Identifier Results
| Field | Value |
|---|---|
| Identifier | nemo:dat-gzjciiu |
| Dataset Name | Developmental isoform diversity in the human neocortex informs neuropsychiatric risk mechanisms: Analysis |
| Version | NA |
| Release Date | NA |
| DOI | NA |
| Source Data URL | This is a restricted access dataset. Instructions for requesting access are available at https://nemoarchive.org/resources/accessing-controlled-access-data.php |
| Dataset Collection URL | https://data.nemoarchive.org/publication_release/Patowary_delaTorre_scisorseq_2024/Analysis_bag_1_Patowary_delaTorre_scisorseq_2024_Analysis.tgz |
| Description | Processed human data from ScISOrSeq generated by the Gandal lab associated with the following publication: Patowary et al. Developmental isoform diversity in the human neocortex informs neuropsychiatric risk mechanisms. bioRxiv 2023.03.25.534016;doi.org/10.1101/2023.03.25.534016 |
| Keywords | neocortex, long read sequencing, single cell, isoform switching; RNA binding protein |
| Total Files in Collection | 7 |
| Total Size in Collection (in GB) | 95.6 |
| Authors | Ashok Patowary, Pan Zhang, Connor Jops, Celine K. Vuong, Xinzhu Ge, Kangcheng Hou, Minsoo Kim, Naihua Gong, Michael Margolis, Daniel Vo, Xusheng Wang, Chunyu Liu, Bogdan Pasaniuc, Jingyi Jessica Li, Michael J. Gandal, Luis de la Torre-Ubieta |
| Organization | University of California, Los Angeles, CA |
| Contact Person | Ashok Patowary; Michael J. Gandal; Luis de la Torre-Ubieta |
| Contact E-Mail | ashokpatowary@g.ucla.edu; ldelatorreubieta@mednet.ucla.edu; michael.gandal@pennmedicine.upenn.edu |
| External Identifier | Patowary_delaTorre_scisorseq_2024_Analysis |
| Grant Name | NA |
| Consortium | BICCN |
| Data Repository | NeMO |
| Data Repository RRID | RRID:SCR_016152 |
| Data License | NA |
| Data Access | NA |
| Community Standards | NA |
| Study Organism | human |
| Protocol ID | NA |
| Parent Identifier | nemo:dat-rhocguc |
This identifier does not have sub-identifiers with "raw" data associated
This identifier does not have sub-identifiers with "analysis" data associated