Published October 20, 2022 | Version v1
Dataset Open

Single-cell NTT-seq datasets

Authors/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
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)