Published October 20, 2022
| Version v1
Dataset
Open
Single-cell NTT-seq datasets
Creators
- 1. New York Genome Center
- 2. Weill Cornell Medicine
Description
These datasets were generated using single-cell NTT-seq. Please see the publication for a full description of methods:
Stuart, Tim, Stephanie Hao, Bingjie Zhang, Levan Mekerishvili, Dan Landau, Silas Maniatis, Rahul Satija, and Ivan Raimondi. 2022. “Nanobody-Tethered Transposition Allows for Multifactorial Chromatin Profiling at Single-Cell Resolution.” bioRxiv. doi:10.1101/2022.03.08.483436.
Associated fragment files can be found on NCBI GEO: GSE212588
Notes
Note that the saved objects link to fragment files stored remotely on AWS servers. This enables running analyses without needing to download the entire fragment file and link it to the object locally. However, for users running more extensive analyses (re-quantifying genomic regions, for example) we recommend downloading the fragment files to your local computer and linking them to the object. For example:
```
Fragments(obj) <- NULL # remove fragment file information
Fragments(obj) <- CreateFragmentObject(path = , cells = colnames(obj)) # add a new fragment object
```
Files
Files
(1.0 GB)
| Name | Size | Download all |
|---|---|---|
|
md5:efebafd57d7721ca06d823f18a2692c6
|
291.8 MB | Download |
|
md5:f99b9ee422e04953436441da1b3946df
|
323.1 MB | Download |
|
md5:5d5c0459cd5dd68f847703461d9b43bf
|
428.7 MB | Download |
Additional details
Related works
- Is described by
- Preprint: 10.1101/2022.03.08.483436 (DOI)