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A unified pipeline for FISH spatial transcriptomics

Cell Genomics(2023)10.1016/j.xgen.2023.100384Source: DataRank Database

A unified pipeline for FISH spatial transcriptomics is a research paper published in Cell Genomics (2023). On theSindex it has a DataRank of 0.406. It has been cited 14 times.

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0.406DataRank · unranked

Scored on demand from live citation data

Open Access14 citations

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›Methodology & internals

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Pipeline:MetadataData-paper checkEnrichmentCitation networkScoring

Enrichment:Funding (13 grants)Impact (FWCI 1.29)OA: goldTopics (32)IDs (PubMed, PMC, OpenAlex)Annotations (1)SDGs (1)

FAIR Checklist

Context only (not used in score)

Findable (1/2)

Has DOI

Accessible (1/2)

Open Access

Interoperable (0/2)

Reusable (0/3)

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DataRank Breakdown

Base Score 100%Citation Network 0%

Base Score Contribution

0.406

From this paper's citation signal

Citation Network Contribution

Citation network not refreshed for this result

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Authors (4)

Nicholas Keener,Mathew Ruffalo,Benedict Paten ORCID,Cecilia Cisar ORCID

Live enrichment

PubMed:37719153 PMC:PMC10504669 OpenAlex:https://openalex.org/W4386034444

National Institutes of Health

Grant: OT2OD033761

National Institutes of Health

Grant: OT3HL142481

National Institutes of Health

Grant: R01HG010485

National Institutes of Health

Grant: U01HG010961

National Institutes of Health

Grant: U24HG010262

National Institutes of Health

Grant: U24HG011853

NHGRI NIH HHS

Grant: U24 HG007234

National Institutes of Health

Grant: 1R01HG010485-01A1

Enabling Comparative Pangenomics

National Institutes of Health

Grant: 1U01HG010961-01

The construction and utility of reference pan-genome graphs

National Institutes of Health

Grant: 5U24HG011853-04

Dockstore: The Community Platform for Reproducible Biomedical Workflows and Applications

National Institutes of Health

Grant: 1OT2OD033761-01

Computational tools for uniform processing and integration of human reference atlas data [2 of 5]

National Institutes of Health

Grant: 3OT3HL142481-01S3

The Integration of Trans-omics for Precision Medicine (TOPMED) and Other Heart, Lung, Blood and Sleep (HLBS) Data Sets with the Data Commons

National Institutes of Health

Grant: 5U24HG010262-03

The AnVIL Data Ecosystem

FWCI

1.29

Citation Percentile

0.8%

Citation Trend

2023

2024

2025

2026

goldLicense: cc-by

journalhttps://ars.els-cdn.com/content/image/1-s2.0-S2666979X23001817-fx1_lrg.jpg

publisherhttps://ars.els-cdn.com/content/image/1-s2.0-S2666979X23001817-fx1_lrg.jpg

publisherhttps://api.elsevier.com/content/article/PII:S2666979X23001817?httpAccept=text/xml

publisherhttps://api.elsevier.com/content/article/PII:S2666979X23001817?httpAccept=text/plain

journalhttps://doi.org/10.1016/j.xgen.2023.100384

Fields of Study

Single-cell and spatial transcriptomicsMolecular Biology Techniques and ApplicationsGenomics and Phylogenetic Studies0301 basic medicine0206 medical engineering02 engineering and technology03 medical and health sciences

Keywords

Pipeline (software)Fish <Actinopterygii>Computer scienceTranscriptomeAnnotationComputational biologyExpression (computer science)Data miningBiologyGene expressionFisheryArtificial intelligenceGeneticsGeneFISHGenomicsTranscriptomicsComputational MethodsSpatial Transcriptomics570Biological Sciences1.5 Resources and infrastructure (underpinning)Article004Biotechnology

Sustainable Development Goals

SDG 0: Life below water