Biological problem addressed 'Annotation'

Parents Model Analysis Type
Current Biological problem addressed Annotation - this is a new suggested term that specialises Model Analysis Type
Children No child terms

Related assays

6 Assays visible to you, out of a total of 8

Assay: _A_02.3_InterProScan Short Name: 02.3_InterProScan Assay Class: DRY Assay Type: InterProScan Title: InterProScan on tr2aacds output Description: InterProScan on tr2aacds output pISA Assay creation date: 2019-10-22 pISA Assay creator: Marko Petek Phenodata: None Featuredata: None Data: see ./input/path_to_files.txt

Assay: _A_02.5_STARlong_matchAnnot Short Name: 02.5_STARlong_matchAnnot Assay Class: DRY Assay Type: matchAnnot Title: potato transcriptome v2 (evigene) STARlong mapping of transcripts to reference genome and MatchAnnot to get transcript annotations Description: potato initial transcriptome (evigene) STARlong mapping of transcripts to reference genome and MatchAnnot to get transcript annotations pISA Assay creation date: 2019-10-22 pISA Assay creator: Marko Petek Phenodata: None Featuredata: None ...

Assay: _A_02.8_DIAMOND Short Name: 02.8_DIAMOND Assay Class: DRY Assay Type: DIAMOND Title: DIAMOND on raw tr2aacds output Description: DIAMOND on raw tr2aacds output, both .cds and .tr; including lost and found pISA Assay creation date: 2019-10-22 pISA Assay creator: Maja Zagorscak Phenodata: None Featuredata: None Data: see ./input/path_to_files.txt

Submitter: Maja Zagorscak

Biological problem addressed: Annotation

Investigation: _I_STRT

Study: _S_03_stCuSTr

Assay: _A_03.2_components Short Name: 03.2_components Assay Class: DRY Assay Type: components Title: Components: tr2aacds headers, cdhit-2d Description: Components: tr2aacds headers, cdhit-2d; post-filtering redefinition of paralogue clusters pISA Assay creation date: 2019-10-22 pISA Assay creator: Ziva Ramsak Phenodata: None Featuredata: Data:

Submitter: Maja Zagorscak

Biological problem addressed: Annotation

Investigation: _I_STRT

Study: _S_03_stCuSTr

Application of the LoRAS oversampling approach on single-cell/single-nuclei data to annotate/identify specific cell populations in new data based on previously, manually curated data.

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