Hello,
We've recently generated spatially-resolved single-cell data of
post-mortem lung tissue of COVID-19 patients and other lung infections
(https://urldefense.proofpoint.com/v2/url?u=https-3A__www.medrxiv.org_conten… ).
Would there be interest in adding this dataset to the COVID-19 portal of
the HCA?
We already provide a h5ad file with the single-cell data
(https://urldefense.proofpoint.com/v2/url?u=https-3A__zenodo.org_record_4139… ), but
perhaps this could help researchers having a one-stop place for COVID-19
single cell data?
Of importance, our features do not represent gene expression but protein
abundance for 36 selected proteins, so this is in contrast to most other
datasets which I believe are scRNA-seq.
Best wishes,
Andre
--
*André Rendeiro, Ph.D.
*Postdoctoral Associate, Elemento Lab
Englander Institute for Precision Medicine
Institute for Computational Biomedicine
*Weill Cornell Medicine
*1305 York Ave., Y13.13
New York, NY (USA) 10021
afr4001(a)med.cornell.edu <mailto:afr4001@med.cornell.edu>
Good afternoon:
I am finding your Covid19 cell atlas very useful.
Can we publish snapshots of the data?
What is the best way to use it for publications?
I am happy to share our paper draft where I believe some of your data could be very complimentary.
If I could extract data for roc curves it would be amazing.
Thank you in advance
Fernando Martinez
Hi
Sorry to send to this address but I could not find out where to report problems. I wanted to download and use this file
https://urldefense.proofpoint.com/v2/url?u=https-3A__hosted-2Dmatrices-2Dpr…
Which is supposed to be an R data set, unfortunately it is not and is corrupted or otherwise not valid (could be they used a very old version of R, but no information is provided on your website).
It would be helpful to provide md5 checksums or other tools to help
validate downloads etc.
Robert
Hi!
I hope this email finds you well! I have a question about the normalized
expression for the datasets on covidatlas.
How are the data normalized? Are gene expression values comparable across
cell types?
Best wishes,
Sherif
--
Sherif Gerges
PhD Candidate
Harvard Medical School | Broad Institute of Harvard and M.I.T | Analytic &
Translational Genetics Unit, MGH
Institute for Applied Computational Science | Harvard John A. Paulson
School of Engineering and Applied Sciences
Hey,
I am very interested in this website and would like to be added to it.
Thank you,
Po-Yi
--
*Po-Yi Ho, Ph.D.*
ORISE Fellow
Molecular Epidemiology & Bioinformatics Team
Division of Viral Hepatitis, Centers for Disease Control and Prevention
(CDC)
1600 Clifton Rd NE, Building 18, Room 4-110, MS H18-4, Atlanta, GA 30329
Tel: 678-559-2413, Email: poyiho.ph(a)gmail.com
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Dear Sir/Madam,
I’m Kang Jin, a PhD student in Biomedical Informatics Department in Cincinnati Children’s Hospital Medical Center. It’s so exciting to see the Covid19 Cell Atlas (https://www.covid19cellatlas.org/) online held by your institute and HCA. Dr. Bruce Aronow and I are exploring immune cells in human lung and their relations with SARS-COV-2 invasion and inflammation.
The upper airway dataset from Vieira Braga et al (https://urldefense.proofpoint.com/v2/url?u=https-3A__pubmed.ncbi.nlm.nih.go… ) is an awesome dataset which is also available on Covid19 Cell Atlas. I can find the single cell data for 10X and Drop-seq in the paper. However, the single data of CD4+ T cells in the Fig.5 (smartSeq) were not available from either GEO or HCA portal. I’m not sure if it’s available in EGAS00001001755<https://urldefense.proofpoint.com/v2/url?u=https-3A__www.ebi.ac.uk_ega_stud… >. Could I ask if I can access the data in EGA? If so, what do I need to do to apply for the data? Thanks so much for your help!
Best regards,
Kang
Kang Jin | PhD student
Biomedical Informatics Graduate Program
Cincinnati Children’s | University of Cincinnati
3333 Burnet Avenue, Cincinnati, OH 45229
Hi there,
I am trying to process this data in R, and having some issues reading the h5ad file.
Can you please point me in the right direction?
Thanks
Best,
Kyren Lazarus
Janes Lab
L4L - UCL
Hello!
I've downloaded .h5ad file of nasal scRNA-seq published in Vieira Braga et
al (2019) and I really need count-level data for my downstream analysis.
However, I cannot find information on total number of reads mapped to each
cell (which I can find as "n_counts" for majority of other datasets), so I
cannot restore count matrix. Is there any way to get this data too? Thank
you very much, it will really help me to finalize my research.
Best regards,
Stepan Nersisyan,
Researcher, Faculty of Biology and Biotechnology, Higher School of
Economics, Moscow, Russia
Hi,
I am a lead PI from a group at UNC with Human V3 10x scRNAseq from the oral cavity, specifically from the hard palate/gingiva from 4 healthy human volunteers (2M/2F). It is unfortunate that there are no oral samples available for this Atlas, and I am interested in contributing this unpublished data to the COVID19 Cell Atlas. This work was funded through the industry, so it would not necessarily need to publish if incorporated. Happy to have a zoom call or continue this conversation over email.
Best,
Kevin M. Byrd, DDS, PhD
The University of North Carolina at Chapel Hill
Office: 3606 Koury Oral Health Sciences; CB #7455
Research Instructor, Oral & Craniofacial Health Sciences
Resident, Graduate Training Program in Periodontology
Chapel Hill, NC 27599-7525
Cell Phone: 260-249-4724