Dataset: Atlantic silverside RNA-seq reads
Data Citation:
Therkildsen, N. O., Baumann, H. (2021) Sample and genetic accession information for RNA-seq data from whole Atlantic silverside (Menidia menidia) larvae from two populations and their F1 hybrids reared under different temperatures in 2017. Biological and Chemical Oceanography Data Management Office (BCO-DMO). (Version 1) Version Date 2021-06-29 [if applicable, indicate subset used]. http://lod.bco-dmo.org/id/dataset/854887 [access date]
Terms of Use
This dataset is licensed under Creative Commons Attribution 4.0.
If you wish to use this dataset, it is highly recommended that you contact the original principal investigators (PI). Should the relevant PI be unavailable, please contact BCO-DMO (info@bco-dmo.org) for additional guidance. For general guidance please see the BCO-DMO Terms of Use document.
Spatial Extent: N:40.75 E:-73 S:31.02 W:-81.43
Temporal Extent: 2017-04 - 2017-08
Principal Investigator:
Nina Overgaard Therkildsen (Cornell University, Cornell)
Co-Principal Investigator:
Hannes Baumann (University of Connecticut, UConn)
BCO-DMO Data Manager:
Amber D. York (Woods Hole Oceanographic Institution, WHOI BCO-DMO)
Version:
1
Version Date:
2021-06-29
Restricted:
No
Validated:
No
Current State:
Preliminary and in progress
Sample and genetic accession information for RNA-seq data from whole Atlantic silverside (Menidia menidia) larvae from two populations and their F1 hybrids reared under different temperatures in 2017
Abstract:
Sample and genetic accession information for RNA-seq data from whole Atlantic silverside (Menidia menidia) larvae from two populations and their F1 hybrids. Larvae were reared under two different temperatures to study temperature-dependent gene regulatory divergence between locally adapted Atlantic silverside populations in 2017.
The data are deposited in the National Center for Biotechnology Information (NCBI) Sequence Read Archive (SRA) with accession numbers SRR13523227- SRR13523268 associated with BioProject PRJNA694674 and BioSamples SAMN17531688 - SAMN17531729.