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Sarangan Ravichandran

dblp:166/8757 · DBLP profile ↗
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2ranked-venue papers
0as first author
1since 2021 · last 2021
0000-0001-6349-0172ORCID · corroborated

Domains — the database's venue-derived domains; a paper can count in several

Applied, interdisciplinary, general and emerging computing · 2 · 1 since 2021

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Interdisciplinary, comprehensive, and emerging computing
2 papers
Bioinformatics and computational biology · 100%

Topics — the 6 heaviest of 6, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Bioinformatics and computational biology › genomics
genome visualization
0.722021
AVIA 3.0: interactive portal for genomic variant and sample level analysis · Bioinform. 2021
AVIA v2.0: annotation, visualization and impact analysis of genomic variants and genes · Bioinform. 2015
Bioinformatics and computational biology › genomics
genomic variant analysis
0.212015
AVIA v2.0: annotation, visualization and impact analysis of genomic variants and genes · Bioinform. 2015
Bioinformatics and computational biology › genomics
variant annotation
0.212015
AVIA v2.0: annotation, visualization and impact analysis of genomic variants and genes · Bioinform. 2015
Bioinformatics and computational biology › functional genomics
variant functional annotation
0.212015
AVIA v2.0: annotation, visualization and impact analysis of genomic variants and genes · Bioinform. 2015
Bioinformatics and computational biology
cancer genomics
0.112021
AVIA 3.0: interactive portal for genomic variant and sample level analysis · Bioinform. 2021
Bioinformatics and computational biology › genomics
variant analysis
0.112021
AVIA 3.0: interactive portal for genomic variant and sample level analysis · Bioinform. 2021

Methods — techniques the papers use, named apart from their topics

ANNOVAR · 0.2
YearPublicationVenuePosition
2021 AVIA 3.0: interactive portal for genomic variant and sample level analysis
abstract
SUMMARY: The 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.
Hue V. Reardon, Anney Che, Brian T. Luke, Sarangan Ravichandran, Jack R. Collins, Uma Mudunuri
Bioinform.4
2015 AVIA v2.0: annotation, visualization and impact analysis of genomic variants and genes
abstract
UNLABELLED: As sequencing becomes cheaper and more widely available, there is a greater need to quickly and effectively analyze large-scale genomic data. While the functionality of AVIA v1.0, whose implementation was based on ANNOVAR, was comparable with other annotation web servers, AVIA v2.0 represents an enhanced web-based server that extends genomic annotations to cell-specific transcripts and protein-level functional annotations. With AVIA's improved interface, users can better visualize their data, perform comprehensive searches and categorize both coding and non-coding variants. AVAILABILITY AND IMPLEMENTATION: AVIA is freely available through the web at http://avia.abcc.ncifcrf.gov. CONTACT: [email protected] SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.
Hue Vuong, Anney Che, Sarangan Ravichandran, Brian T. Luke, Jack R. Collins, Uma Mudunuri
Bioinform.3