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Thomas Amort

dblp:176/9866 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 2016
—ORCID · none

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

Applied, interdisciplinary, general and emerging computing · 1

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 › epigenomics › DNA methylation › DNA methylation analysis
bisulfite sequencing
0.212016
meRanTK: methylated RNA analysis ToolKit · Bioinform. 2016
Bioinformatics and computational biology › epigenomics
differential methylation analysis
0.212016
meRanTK: methylated RNA analysis ToolKit · Bioinform. 2016
Bioinformatics and computational biology › transcriptomics › epitranscriptomics
RNA modification analysis
0.212016
meRanTK: methylated RNA analysis ToolKit · Bioinform. 2016

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

statistical analysis · 0.2bisulfite sequencing · 0.2
YearPublicationVenuePosition
2016 meRanTK: methylated RNA analysis ToolKit
abstract
UNLABELLED: The significance and function of posttranscriptional cytosine methylation in poly(A)RNA attracts great interest but is still poorly understood. High-throughput sequencing of RNA treated with bisulfite (RNA-BSseq) or subjected to enrichment techniques like Aza-IP or miCLIP enables transcriptome wide studies of this particular modification at single base pair resolution. However, to date, there are no specialized software tools available for the analysis of RNA-BSseq or Aza-IP data. Therefore, we developed meRanTK, the first publicly available tool kit which addresses the special demands of high-throughput RNA cytosine methylation data analysis. It provides fast and easy to use splice-aware bisulfite sequencing read mapping, comprehensive methylation calling and identification of differentially methylated cytosines by statistical analysis of single- and multi-replicate experiments. Application of meRanTK to RNA-BSseq or Aza-IP data produces accurate results in standard compliant formats. AVAILABILITY AND IMPLEMENTATION: meRanTK, source code and test data are released under the GNU GPLv3+ license and are available at http://icbi.at/software/meRanTK/ CONTACT: [email protected].
Dietmar Rieder, Thomas Amort, Elisabeth Kugler, Alexandra Lusser, Zlatko Trajanoski
Bioinform.2