André Kahles

Orcid: 0000-0002-3411-0692

According to our database1, André Kahles authored at least 19 papers between 2011 and 2024.

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Bibliography

2024
Label-guided seed-chain-extend alignment on annotated De Bruijn graphs.
Bioinform., 2024

Probabilistic pathway-based multimodal factor analysis.
Bioinform., 2024

2022
RNA Instant Quality Check: Alignment-Free RNA-Degradation Detection.
J. Comput. Biol., 2022

SECEDO: SNV-based subclone detection using ultra-low coverage single-cell DNA sequencing.
Bioinform., 2022

Lossless Indexing with Counting de Bruijn Graphs.
Proceedings of the Research in Computational Molecular Biology, 2022

2021
Topology-based sparsification of graph annotations.
Bioinform., 2021

2020
Analyses of non-coding somatic drivers in 2,658 cancer whole genomes.
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Nat., 2020

Genomic basis for RNA alterations in cancer.
Nat., 2020

AStarix: Fast and Optimal Sequence-to-Graph Alignment.
Proceedings of the Research in Computational Molecular Biology, 2020

2019
Dynamic compression schemes for graph coloring.
Bioinform., 2019

Sparse Binary Relation Representations for Genome Graph Annotation.
Proceedings of the Research in Computational Molecular Biology, 2019

2016
<i>SplAdder</i>: identification, quantification and testing of alternative splicing events from RNA-Seq data.
Bioinform., 2016

MMR: a tool for read multi-mapper resolution.
Bioinform., 2016

2015
Integrative Genome-wide Analysis of the Determinants of RNA Splicing in Kidney Renal Clear Cell Carcinoma.
Proceedings of the Biocomputing 2015: Proceedings of the Pacific Symposium, 2015

2014
Oqtans: a multifunctional workbench for RNA-seq data analysis.
BMC Bioinform., 2014

Oqtans: the RNA-seq workbench in the cloud for complete and reproducible quantitative transcriptome analysis.
Bioinform., 2014

2013
MITIE: Simultaneous RNA-Seq-based transcript identification and quantification in multiple samples.
Bioinform., 2013

2011
Oqtans: a Galaxy-integrated workflow for quantitative transcriptome analysis from NGS Data.
BMC Bioinform., 2011

Hierarchical Multitask Structured Output Learning for Large-scale Sequence Segmentation.
Proceedings of the Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011. Proceedings of a meeting held 12-14 December 2011, 2011


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