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Siddharth Annaldasula

dblp:303/1621 · DBLP profile ↗
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1ranked-venue papers
1as first author
1since 2021 · last 2021
0000-0003-3012-0479ORCID · reported

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

Applied, interdisciplinary, general and emerging computing · 1 · 1 first-author · 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
1 paper
Bioinformatics and computational biology · 100%

Topics — the 3 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Bioinformatics and computational biology › transcriptomics
transcript isoform analysis
0.512021
IsoTV: processing and visualizing functional features of translated transcript isoforms · Bioinform. 2021
Bioinformatics and computational biology
transcriptomics
0.512021
IsoTV: processing and visualizing functional features of translated transcript isoforms · Bioinform. 2021
Bioinformatics and computational biology
cancer genomics
0.112021
IsoTV: processing and visualizing functional features of translated transcript isoforms · Bioinform. 2021

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

long-read RNA sequencing · 0.5
YearPublicationVenuePosition
2021 IsoTV: processing and visualizing functional features of translated transcript isoforms
abstract
SUMMARY: Despite the continuous discovery of new transcript isoforms, fueled by the recent increase in accessibility and accuracy of long-read RNA sequencing data, functional differences between isoforms originating from the same gene often remain obscure. To address this issue and enable researchers to assess potential functional consequences of transcript isoform variation on the proteome, we developed IsoTV. IsoTV is a versatile pipeline to process, predict and visualize the functional features of translated transcript isoforms. Attributes such as gene and isoform expression, transcript composition and functional features are summarized in an easy-to-interpret visualization. IsoTV is able to analyze a variety of data types from all eukaryotic organisms, including short- and long-read RNA-seq data. Using Oxford Nanopore long read data, we demonstrate that IsoTV facilitates the understanding of potential protein isoform function in different cancer cell types. AVAILABILITY AND IMPLEMENTATION: IsoTV is available at https://github.molgen.mpg.de/MayerGroup/IsoTV, with the corresponding documentation at https://isotv.readthedocs.io/. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.
Siddharth Annaldasula, Martyna Gajos, Andreas Mayer
Bioinform.1