A wealth of novel cell-specific expressed SNVs from tumor and normal scRNA-seq datasets Article Swipe
Christian Dillard
,
Evgenia Ulianova
,
N. M. Prashant
,
Hongyu Liu
,
Nathan Edwards
,
Anélia Horvath
·
YOU?
·
· 2022
· Open Access
·
· DOI: https://doi.org/10.1101/2022.06.12.495797
YOU?
·
· 2022
· Open Access
·
· DOI: https://doi.org/10.1101/2022.06.12.495797
We demonstrate a novel variant calling strategy using barcode-stratified alignments on 25 tumor and normal 10XGenomics scRNA-seq datasets (>200,000 cells). Our approach identified 24,528 exonic non-dbSNP single cell expressed (sce)SNVs, a third of which are shared across multiple samples. The novel sceSNVs include unreported somatic and germline variants, as well as RNA-originating variants; some are expressed in up to 17% of the cells, and many are found in known cancer genes. Our findings suggest that there is an unacknowledged repertoire of expressed genetic variants, possibly recurrent and common across samples, in the normal and cancer transcriptome.
Related Topics
Concepts
dbSNP
Transcriptome
Germline
Biology
Somatic cell
Computational biology
Gene
Genetics
RNA-Seq
Single-nucleotide polymorphism
Gene expression
Genotype
Metadata
- Type
- preprint
- Language
- en
- Landing Page
- https://doi.org/10.1101/2022.06.12.495797
- https://www.biorxiv.org/content/biorxiv/early/2022/06/15/2022.06.12.495797.full.pdf
- OA Status
- green
- References
- 21
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4282966478
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
-
https://openalex.org/W4282966478Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.1101/2022.06.12.495797Digital Object Identifier
- Title
-
A wealth of novel cell-specific expressed SNVs from tumor and normal scRNA-seq datasetsWork title
- Type
-
preprintOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2022Year of publication
- Publication date
-
2022-06-15Full publication date if available
- Authors
-
Christian Dillard, Evgenia Ulianova, N. M. Prashant, Hongyu Liu, Nathan Edwards, Anélia HorvathList of authors in order
- Landing page
-
https://doi.org/10.1101/2022.06.12.495797Publisher landing page
- PDF URL
-
https://www.biorxiv.org/content/biorxiv/early/2022/06/15/2022.06.12.495797.full.pdfDirect link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
greenOpen access status per OpenAlex
- OA URL
-
https://www.biorxiv.org/content/biorxiv/early/2022/06/15/2022.06.12.495797.full.pdfDirect OA link when available
- Concepts
-
dbSNP, Transcriptome, Germline, Biology, Somatic cell, Computational biology, Gene, Genetics, RNA-Seq, Single-nucleotide polymorphism, Gene expression, GenotypeTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
0Total citation count in OpenAlex
- References (count)
-
21Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
Full payload
| id | https://openalex.org/W4282966478 |
|---|---|
| doi | https://doi.org/10.1101/2022.06.12.495797 |
| ids.doi | https://doi.org/10.1101/2022.06.12.495797 |
| ids.openalex | https://openalex.org/W4282966478 |
| fwci | |
| type | preprint |
| title | A wealth of novel cell-specific expressed SNVs from tumor and normal scRNA-seq datasets |
| biblio.issue | |
| biblio.volume | |
| biblio.last_page | |
| biblio.first_page | |
| topics[0].id | https://openalex.org/T11289 |
| topics[0].field.id | https://openalex.org/fields/13 |
| topics[0].field.display_name | Biochemistry, Genetics and Molecular Biology |
| topics[0].score | 0.9995999932289124 |
| topics[0].domain.id | https://openalex.org/domains/1 |
| topics[0].domain.display_name | Life Sciences |
| topics[0].subfield.id | https://openalex.org/subfields/1312 |
| topics[0].subfield.display_name | Molecular Biology |
| topics[0].display_name | Single-cell and spatial transcriptomics |
| topics[1].id | https://openalex.org/T10773 |
| topics[1].field.id | https://openalex.org/fields/13 |
| topics[1].field.display_name | Biochemistry, Genetics and Molecular Biology |
| topics[1].score | 0.9994000196456909 |
| topics[1].domain.id | https://openalex.org/domains/1 |
| topics[1].domain.display_name | Life Sciences |
| topics[1].subfield.id | https://openalex.org/subfields/1312 |
| topics[1].subfield.display_name | Molecular Biology |
| topics[1].display_name | Extracellular vesicles in disease |
| topics[2].id | https://openalex.org/T11287 |
| topics[2].field.id | https://openalex.org/fields/13 |
| topics[2].field.display_name | Biochemistry, Genetics and Molecular Biology |
| topics[2].score | 0.9984999895095825 |
| topics[2].domain.id | https://openalex.org/domains/1 |
| topics[2].domain.display_name | Life Sciences |
| topics[2].subfield.id | https://openalex.org/subfields/1306 |
| topics[2].subfield.display_name | Cancer Research |
| topics[2].display_name | Cancer Genomics and Diagnostics |
| is_xpac | False |
| apc_list | |
| apc_paid | |
| concepts[0].id | https://openalex.org/C35794970 |
| concepts[0].level | 5 |
| concepts[0].score | 0.6919782757759094 |
| concepts[0].wikidata | https://www.wikidata.org/wiki/Q5243761 |
| concepts[0].display_name | dbSNP |
| concepts[1].id | https://openalex.org/C162317418 |
| concepts[1].level | 4 |
| concepts[1].score | 0.6872166395187378 |
| concepts[1].wikidata | https://www.wikidata.org/wiki/Q252857 |
| concepts[1].display_name | Transcriptome |
| concepts[2].id | https://openalex.org/C109825262 |
| concepts[2].level | 3 |
| concepts[2].score | 0.6677156090736389 |
| concepts[2].wikidata | https://www.wikidata.org/wiki/Q1139164 |
| concepts[2].display_name | Germline |
| concepts[3].id | https://openalex.org/C86803240 |
| concepts[3].level | 0 |
| concepts[3].score | 0.6377617120742798 |
| concepts[3].wikidata | https://www.wikidata.org/wiki/Q420 |
| concepts[3].display_name | Biology |
| concepts[4].id | https://openalex.org/C134305767 |
| concepts[4].level | 3 |
| concepts[4].score | 0.5549328923225403 |
| concepts[4].wikidata | https://www.wikidata.org/wiki/Q725508 |
| concepts[4].display_name | Somatic cell |
| concepts[5].id | https://openalex.org/C70721500 |
| concepts[5].level | 1 |
| concepts[5].score | 0.5418757200241089 |
| concepts[5].wikidata | https://www.wikidata.org/wiki/Q177005 |
| concepts[5].display_name | Computational biology |
| concepts[6].id | https://openalex.org/C104317684 |
| concepts[6].level | 2 |
| concepts[6].score | 0.5381940007209778 |
| concepts[6].wikidata | https://www.wikidata.org/wiki/Q7187 |
| concepts[6].display_name | Gene |
| concepts[7].id | https://openalex.org/C54355233 |
| concepts[7].level | 1 |
| concepts[7].score | 0.464703232049942 |
| concepts[7].wikidata | https://www.wikidata.org/wiki/Q7162 |
| concepts[7].display_name | Genetics |
| concepts[8].id | https://openalex.org/C107397762 |
| concepts[8].level | 5 |
| concepts[8].score | 0.447849839925766 |
| concepts[8].wikidata | https://www.wikidata.org/wiki/Q2542347 |
| concepts[8].display_name | RNA-Seq |
| concepts[9].id | https://openalex.org/C153209595 |
| concepts[9].level | 4 |
| concepts[9].score | 0.17985936999320984 |
| concepts[9].wikidata | https://www.wikidata.org/wiki/Q501128 |
| concepts[9].display_name | Single-nucleotide polymorphism |
| concepts[10].id | https://openalex.org/C150194340 |
| concepts[10].level | 3 |
| concepts[10].score | 0.1658456027507782 |
| concepts[10].wikidata | https://www.wikidata.org/wiki/Q26972 |
| concepts[10].display_name | Gene expression |
| concepts[11].id | https://openalex.org/C135763542 |
| concepts[11].level | 3 |
| concepts[11].score | 0.1589953899383545 |
| concepts[11].wikidata | https://www.wikidata.org/wiki/Q106016 |
| concepts[11].display_name | Genotype |
| keywords[0].id | https://openalex.org/keywords/dbsnp |
| keywords[0].score | 0.6919782757759094 |
| keywords[0].display_name | dbSNP |
| keywords[1].id | https://openalex.org/keywords/transcriptome |
| keywords[1].score | 0.6872166395187378 |
| keywords[1].display_name | Transcriptome |
| keywords[2].id | https://openalex.org/keywords/germline |
| keywords[2].score | 0.6677156090736389 |
| keywords[2].display_name | Germline |
| keywords[3].id | https://openalex.org/keywords/biology |
| keywords[3].score | 0.6377617120742798 |
| keywords[3].display_name | Biology |
| keywords[4].id | https://openalex.org/keywords/somatic-cell |
| keywords[4].score | 0.5549328923225403 |
| keywords[4].display_name | Somatic cell |
| keywords[5].id | https://openalex.org/keywords/computational-biology |
| keywords[5].score | 0.5418757200241089 |
| keywords[5].display_name | Computational biology |
| keywords[6].id | https://openalex.org/keywords/gene |
| keywords[6].score | 0.5381940007209778 |
| keywords[6].display_name | Gene |
| keywords[7].id | https://openalex.org/keywords/genetics |
| keywords[7].score | 0.464703232049942 |
| keywords[7].display_name | Genetics |
| keywords[8].id | https://openalex.org/keywords/rna-seq |
| keywords[8].score | 0.447849839925766 |
| keywords[8].display_name | RNA-Seq |
| keywords[9].id | https://openalex.org/keywords/single-nucleotide-polymorphism |
| keywords[9].score | 0.17985936999320984 |
| keywords[9].display_name | Single-nucleotide polymorphism |
| keywords[10].id | https://openalex.org/keywords/gene-expression |
| keywords[10].score | 0.1658456027507782 |
| keywords[10].display_name | Gene expression |
| keywords[11].id | https://openalex.org/keywords/genotype |
| keywords[11].score | 0.1589953899383545 |
| keywords[11].display_name | Genotype |
| language | en |
| locations[0].id | doi:10.1101/2022.06.12.495797 |
| locations[0].is_oa | True |
| locations[0].source.id | https://openalex.org/S4306402567 |
| locations[0].source.issn | |
| locations[0].source.type | repository |
| locations[0].source.is_oa | False |
| locations[0].source.issn_l | |
| locations[0].source.is_core | False |
| locations[0].source.is_in_doaj | False |
| locations[0].source.display_name | bioRxiv (Cold Spring Harbor Laboratory) |
| locations[0].source.host_organization | https://openalex.org/I2750212522 |
| locations[0].source.host_organization_name | Cold Spring Harbor Laboratory |
| locations[0].source.host_organization_lineage | https://openalex.org/I2750212522 |
| locations[0].license | cc-by |
| locations[0].pdf_url | https://www.biorxiv.org/content/biorxiv/early/2022/06/15/2022.06.12.495797.full.pdf |
| locations[0].version | acceptedVersion |
| locations[0].raw_type | posted-content |
| locations[0].license_id | https://openalex.org/licenses/cc-by |
| locations[0].is_accepted | True |
| locations[0].is_published | False |
| locations[0].raw_source_name | |
| locations[0].landing_page_url | https://doi.org/10.1101/2022.06.12.495797 |
| indexed_in | crossref |
| authorships[0].author.id | https://openalex.org/A5072910957 |
| authorships[0].author.orcid | https://orcid.org/0000-0001-5740-7328 |
| authorships[0].author.display_name | Christian Dillard |
| authorships[0].countries | US |
| authorships[0].affiliations[0].institution_ids | https://openalex.org/I193531525, https://openalex.org/I4210104270 |
| authorships[0].affiliations[0].raw_affiliation_string | McCormick Genomics and Proteomics Center, School of Medicine and Health Sciences, The George Washington University, Washington, DC, 20037, USA |
| authorships[0].institutions[0].id | https://openalex.org/I193531525 |
| authorships[0].institutions[0].ror | https://ror.org/00y4zzh67 |
| authorships[0].institutions[0].type | education |
| authorships[0].institutions[0].lineage | https://openalex.org/I193531525 |
| authorships[0].institutions[0].country_code | US |
| authorships[0].institutions[0].display_name | George Washington University |
| authorships[0].institutions[1].id | https://openalex.org/I4210104270 |
| authorships[0].institutions[1].ror | https://ror.org/01ftbgh03 |
| authorships[0].institutions[1].type | company |
| authorships[0].institutions[1].lineage | https://openalex.org/I4210104270 |
| authorships[0].institutions[1].country_code | US |
| authorships[0].institutions[1].display_name | McCormick (United States) |
| authorships[0].author_position | first |
| authorships[0].raw_author_name | Christian Dillard |
| authorships[0].is_corresponding | False |
| authorships[0].raw_affiliation_strings | McCormick Genomics and Proteomics Center, School of Medicine and Health Sciences, The George Washington University, Washington, DC, 20037, USA |
| authorships[1].author.id | https://openalex.org/A5054320188 |
| authorships[1].author.orcid | https://orcid.org/0000-0002-4541-2848 |
| authorships[1].author.display_name | Evgenia Ulianova |
| authorships[1].countries | US |
| authorships[1].affiliations[0].institution_ids | https://openalex.org/I193531525, https://openalex.org/I4210104270 |
| authorships[1].affiliations[0].raw_affiliation_string | McCormick Genomics and Proteomics Center, School of Medicine and Health Sciences, The George Washington University, Washington, DC, 20037, USA |
| authorships[1].institutions[0].id | https://openalex.org/I193531525 |
| authorships[1].institutions[0].ror | https://ror.org/00y4zzh67 |
| authorships[1].institutions[0].type | education |
| authorships[1].institutions[0].lineage | https://openalex.org/I193531525 |
| authorships[1].institutions[0].country_code | US |
| authorships[1].institutions[0].display_name | George Washington University |
| authorships[1].institutions[1].id | https://openalex.org/I4210104270 |
| authorships[1].institutions[1].ror | https://ror.org/01ftbgh03 |
| authorships[1].institutions[1].type | company |
| authorships[1].institutions[1].lineage | https://openalex.org/I4210104270 |
| authorships[1].institutions[1].country_code | US |
| authorships[1].institutions[1].display_name | McCormick (United States) |
| authorships[1].author_position | middle |
| authorships[1].raw_author_name | Evgenia Ulianova |
| authorships[1].is_corresponding | False |
| authorships[1].raw_affiliation_strings | McCormick Genomics and Proteomics Center, School of Medicine and Health Sciences, The George Washington University, Washington, DC, 20037, USA |
| authorships[2].author.id | https://openalex.org/A5004796189 |
| authorships[2].author.orcid | https://orcid.org/0000-0003-3548-5637 |
| authorships[2].author.display_name | N. M. Prashant |
| authorships[2].countries | US |
| authorships[2].affiliations[0].institution_ids | https://openalex.org/I193531525, https://openalex.org/I4210104270 |
| authorships[2].affiliations[0].raw_affiliation_string | McCormick Genomics and Proteomics Center, School of Medicine and Health Sciences, The George Washington University, Washington, DC, 20037, USA |
| authorships[2].affiliations[1].institution_ids | https://openalex.org/I98704320 |
| authorships[2].affiliations[1].raw_affiliation_string | Departments of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY 1009, USA |
| authorships[2].institutions[0].id | https://openalex.org/I193531525 |
| authorships[2].institutions[0].ror | https://ror.org/00y4zzh67 |
| authorships[2].institutions[0].type | education |
| authorships[2].institutions[0].lineage | https://openalex.org/I193531525 |
| authorships[2].institutions[0].country_code | US |
| authorships[2].institutions[0].display_name | George Washington University |
| authorships[2].institutions[1].id | https://openalex.org/I98704320 |
| authorships[2].institutions[1].ror | https://ror.org/04a9tmd77 |
| authorships[2].institutions[1].type | education |
| authorships[2].institutions[1].lineage | https://openalex.org/I1320796813, https://openalex.org/I98704320 |
| authorships[2].institutions[1].country_code | US |
| authorships[2].institutions[1].display_name | Icahn School of Medicine at Mount Sinai |
| authorships[2].institutions[2].id | https://openalex.org/I4210104270 |
| authorships[2].institutions[2].ror | https://ror.org/01ftbgh03 |
| authorships[2].institutions[2].type | company |
| authorships[2].institutions[2].lineage | https://openalex.org/I4210104270 |
| authorships[2].institutions[2].country_code | US |
| authorships[2].institutions[2].display_name | McCormick (United States) |
| authorships[2].author_position | middle |
| authorships[2].raw_author_name | NM Prashant |
| authorships[2].is_corresponding | False |
| authorships[2].raw_affiliation_strings | Departments of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY 1009, USA, McCormick Genomics and Proteomics Center, School of Medicine and Health Sciences, The George Washington University, Washington, DC, 20037, USA |
| authorships[3].author.id | https://openalex.org/A5100773329 |
| authorships[3].author.orcid | https://orcid.org/0000-0002-8111-3941 |
| authorships[3].author.display_name | Hongyu Liu |
| authorships[3].countries | US |
| authorships[3].affiliations[0].institution_ids | https://openalex.org/I76835614 |
| authorships[3].affiliations[0].raw_affiliation_string | Division of Animal Sciences, University of Missouri, Columbia, MO, 65211, USA |
| authorships[3].affiliations[1].institution_ids | https://openalex.org/I193531525, https://openalex.org/I4210104270 |
| authorships[3].affiliations[1].raw_affiliation_string | McCormick Genomics and Proteomics Center, School of Medicine and Health Sciences, The George Washington University, Washington, DC, 20037, USA |
| authorships[3].institutions[0].id | https://openalex.org/I193531525 |
| authorships[3].institutions[0].ror | https://ror.org/00y4zzh67 |
| authorships[3].institutions[0].type | education |
| authorships[3].institutions[0].lineage | https://openalex.org/I193531525 |
| authorships[3].institutions[0].country_code | US |
| authorships[3].institutions[0].display_name | George Washington University |
| authorships[3].institutions[1].id | https://openalex.org/I4210104270 |
| authorships[3].institutions[1].ror | https://ror.org/01ftbgh03 |
| authorships[3].institutions[1].type | company |
| authorships[3].institutions[1].lineage | https://openalex.org/I4210104270 |
| authorships[3].institutions[1].country_code | US |
| authorships[3].institutions[1].display_name | McCormick (United States) |
| authorships[3].institutions[2].id | https://openalex.org/I76835614 |
| authorships[3].institutions[2].ror | https://ror.org/02ymw8z06 |
| authorships[3].institutions[2].type | education |
| authorships[3].institutions[2].lineage | https://openalex.org/I76835614 |
| authorships[3].institutions[2].country_code | US |
| authorships[3].institutions[2].display_name | University of Missouri |
| authorships[3].author_position | middle |
| authorships[3].raw_author_name | Hongyu Liu |
| authorships[3].is_corresponding | False |
| authorships[3].raw_affiliation_strings | Division of Animal Sciences, University of Missouri, Columbia, MO, 65211, USA, McCormick Genomics and Proteomics Center, School of Medicine and Health Sciences, The George Washington University, Washington, DC, 20037, USA |
| authorships[4].author.id | https://openalex.org/A5072196170 |
| authorships[4].author.orcid | https://orcid.org/0000-0001-5168-3196 |
| authorships[4].author.display_name | Nathan Edwards |
| authorships[4].countries | US |
| authorships[4].affiliations[0].institution_ids | https://openalex.org/I193531525 |
| authorships[4].affiliations[0].raw_affiliation_string | Department of Biochemistry and Molecular Medicine, School of Medicine and Health Sciences, The George Washington University, Washington, DC, 20037, USA |
| authorships[4].institutions[0].id | https://openalex.org/I193531525 |
| authorships[4].institutions[0].ror | https://ror.org/00y4zzh67 |
| authorships[4].institutions[0].type | education |
| authorships[4].institutions[0].lineage | https://openalex.org/I193531525 |
| authorships[4].institutions[0].country_code | US |
| authorships[4].institutions[0].display_name | George Washington University |
| authorships[4].author_position | middle |
| authorships[4].raw_author_name | Nathan Edwards |
| authorships[4].is_corresponding | False |
| authorships[4].raw_affiliation_strings | Department of Biochemistry and Molecular Medicine, School of Medicine and Health Sciences, The George Washington University, Washington, DC, 20037, USA |
| authorships[5].author.id | https://openalex.org/A5030754052 |
| authorships[5].author.orcid | https://orcid.org/0000-0003-4117-013X |
| authorships[5].author.display_name | Anélia Horvath |
| authorships[5].countries | US |
| authorships[5].affiliations[0].institution_ids | https://openalex.org/I193531525, https://openalex.org/I4210104270 |
| authorships[5].affiliations[0].raw_affiliation_string | McCormick Genomics and Proteomics Center, School of Medicine and Health Sciences, The George Washington University, Washington, DC, 20037, USA |
| authorships[5].institutions[0].id | https://openalex.org/I193531525 |
| authorships[5].institutions[0].ror | https://ror.org/00y4zzh67 |
| authorships[5].institutions[0].type | education |
| authorships[5].institutions[0].lineage | https://openalex.org/I193531525 |
| authorships[5].institutions[0].country_code | US |
| authorships[5].institutions[0].display_name | George Washington University |
| authorships[5].institutions[1].id | https://openalex.org/I4210104270 |
| authorships[5].institutions[1].ror | https://ror.org/01ftbgh03 |
| authorships[5].institutions[1].type | company |
| authorships[5].institutions[1].lineage | https://openalex.org/I4210104270 |
| authorships[5].institutions[1].country_code | US |
| authorships[5].institutions[1].display_name | McCormick (United States) |
| authorships[5].author_position | last |
| authorships[5].raw_author_name | Anelia Horvath |
| authorships[5].is_corresponding | True |
| authorships[5].raw_affiliation_strings | McCormick Genomics and Proteomics Center, School of Medicine and Health Sciences, The George Washington University, Washington, DC, 20037, USA |
| has_content.pdf | True |
| has_content.grobid_xml | True |
| is_paratext | False |
| open_access.is_oa | True |
| open_access.oa_url | https://www.biorxiv.org/content/biorxiv/early/2022/06/15/2022.06.12.495797.full.pdf |
| open_access.oa_status | green |
| open_access.any_repository_has_fulltext | False |
| created_date | 2025-10-10T00:00:00 |
| display_name | A wealth of novel cell-specific expressed SNVs from tumor and normal scRNA-seq datasets |
| has_fulltext | True |
| is_retracted | False |
| updated_date | 2025-11-06T03:46:38.306776 |
| primary_topic.id | https://openalex.org/T11289 |
| primary_topic.field.id | https://openalex.org/fields/13 |
| primary_topic.field.display_name | Biochemistry, Genetics and Molecular Biology |
| primary_topic.score | 0.9995999932289124 |
| primary_topic.domain.id | https://openalex.org/domains/1 |
| primary_topic.domain.display_name | Life Sciences |
| primary_topic.subfield.id | https://openalex.org/subfields/1312 |
| primary_topic.subfield.display_name | Molecular Biology |
| primary_topic.display_name | Single-cell and spatial transcriptomics |
| related_works | https://openalex.org/W2606201227, https://openalex.org/W2000783020, https://openalex.org/W2086399984, https://openalex.org/W1491598325, https://openalex.org/W3026290368, https://openalex.org/W2093846964, https://openalex.org/W2310082378, https://openalex.org/W4238761868, https://openalex.org/W1516735761, https://openalex.org/W3134821389 |
| cited_by_count | 0 |
| locations_count | 1 |
| best_oa_location.id | doi:10.1101/2022.06.12.495797 |
| best_oa_location.is_oa | True |
| best_oa_location.source.id | https://openalex.org/S4306402567 |
| best_oa_location.source.issn | |
| best_oa_location.source.type | repository |
| best_oa_location.source.is_oa | False |
| best_oa_location.source.issn_l | |
| best_oa_location.source.is_core | False |
| best_oa_location.source.is_in_doaj | False |
| best_oa_location.source.display_name | bioRxiv (Cold Spring Harbor Laboratory) |
| best_oa_location.source.host_organization | https://openalex.org/I2750212522 |
| best_oa_location.source.host_organization_name | Cold Spring Harbor Laboratory |
| best_oa_location.source.host_organization_lineage | https://openalex.org/I2750212522 |
| best_oa_location.license | cc-by |
| best_oa_location.pdf_url | https://www.biorxiv.org/content/biorxiv/early/2022/06/15/2022.06.12.495797.full.pdf |
| best_oa_location.version | acceptedVersion |
| best_oa_location.raw_type | posted-content |
| best_oa_location.license_id | https://openalex.org/licenses/cc-by |
| best_oa_location.is_accepted | True |
| best_oa_location.is_published | False |
| best_oa_location.raw_source_name | |
| best_oa_location.landing_page_url | https://doi.org/10.1101/2022.06.12.495797 |
| primary_location.id | doi:10.1101/2022.06.12.495797 |
| primary_location.is_oa | True |
| primary_location.source.id | https://openalex.org/S4306402567 |
| primary_location.source.issn | |
| primary_location.source.type | repository |
| primary_location.source.is_oa | False |
| primary_location.source.issn_l | |
| primary_location.source.is_core | False |
| primary_location.source.is_in_doaj | False |
| primary_location.source.display_name | bioRxiv (Cold Spring Harbor Laboratory) |
| primary_location.source.host_organization | https://openalex.org/I2750212522 |
| primary_location.source.host_organization_name | Cold Spring Harbor Laboratory |
| primary_location.source.host_organization_lineage | https://openalex.org/I2750212522 |
| primary_location.license | cc-by |
| primary_location.pdf_url | https://www.biorxiv.org/content/biorxiv/early/2022/06/15/2022.06.12.495797.full.pdf |
| primary_location.version | acceptedVersion |
| primary_location.raw_type | posted-content |
| primary_location.license_id | https://openalex.org/licenses/cc-by |
| primary_location.is_accepted | True |
| primary_location.is_published | False |
| primary_location.raw_source_name | |
| primary_location.landing_page_url | https://doi.org/10.1101/2022.06.12.495797 |
| publication_date | 2022-06-15 |
| publication_year | 2022 |
| referenced_works | https://openalex.org/W3104388341, https://openalex.org/W2594283259, https://openalex.org/W3013900499, https://openalex.org/W4255686332, https://openalex.org/W4210643354, https://openalex.org/W3091821224, https://openalex.org/W3033473768, https://openalex.org/W3086206613, https://openalex.org/W3159756629, https://openalex.org/W1919257374, https://openalex.org/W2867868648, https://openalex.org/W6755447157, https://openalex.org/W3201359888, https://openalex.org/W2921683137, https://openalex.org/W2907514116, https://openalex.org/W3170101388, https://openalex.org/W2765185461, https://openalex.org/W2510286488, https://openalex.org/W1968302884, https://openalex.org/W2950796920, https://openalex.org/W3119264788 |
| referenced_works_count | 21 |
| abstract_inverted_index.a | 3, 31 |
| abstract_inverted_index.25 | 12 |
| abstract_inverted_index.We | 1 |
| abstract_inverted_index.an | 78 |
| abstract_inverted_index.as | 49, 51 |
| abstract_inverted_index.in | 57, 68, 91 |
| abstract_inverted_index.is | 77 |
| abstract_inverted_index.of | 33, 61, 81 |
| abstract_inverted_index.on | 11 |
| abstract_inverted_index.to | 59 |
| abstract_inverted_index.up | 58 |
| abstract_inverted_index.17% | 60 |
| abstract_inverted_index.Our | 21, 72 |
| abstract_inverted_index.The | 40 |
| abstract_inverted_index.and | 14, 46, 64, 87, 94 |
| abstract_inverted_index.are | 35, 55, 66 |
| abstract_inverted_index.the | 62, 92 |
| abstract_inverted_index.cell | 28 |
| abstract_inverted_index.many | 65 |
| abstract_inverted_index.some | 54 |
| abstract_inverted_index.that | 75 |
| abstract_inverted_index.well | 50 |
| abstract_inverted_index.found | 67 |
| abstract_inverted_index.known | 69 |
| abstract_inverted_index.novel | 4, 41 |
| abstract_inverted_index.there | 76 |
| abstract_inverted_index.third | 32 |
| abstract_inverted_index.tumor | 13 |
| abstract_inverted_index.using | 8 |
| abstract_inverted_index.which | 34 |
| abstract_inverted_index.24,528 | 24 |
| abstract_inverted_index.across | 37, 89 |
| abstract_inverted_index.cancer | 70, 95 |
| abstract_inverted_index.cells, | 63 |
| abstract_inverted_index.common | 88 |
| abstract_inverted_index.exonic | 25 |
| abstract_inverted_index.genes. | 71 |
| abstract_inverted_index.normal | 15, 93 |
| abstract_inverted_index.shared | 36 |
| abstract_inverted_index.single | 27 |
| abstract_inverted_index.calling | 6 |
| abstract_inverted_index.cells). | 20 |
| abstract_inverted_index.genetic | 83 |
| abstract_inverted_index.include | 43 |
| abstract_inverted_index.sceSNVs | 42 |
| abstract_inverted_index.somatic | 45 |
| abstract_inverted_index.suggest | 74 |
| abstract_inverted_index.variant | 5 |
| abstract_inverted_index.Abstract | 0 |
| abstract_inverted_index.approach | 22 |
| abstract_inverted_index.datasets | 18 |
| abstract_inverted_index.findings | 73 |
| abstract_inverted_index.germline | 47 |
| abstract_inverted_index.multiple | 38 |
| abstract_inverted_index.possibly | 85 |
| abstract_inverted_index.samples, | 90 |
| abstract_inverted_index.samples. | 39 |
| abstract_inverted_index.strategy | 7 |
| abstract_inverted_index.expressed | 29, 56, 82 |
| abstract_inverted_index.non-dbSNP | 26 |
| abstract_inverted_index.recurrent | 86 |
| abstract_inverted_index.scRNA-seq | 17 |
| abstract_inverted_index.variants, | 48, 84 |
| abstract_inverted_index.variants; | 53 |
| abstract_inverted_index.(sce)SNVs, | 30 |
| abstract_inverted_index.alignments | 10 |
| abstract_inverted_index.identified | 23 |
| abstract_inverted_index.repertoire | 80 |
| abstract_inverted_index.unreported | 44 |
| abstract_inverted_index.10XGenomics | 16 |
| abstract_inverted_index.demonstrate | 2 |
| abstract_inverted_index.(>200,000 | 19 |
| abstract_inverted_index.transcriptome. | 96 |
| abstract_inverted_index.unacknowledged | 79 |
| abstract_inverted_index.RNA-originating | 52 |
| abstract_inverted_index.barcode-stratified | 9 |
| cited_by_percentile_year | |
| corresponding_author_ids | https://openalex.org/A5030754052 |
| countries_distinct_count | 1 |
| institutions_distinct_count | 6 |
| corresponding_institution_ids | https://openalex.org/I193531525, https://openalex.org/I4210104270 |
| sustainable_development_goals[0].id | https://metadata.un.org/sdg/3 |
| sustainable_development_goals[0].score | 0.6000000238418579 |
| sustainable_development_goals[0].display_name | Good health and well-being |
| citation_normalized_percentile.value | 0.06727102 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |