Details
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Type:
Task
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Status: Closed (View Workflow)
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Priority:
Major
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Resolution: Done
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Affects Version/s: None
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Fix Version/s: None
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Labels:None
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Story Points:2
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Epic Link:
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Sprint:Summer 1, Summer 2, Summer 3
Description
Use case:
We have observed that many alignments from single cell RNA-Seq experiments look wrong. That is, the aligned sequences contain enormous gaps relative to the genomic sequence. These seemingly spurious alignments appear to support introns that are way too large and which are unlikely to be real.
It would be helpful if a user (me
) could apply a filter that would hide such apparently spurious alignments.
I propose creating an all-new IGB App that would allow a user to hide any alignments with gaps (e.g., introns) that are longer than a user-entered value. Also, to save effort, let's choose a default length of 10,000 bases.
See attached for an image showing examples of overly long gaps in a alignments track.
See this directory for example data:
Note that the file named "possorted_genome_bam.bam" contains many alignments with extremely long gaps. Also, please note that the reference genome assembly for this data file is from the tomato Sept 2019 assembly, also called "SL4". In IGB, this genome assembly versions' name is: "S_lycopersicum_Sep_2019." It is the second most recent genome version for tomato available from our Quickload sites.
The data are from an experiment done by Rasha from Mark Johnson's lab and the data are already submitted to the Sequence Read Archive under accession SRP538407. Also, the "run_1_S1" directory correspond to sample run 1 representing unpollinated pistil maintained at 28 degrees C, the non-stressed temperature treatment, and has SRA accession SRR30982324.
A good example gene to focus on during development can be found by using the Advanced Search tab and entering "F3H"
Info about this gene:
title: Solyc02g083860.3
id: Solyc02g083860.3.1
description: anthocyanin-reduced (are) flavanone 3-hydroxylase (F3H)
start: 45,124,818
end: 45,122,807
length: 2,011
Attachments
Issue Links
- relates to
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IGBF-4245 Modify IGB so that new filters can be added as Apps without making a new release of IGB
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- Closed
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Activity
| Field | Original Value | New Value |
|---|---|---|
| Epic Link | IGBF-1908 [ 17998 ] |
| Description |
Use case:
We have observed that many alignments from single cell RNA-Seq experiments look wrong. That is, the aligned sequences contain enormous gaps relative to the genomic sequence. These seemingly spurious alignments appear to support introns that are way too large and which are unlikely to be real. It would be helpful if a user (me :-) could apply a filter that would hide such apparently spurious alignments. I propose creating an all-new IGB App that would allow a user to hide any alignments with gaps (e.g., introns) that are longer than a user-entered value. Also, to save effort, let's choose a default length of 10,000 bases. See attached for an image showing examples of overly long gaps in a alignments track. |
Use case:
We have observed that many alignments from single cell RNA-Seq experiments look wrong. That is, the aligned sequences contain enormous gaps relative to the genomic sequence. These seemingly spurious alignments appear to support introns that are way too large and which are unlikely to be real. It would be helpful if a user (me :-)) could apply a filter that would hide such apparently spurious alignments. I propose creating an all-new IGB App that would allow a user to hide any alignments with gaps (e.g., introns) that are longer than a user-entered value. Also, to save effort, let's choose a default length of 10,000 bases. See attached for an image showing examples of overly long gaps in a alignments track. See this directory for example data: * http://igbquickload-main.bioviz.org/scRNASeq/RashaSingleCellRNASeq/run_1_S1/outs/ Note that the file named "possorted_genome_bam.bam" contains many alignments with extremely long gaps. The data are from an experiment done by Rasha from Mark Johnson's lab and the data are already submitted to the Sequence Read Archive under accession SRP538407. Also, the "run_1_S1" directory correspond to sample run 1 representing unpollinated pistil maintained at 28 degrees C, the non-stressed temperature treatment, and has SRA accession SRR30982324. |
| Description |
Use case:
We have observed that many alignments from single cell RNA-Seq experiments look wrong. That is, the aligned sequences contain enormous gaps relative to the genomic sequence. These seemingly spurious alignments appear to support introns that are way too large and which are unlikely to be real. It would be helpful if a user (me :-)) could apply a filter that would hide such apparently spurious alignments. I propose creating an all-new IGB App that would allow a user to hide any alignments with gaps (e.g., introns) that are longer than a user-entered value. Also, to save effort, let's choose a default length of 10,000 bases. See attached for an image showing examples of overly long gaps in a alignments track. See this directory for example data: * http://igbquickload-main.bioviz.org/scRNASeq/RashaSingleCellRNASeq/run_1_S1/outs/ Note that the file named "possorted_genome_bam.bam" contains many alignments with extremely long gaps. The data are from an experiment done by Rasha from Mark Johnson's lab and the data are already submitted to the Sequence Read Archive under accession SRP538407. Also, the "run_1_S1" directory correspond to sample run 1 representing unpollinated pistil maintained at 28 degrees C, the non-stressed temperature treatment, and has SRA accession SRR30982324. |
Use case:
We have observed that many alignments from single cell RNA-Seq experiments look wrong. That is, the aligned sequences contain enormous gaps relative to the genomic sequence. These seemingly spurious alignments appear to support introns that are way too large and which are unlikely to be real. It would be helpful if a user (me :-)) could apply a filter that would hide such apparently spurious alignments. I propose creating an all-new IGB App that would allow a user to hide any alignments with gaps (e.g., introns) that are longer than a user-entered value. Also, to save effort, let's choose a default length of 10,000 bases. See attached for an image showing examples of overly long gaps in a alignments track. See this directory for example data: * http://igbquickload-main.bioviz.org/scRNASeq/RashaSingleCellRNASeq/run_1_S1/outs/ Note that the file named "possorted_genome_bam.bam" contains many alignments with extremely long gaps. Also, please note that the reference genome assembly for this data file is from the tomato Sept 2019 assembly, also called "SL4". In IGB, this genome assembly versions' name is: "S_lycopersicum_Sep_2019." It is the second most recent genome version for tomato available from our Quickload sites. The data are from an experiment done by Rasha from Mark Johnson's lab and the data are already submitted to the Sequence Read Archive under accession SRP538407. Also, the "run_1_S1" directory correspond to sample run 1 representing unpollinated pistil maintained at 28 degrees C, the non-stressed temperature treatment, and has SRA accession SRR30982324. A good example gene to focus on during development can be found by using the Advanced Search tab and entering "F3H" |
| Description |
Use case:
We have observed that many alignments from single cell RNA-Seq experiments look wrong. That is, the aligned sequences contain enormous gaps relative to the genomic sequence. These seemingly spurious alignments appear to support introns that are way too large and which are unlikely to be real. It would be helpful if a user (me :-)) could apply a filter that would hide such apparently spurious alignments. I propose creating an all-new IGB App that would allow a user to hide any alignments with gaps (e.g., introns) that are longer than a user-entered value. Also, to save effort, let's choose a default length of 10,000 bases. See attached for an image showing examples of overly long gaps in a alignments track. See this directory for example data: * http://igbquickload-main.bioviz.org/scRNASeq/RashaSingleCellRNASeq/run_1_S1/outs/ Note that the file named "possorted_genome_bam.bam" contains many alignments with extremely long gaps. Also, please note that the reference genome assembly for this data file is from the tomato Sept 2019 assembly, also called "SL4". In IGB, this genome assembly versions' name is: "S_lycopersicum_Sep_2019." It is the second most recent genome version for tomato available from our Quickload sites. The data are from an experiment done by Rasha from Mark Johnson's lab and the data are already submitted to the Sequence Read Archive under accession SRP538407. Also, the "run_1_S1" directory correspond to sample run 1 representing unpollinated pistil maintained at 28 degrees C, the non-stressed temperature treatment, and has SRA accession SRR30982324. A good example gene to focus on during development can be found by using the Advanced Search tab and entering "F3H" |
Use case:
We have observed that many alignments from single cell RNA-Seq experiments look wrong. That is, the aligned sequences contain enormous gaps relative to the genomic sequence. These seemingly spurious alignments appear to support introns that are way too large and which are unlikely to be real. It would be helpful if a user (me :-)) could apply a filter that would hide such apparently spurious alignments. I propose creating an all-new IGB App that would allow a user to hide any alignments with gaps (e.g., introns) that are longer than a user-entered value. Also, to save effort, let's choose a default length of 10,000 bases. See attached for an image showing examples of overly long gaps in a alignments track. See this directory for example data: * http://igbquickload-main.bioviz.org/scRNASeq/RashaSingleCellRNASeq/run_1_S1/outs/ Note that the file named "possorted_genome_bam.bam" contains many alignments with extremely long gaps. Also, please note that the reference genome assembly for this data file is from the tomato Sept 2019 assembly, also called "SL4". In IGB, this genome assembly versions' name is: "S_lycopersicum_Sep_2019." It is the second most recent genome version for tomato available from our Quickload sites. The data are from an experiment done by Rasha from Mark Johnson's lab and the data are already submitted to the Sequence Read Archive under accession SRP538407. Also, the "run_1_S1" directory correspond to sample run 1 representing unpollinated pistil maintained at 28 degrees C, the non-stressed temperature treatment, and has SRA accession SRR30982324. A good example gene to focus on during development can be found by using the Advanced Search tab and entering "F3H" Info about this gene: {quote} title: Solyc02g083860.3 id: Solyc02g083860.3.1 description: anthocyanin-reduced (are) flavanone 3-hydroxylase (F3H) start: 45,124,818 end: 45,122,807 length: 2,011 {quote} |
| Attachment | ARE-SL4-BigRegion-BigGaps-1-annotated.png [ 18704 ] |
| Assignee | saideepthi jagarapu [ sjagarap ] |
| Link | This issue relates to IGBF-4214 [ IGBF-4214 ] |
| Status | To-Do [ 10305 ] | In Progress [ 3 ] |
| Status | In Progress [ 3 ] | Needs 1st Level Review [ 10005 ] |
| Assignee | saideepthi jagarapu [ sjagarap ] |
| Assignee | saideepthi jagarapu [ sjagarap ] |
| Assignee | saideepthi jagarapu [ sjagarap ] |
| Sprint | Summer 1 [ 218 ] | Summer 1, Summer 2 [ 218, 219 ] |
| Rank | Ranked higher |
| Status | Needs 1st Level Review [ 10005 ] | First Level Review in Progress [ 10301 ] |
| Status | First Level Review in Progress [ 10301 ] | To-Do [ 10305 ] |
| Assignee | saideepthi jagarapu [ sjagarap ] |
| Status | To-Do [ 10305 ] | In Progress [ 3 ] |
| Attachment | SL5-ARE-SRR30982326-max-intron-default-all-reads.png [ 18705 ] | |
| Attachment | SL5-ARE-SRR30982326-max-intron-default-all-reads-post-filter-monster-gaps.png [ 18706 ] |
| Attachment | Screenshot 2025-06-18 at 7.41.14 AM.png [ 18713 ] |
| Attachment | app description.png [ 18714 ] |
| Attachment | Screenshot 2025-06-18 at 7.41.14 AM.png [ 18713 ] |
| Sprint | Summer 1, Summer 2 [ 218, 219 ] | Summer 1, Summer 2, Summer 3 [ 218, 219, 220 ] |
| Rank | Ranked higher |
| Status | In Progress [ 3 ] | Needs 1st Level Review [ 10005 ] |
| Status | Needs 1st Level Review [ 10005 ] | First Level Review in Progress [ 10301 ] |
| Status | First Level Review in Progress [ 10301 ] | Ready for Pull Request [ 10304 ] |
| Status | Ready for Pull Request [ 10304 ] | Pull Request Submitted [ 10101 ] |
| Status | Pull Request Submitted [ 10101 ] | Reviewing Pull Request [ 10303 ] |
| Status | Reviewing Pull Request [ 10303 ] | Merged Needs Testing [ 10002 ] |
| Status | Merged Needs Testing [ 10002 ] | Post-merge Testing In Progress [ 10003 ] |
| Resolution | Done [ 10000 ] | |
| Status | Post-merge Testing In Progress [ 10003 ] | Closed [ 6 ] |
Tips on how to work with these alignments data: