Comments (3)
Sorry, the second issue seems to be caused by the way I make my bams UCSC-like, so ignore it please.
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Hi @arutik!
Regards the first point, that would depend on which system you are working on (organism/tissue/cell type). Together with ChIP-seq, other assays such as bulk ATAC-seq or DNAse (of e.g. FACS sorted cell types of your population, see the 10X tutorials) can be useful.
Apart for searching in literature/GEO, there are some ChIP-seq/bulk ATAC/DNAse/H2K27ac/... databases that you could use, such as http://cistrome.org/db/#/ (for mouse and human only), https://chip-atlas.org or https://www.encodeproject.org.
Hope this is useful!
C
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Thank you so much!
Re issue 2 for other sufferers: make the regions file (pseudo bulk) UCSC-style and the rest of the functions will work.
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Related Issues (20)
- installation issue with ubuntu 20.04 HOT 3
- possibility to use BAM files from bulk ChIP HOT 1
- annotateRegions with own dataset HOT 1
- createcisTopicObject and genomic coordinates incompatibility error HOT 3
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- Installation issue HOT 2
- Tutorial Dataset files HOT 1
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- cisTopicObject <- selectModel(cisTopicObject) Error in .Call("rs_createGD") : C symbol name "rs_createGD" not in load table HOT 1
- Unused argument error while running topicsRcisTarget
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- Running Cistopic HOT 1
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- sha256sum download failed HOT 1
- Error in metadataFeather(path) : Invalid: Not a feather file HOT 3
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