Sabrina Krakau

ORCID: 0000-0003-0603-7907
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About
Contact & Profiles
Research Areas
  • RNA modifications and cancer
  • RNA and protein synthesis mechanisms
  • RNA Research and Splicing
  • Genomics and Phylogenetic Studies
  • Microbial Community Ecology and Physiology
  • Legume Nitrogen Fixing Symbiosis
  • Time Series Analysis and Forecasting
  • Drilling and Well Engineering
  • Natural Language Processing Techniques
  • Linguistic research and analysis
  • Reservoir Engineering and Simulation Methods
  • Banana Cultivation and Research

University of Tübingen
2021-2022

Max Planck Institute for Molecular Genetics
2017

The iCLIP and eCLIP techniques facilitate the detection of protein–RNA interaction sites at high resolution, based on diagnostic events crosslink sites. However, previous methods do not explicitly model specifics truncation patterns possible biases. We developed PureCLIP ( https://github.com/skrakau/PureCLIP ), a hidden Markov approach, which simultaneously performs peak-calling individual site detection. It incorporates non-specific background signal and, for first time, sequence On both...

10.1186/s13059-017-1364-2 article EN cc-by Genome biology 2017-12-01

The analysis of shotgun metagenomic data provides valuable insights into microbial communities, while allowing resolution at individual genome level. In absence complete reference genomes, this requires the reconstruction metagenome assembled genomes (MAGs) from sequencing reads. We present nf-core/mag pipeline for assembly, binning and taxonomic classification. It can optionally combine short long reads to increase assembly continuity utilize sample-wise group-information co-assembly...

10.1093/nargab/lqac007 article EN cc-by NAR Genomics and Bioinformatics 2022-01-13

Abstract iCLIP and eCLIP techniques facilitate the detection of protein-RNA interaction sites at high resolution, based on diagnostic events crosslink sites. However, previous methods do not explicitly model specifics truncation patterns possible biases. We developed PureCLIP, a hidden Markov approach, which simultaneously performs peak calling individual site detection. It incorporates RNA abundances and, for first time, non-specific sequence On both simulated real data, PureCLIP is more...

10.1101/146704 preprint EN bioRxiv (Cold Spring Harbor Laboratory) 2017-06-07

ABSTRACT The analysis of shotgun metagenomic data provides valuable insights into microbial communities, while allowing resolution at individual genome level. In absence complete reference genomes, this requires the reconstruction metagenome assembled genomes (MAGs) from sequencing reads. We present nf-core/mag pipeline for assembly, binning and taxonomic classification. It can optionally combine short long reads to increase assembly continuity utilize sample-wise group-information...

10.1101/2021.08.29.458094 preprint EN bioRxiv (Cold Spring Harbor Laboratory) 2021-08-31
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