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4dn:phase1:working_groups:omics_data_standards:minutes-10-24-2016

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4dn:phase1:working_groups:omics_data_standards:minutes-10-24-2016 [2019/02/15 09:09]
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4dn:phase1:working_groups:omics_data_standards:minutes-10-24-2016 [2025/04/22 16:21] (current)
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 Anisogenic biological replicate: same cell type from different individuals.\\ Isogenic biological replicate: same cell type from same individual, separate cultures.\\ Technical replicate: same culture, library prepared separately.\\ ENCODE dropped “biological replicates” and use “isogenic replicates” universally. (there are non-isogenic biological replicates, which may have worse reproducibility though) Anisogenic biological replicate: same cell type from different individuals.\\ Isogenic biological replicate: same cell type from same individual, separate cultures.\\ Technical replicate: same culture, library prepared separately.\\ ENCODE dropped “biological replicates” and use “isogenic replicates” universally. (there are non-isogenic biological replicates, which may have worse reproducibility though)
  
-  * +  * For HiC we will need two biological replicates (independently grown / engineered / manipulated). Both isogenic and non-isogenic replicates count toward biological replicates although isogenic ones are more desired. (no recommendations,​ see below)
- +
-For HiC we will need two biological replicates (independently grown / engineered / manipulated). Both isogenic and non-isogenic replicates count toward biological replicates although isogenic ones are more desired. (no recommendations,​ see below) +
       * Non-isogenic information is not incorporated in metadata yet. Needs to make it more explicit to data generating and submitting groups.       * Non-isogenic information is not incorporated in metadata yet. Needs to make it more explicit to data generating and submitting groups.
       * Would non-isogenic samples be actually more beneficial because of the variability?​ However, isogenic samples are still needed to see how large the non-isogenic part is in the differences. We probably don’t recommend isogenic or non-isogenic and leave that decision to data submitters.       * Would non-isogenic samples be actually more beneficial because of the variability?​ However, isogenic samples are still needed to see how large the non-isogenic part is in the differences. We probably don’t recommend isogenic or non-isogenic and leave that decision to data submitters.
-  * +  * There may be cases when only one clone is available so we may need to just recommend two biological replicates instead of requiring them 
- +  * Such recommendation / requirements may also need to coordinate with imaging groups to meet their imaging needs
-There may be cases when only one clone is available so we may need to just recommend two biological replicates instead of requiring them +
- +
-  * +
- +
-Such recommendation / requirements may also need to coordinate with imaging groups to meet their imaging needs+
  
 Sequencing Depth Sequencing Depth
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       * Some metrics still apply, such as number of PCR duplicates and unmappable reads       * Some metrics still apply, such as number of PCR duplicates and unmappable reads
       * Distributions of such parameters may be used after accepting data to establish a standard       * Distributions of such parameters may be used after accepting data to establish a standard
-  * +  * Better to phrase this as a recommendation as lots of groups still cannot reach 500M raw reads/​replicate?​
- +
-Better to phrase this as a recommendation as lots of groups still cannot reach 500M raw reads/​replicate?​ +
       * Groups may make an effort to meet such standard once it’s determined and it’s doable with current technology.       * Groups may make an effort to meet such standard once it’s determined and it’s doable with current technology.
       * If 500M is the typical number of reads per sample, the low bar needs to be less than that. (for example, 400M/​replicate)       * If 500M is the typical number of reads per sample, the low bar needs to be less than that. (for example, 400M/​replicate)
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       * Selection may be employed to select for datasets with enough reads for loop calling, etc.       * Selection may be employed to select for datasets with enough reads for loop calling, etc.
       * We can start by recommending 500M/​replicate x 2 replicates and having 400M/​replicate x 2 as a requirement and establishing a higher tier for loop-calling datasets.       * We can start by recommending 500M/​replicate x 2 replicates and having 400M/​replicate x 2 as a requirement and establishing a higher tier for loop-calling datasets.
-  * +  * May need to share this requirement / recommendation to other groups among 4DN Network for comments.
- +
-May need to share this requirement / recommendation to other groups among 4DN Network for comments.+
  
 </​WRAP>​~~TABLE_CELL_WRAP_STOP~~| </​WRAP>​~~TABLE_CELL_WRAP_STOP~~|
  
  
4dn/phase1/working_groups/omics_data_standards/minutes-10-24-2016.1550250558.txt.gz · Last modified: 2025/04/22 16:21 (external edit)