nextflow for this dataset but using "unstranded" for the "strandedness" parameter in the "samples.csv" file. It turns out this dataset comes from libraries that were created using a strand-specific RNA-Seq library. To be on the safe side, we should re-run the pipeline using parameter "reverse", as indicated in the multiQC report included with Rasha's initial run of the nextflow nf-core rnaseq pipeline.

                Kindly run the nf-core pipeline in this location:

                * /nobackup/tomato_genome/mark-2022-timeseries

                Note on attached files:

                * multiqc report on the entire run done by Rasha is attached, copied from google drive location GTTR-NSF PGRP - 2020-24 IOS-1939255 > Experiments > Rasha_RNA-seq_Time_Course > Results > multiqc > star_salmon > multiqc_report.html
                Mdavis4290 Molly Davis (Inactive) made changes -
                Assignee Molly Davis [ molly ]
                Mdavis4290 Molly Davis (Inactive) made changes -
                Description Run nextflow for the dataset in:

                /projects/tomato_genome/rnaseq/mark-2022-timeseries/30-771363348/00_fastq

                This is the "time course" dataset discussed by Rasha at the 2023-01-17 group meeting. Note that she has already run nextflow for this dataset but using "unstranded" for the "strandedness" parameter in the "samples.csv" file. It turns out this dataset comes from libraries that were created using a strand-specific RNA-Seq library. To be on the safe side, we should re-run the pipeline using parameter "reverse", as indicated in the multiQC report included with Rasha's initial run of the nextflow nf-core rnaseq pipeline.

                Kindly run the nf-core pipeline in this location:

                * /nobackup/tomato_genome/mark-2022-timeseries

                Note on attached files:

                * multiqc report on the entire run done by Rasha is attached, copied from google drive location GTTR-NSF PGRP - 2020-24 IOS-1939255 > Experiments > Rasha_RNA-seq_Time_Course > Results > multiqc > star_salmon > multiqc_report.html                 		Run nextflow for the dataset in:

                /projects/tomato_genome/rnaseq/mark-2022-timeseries/30-771363348/00_fastq

                This is the "time course" dataset discussed by Rasha at the 2023-01-17 group meeting. Note that she has already run nextflow for this dataset but using "unstranded" for the "strandedness" parameter in the "samples.csv" file. It turns out this dataset comes from libraries that were created using a strand-specific RNA-Seq library. To be on the safe side, we should re-run the pipeline using parameter "reverse", as indicated in the multiQC report included with Rasha's initial run of the nextflow nf-core rnaseq pipeline.

                Kindly run the nf-core pipeline in this location:

                * /nobackup/tomato_genome/mark-2022-timeseries

                Note on attached files:

                * multiqc report on the entire run done by Rasha is attached, copied from google drive location GTTR-NSF PGRP - 2020-24 IOS-1939255 > Experiments > Rasha_RNA-seq_Time_Course > Results > multiqc > star_salmon > multiqc_report.html
                * Link: https://drive.google.com/drive/u/1/folders/1GJnZefP-7TE-ch-c0lblGZMOqpwSgZRK
                Mdavis4290 Molly Davis (Inactive) made changes -
                Attachment sample.csv [ 17652 ]
                Mdavis4290 Molly Davis (Inactive) made changes -
                Status To-Do [ 10305 ] In Progress [ 3 ]
                Mdavis4290 Molly Davis (Inactive) made changes -
                Attachment Screen Shot 2023-01-18 at 4.45.24 PM.png [ 17654 ]
                Mdavis4290 Molly Davis (Inactive) made changes -
                Assignee Molly Davis [ molly ]
                Mdavis4290 Molly Davis (Inactive) made changes -
                Status In Progress [ 3 ] Needs 1st Level Review [ 10005 ]
                Mdavis4290 Molly Davis (Inactive) made changes -
                Attachment timeseries_multiqc_report.html [ 17658 ]
                aloraine Ann Loraine made changes -
                Assignee Ann Loraine [ aloraine ]
                aloraine Ann Loraine made changes -
                Status Needs 1st Level Review [ 10005 ] First Level Review in Progress [ 10301 ]
                aloraine Ann Loraine made changes -
                Status First Level Review in Progress [ 10301 ] Needs 1st Level Review [ 10005 ]
                aloraine Ann Loraine made changes -
                Status Needs 1st Level Review [ 10005 ] First Level Review in Progress [ 10301 ]
                aloraine Ann Loraine made changes -
                Status First Level Review in Progress [ 10301 ] Ready for Pull Request [ 10304 ]
                aloraine Ann Loraine made changes -
                Status Ready for Pull Request [ 10304 ] Pull Request Submitted [ 10101 ]
                aloraine Ann Loraine made changes -
                Status Pull Request Submitted [ 10101 ] Reviewing Pull Request [ 10303 ]
                aloraine Ann Loraine made changes -
                Status Reviewing Pull Request [ 10303 ] Merged Needs Testing [ 10002 ]
                aloraine Ann Loraine made changes -
                Status Merged Needs Testing [ 10002 ] Post-merge Testing In Progress [ 10003 ]
                aloraine Ann Loraine made changes -
                Resolution Done [ 10000 ]
                Status Post-merge Testing In Progress [ 10003 ] Closed [ 6 ]
                aloraine Ann Loraine made changes -
                Assignee Ann Loraine [ aloraine ] Molly Davis [ molly ]
                aloraine Ann Loraine made changes -
                Link This issue relates to IGBF-3245 [ IGBF-3245 ]
                aloraine Ann Loraine made changes -
                Attachment timeseries_multiqc_report.html [ 17658 ]
                aloraine Ann Loraine made changes -
                Attachment 2023-01-18_timeseries_multiqc_report.html [ 17667 ]
                aloraine Ann Loraine made changes -
                Description Run nextflow for the dataset in:

                /projects/tomato_genome/rnaseq/mark-2022-timeseries/30-771363348/00_fastq

                This is the "time course" dataset discussed by Rasha at the 2023-01-17 group meeting. Note that she has already run nextflow for this dataset but using "unstranded" for the "strandedness" parameter in the "samples.csv" file. It turns out this dataset comes from libraries that were created using a strand-specific RNA-Seq library. To be on the safe side, we should re-run the pipeline using parameter "reverse", as indicated in the multiQC report included with Rasha's initial run of the nextflow nf-core rnaseq pipeline.

                Kindly run the nf-core pipeline in this location:

                * /nobackup/tomato_genome/mark-2022-timeseries

                Note on attached files:

                * multiqc report on the entire run done by Rasha is attached, copied from google drive location GTTR-NSF PGRP - 2020-24 IOS-1939255 > Experiments > Rasha_RNA-seq_Time_Course > Results > multiqc > star_salmon > multiqc_report.html
                * Link: https://drive.google.com/drive/u/1/folders/1GJnZefP-7TE-ch-c0lblGZMOqpwSgZRK                 		Run nextflow for the dataset in:

                /projects/tomato_genome/rnaseq/mark-2022-timeseries/30-771363348/00_fastq

                This is the "time course" dataset discussed by Rasha at the 2023-01-17 group meeting. Note that she has already run nextflow for this dataset but using "unstranded" for the "strandedness" parameter in the "samples.csv" file. It turns out this dataset comes from libraries that were created using a strand-specific RNA-Seq library. To be on the safe side, we should re-run the pipeline using parameter "reverse", as indicated in the multiQC report included with Rasha's initial run of the nextflow nf-core rnaseq pipeline.

                Kindly run the nf-core pipeline in this location:

                * /nobackup/tomato_genome/mark-2022-timeseries

                Note on attached files:

                * multiqc report on the entire run done by Rasha is attached, copied from google drive location GTTR-NSF PGRP - 2020-24 IOS-1939255 > Experiments > Rasha_RNA-seq_Time_Course > Results > multiqc > star_salmon > multiqc_report.html
                * Link: https://drive.google.com/drive/u/1/folders/1GJnZefP-7TE-ch-c0lblGZMOqpwSgZRK
                * 2023-01-18_timeseries_multiqc_report.html - MultiQC report from re-running nextflow (Molly's new work)
                aloraine Ann Loraine made changes -
                Description Run nextflow for the dataset in:

                /projects/tomato_genome/rnaseq/mark-2022-timeseries/30-771363348/00_fastq

                This is the "time course" dataset discussed by Rasha at the 2023-01-17 group meeting. Note that she has already run nextflow for this dataset but using "unstranded" for the "strandedness" parameter in the "samples.csv" file. It turns out this dataset comes from libraries that were created using a strand-specific RNA-Seq library. To be on the safe side, we should re-run the pipeline using parameter "reverse", as indicated in the multiQC report included with Rasha's initial run of the nextflow nf-core rnaseq pipeline.

                Kindly run the nf-core pipeline in this location:

                * /nobackup/tomato_genome/mark-2022-timeseries

                Note on attached files:

                * multiqc report on the entire run done by Rasha is attached, copied from google drive location GTTR-NSF PGRP - 2020-24 IOS-1939255 > Experiments > Rasha_RNA-seq_Time_Course > Results > multiqc > star_salmon > multiqc_report.html
                * Link: https://drive.google.com/drive/u/1/folders/1GJnZefP-7TE-ch-c0lblGZMOqpwSgZRK
                * 2023-01-18_timeseries_multiqc_report.html - MultiQC report from re-running nextflow (Molly's new work)                 		Run nextflow for the dataset in:

                /projects/tomato_genome/rnaseq/mark-2022-timeseries/30-771363348/00_fastq

                This is the "time course" dataset discussed by Rasha at the 2023-01-17 group meeting. Note that she has already run nextflow for this dataset but using "unstranded" for the "strandedness" parameter in the "samples.csv" file. It turns out this dataset comes from libraries that were created using a strand-specific RNA-Seq library. To be on the safe side, we should re-run the pipeline using parameter "reverse", as indicated in the multiQC report included with Rasha's initial run of the nextflow nf-core rnaseq pipeline.

                Kindly run the nf-core pipeline in this location:

                * /nobackup/tomato_genome/mark-2022-timeseries

                Note on attached files:

                * multiqc report on the entire run done by Rasha is attached, copied from google drive location GTTR-NSF PGRP - 2020-24 IOS-1939255 > Experiments > Rasha_RNA-seq_Time_Course > Results > multiqc > star_salmon > multiqc_report.html
                * Link: https://drive.google.com/drive/u/1/folders/1GJnZefP-7TE-ch-c0lblGZMOqpwSgZRK
                * 2023-01-18_timeseries_multiqc_report.html - MultiQC report from re-running nextflow (Molly's new work)\
                * sample.csv - new samples file used to re-run nextflow (Molly's new work)
                aloraine Ann Loraine made changes -
                Link This issue relates to IGBF-3246 [ IGBF-3246 ]

                  People

                  • Assignee:
                    Mdavis4290 Molly Davis (Inactive)
                    Reporter:
                    aloraine Ann Loraine
                  • Votes:
                    0 Vote for this issue
                    Watchers:
                    2 Start watching this issue

                    Dates

                    • Created:
                      Updated:
                      Resolved: