Evidence map›Paper›PMID 33289511›Full record

ArticleBioinformatics (Oxford, England)2021

AVIA 3.0: interactive portal for genomic variant and sample level analysis.

Hue V Reardon, Anney Che, Brian T Luke, Sarangan Ravichandran, Jack R Collins, Uma S Mudunuri

Abstract read
In one paragraph

Article in Bioinformatics (Oxford, England), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

6 authors.

Hue V ReardonAdvanced Biomedical Computational Science, Biomedical Informatics & Data Science, Frederick National Laboratory for Cancer Research, Frederick, MD 21702, USA.ORCID 0000-0003-4295-3857
Anney CheAdvanced Biomedical Computational Science, Biomedical Informatics & Data Science, Frederick National Laboratory for Cancer Research, Frederick, MD 21702, USA.
Brian T LukeAdvanced Biomedical Computational Science, Biomedical Informatics & Data Science, Frederick National Laboratory for Cancer Research, Frederick, MD 21702, USA.
Sarangan RavichandranAdvanced Biomedical Computational Science, Biomedical Informatics & Data Science, Frederick National Laboratory for Cancer Research, Frederick, MD 21702, USA.
Jack R CollinsAdvanced Biomedical Computational Science, Biomedical Informatics & Data Science, Frederick National Laboratory for Cancer Research, Frederick, MD 21702, USA.
Uma S MudunuriAdvanced Biomedical Computational Science, Biomedical Informatics & Data Science, Frederick National Laboratory for Cancer Research, Frederick, MD 21702, USA.

Funding

WORK ORDER 126643 B539 EXPAND IC SUITE75N91019D00024 · NIAID · LEIDOS BIOMEDICAL RESEARCH, INC. · PI PENDLETON, RICHARD · 2019 to 2025
$3932.6M
NCI NIH HHS HHSN261201800001CNIH HHS 75N91019D00024
6 · The paper itself

Abstract

summaryThe Annotation, Visualization and Impact Analysis (AVIA) is a web application combining multiple features to annotate and visualize genomic variant data. Users can investigate functional significance of their genetic alterations across samples, genes and pathways. Version 3.0 of AVIA offers filtering options through interactive charts and by linking disease relevant data sources. Newly incorporated services include gene, variant and sample level reporting, literature and functional correlations among impacted genes, comparative analysis across samples and against data sources such as TCGA and ClinVar, and cohort building. Sample and data management is now feasible through the application, which allows greater flexibility with sharing, reannotating and organizing data. Most importantly, AVIA's utility stems from its convenience for allowing users to upload and explore results without any a priori knowledge or the need to install, update and maintain software or databases. Together, these enhancements strengthen AVIA as a comprehensive, user-driven variant analysis portal. AVAILABILITYAND IMPLEMENTATION: AVIA is accessible online at https://avia-abcc.ncifcrf.gov.

Indexed as

Databases, GeneticGenetic VariationData ManagementGenomeGenomicsHumansInternetSoftware

Identifiers

PMID33289511
PMCPMC8388034

What OpenQuestion holds

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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.