Evidence map›Paper›PMID 33256603›Full record

ArticleBMC bioinformatics2020

Isabl Platform, a digital biobank for processing multimodal patient data.

Juan S Medina-Martínez, Juan E Arango-Ossa, Max F Levine, Yangyu Zhou, Gunes Gundem, Andrew L Kung, Elli Papaemmanuil

Abstract read
In one paragraph

Article in BMC bioinformatics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers.

0numbers the graph read from it
0cells of the map it votes in
36citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

36 citing papers in PubMed.

  1. Trial
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  3. Evolution of oncogene amplification across 86,000 cancer cell genomes.bioRxiv : the preprint server for biology · 2026
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  9. Clinical Significance ofJCO precision oncology · 2025
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  17. Review
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Juan S Medina-MartínezMemorial Sloan Kettering Cancer Center, New York, NY, USA.
Juan E Arango-OssaMemorial Sloan Kettering Cancer Center, New York, NY, USA.
Max F LevineMemorial Sloan Kettering Cancer Center, New York, NY, USA.
Yangyu ZhouMemorial Sloan Kettering Cancer Center, New York, NY, USA.
Gunes GundemMemorial Sloan Kettering Cancer Center, New York, NY, USA.
Andrew L KungMemorial Sloan Kettering Cancer Center, New York, NY, USA.
Elli PapaemmanuilMemorial Sloan Kettering Cancer Center, New York, NY, USA. papaemme@mskcc.org.ORCID http://orcid.org/0000-0003-1709-8983

Funding

X-RAY CRYSTALLOGRAPHYP30CA008748 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI Hongbiao Carl Lekaye · 1985 to 2026
$347.4M
NCI NIH HHS P30 CA008748
6 · The paper itself

Abstract

backgroundThe widespread adoption of high throughput technologies has democratized data generation. However, data processing in accordance with best practices remains challenging and the data capital often becomes siloed. This presents an opportunity to consolidate data assets into digital biobanks-ecosystems of readily accessible, structured, and annotated datasets that can be dynamically queried and analysed.

resultsWe present Isabl, a customizable plug-and-play platform for the processing of multimodal patient-centric data. Isabl's architecture consists of a relational database (Isabl DB), a command line client (Isabl CLI), a RESTful API (Isabl API) and a frontend web application (Isabl Web). Isabl supports automated deployment of user-validated pipelines across the entire data capital. A full audit trail is maintained to secure data provenance, governance and ensuring reproducibility of findings.

conclusionsAs a digital biobank, Isabl supports continuous data utilization and automated meta analyses at scale, and serves as a catalyst for research innovation, new discoveries, and clinical translation.

Indexed as

Biological Specimen BanksDatabases, FactualHumansInternetReproducibility of ResultsSoftwareUser-Computer InterfaceAnalysis information management systemData processingGenomicsImage processingMultimodal dataNext generation sequencingSoftware engineering

Identifiers

PMID33256603
PMCPMC7708092

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.