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Omer S. Alkhnbashi

Informatiker

Name	Omer S. Alkhnbashi
Ort	Freiburg im Breisgau (Wirkungsort) Deutschland
Akademischer Grad bzw. Titel	Dr. rer. nat.
Beruf	Informatiker (charakteristischer Beruf)
Variante	Omer Salem Alkhnbashi Omer Salem Al-Khadher Alkhnbashi
Beziehung	Bioinformatik (Thema)
Weitere Angaben	Diss., 2017, Universität Freiburg, Technische Fakultät
Datensatztyp	Person
GND-Nummer	113079394X
Datensatz-ID	113079394X
Beteiligt an alle anzeigen Deepdefense: annotation of immune systems in prokaryotes using deep learning Interrogating two extensively self-targeting Type I CRISPR-Cas systems in Xanthomonas albilineans reveals distinct anti-CRISPR proteins that block DNA degradation SpacerPlacer: ancestral reconstruction of CRISPR arrays reveals the evolutionary dynamics of spacer deletions Revealing the small proteome of Haloferax volcaniiby combining ribosome profiling and small-protein optimized mass spectrometry CRISPRtracrRNA: robust approach for CRISPR tracrRNA detection RiboReport - benchmarking tools for ribosome profiling-based identification of open reading frames in bacteria CdrS is a global transcriptional regulator influencing cell division in Haloferax volcanii CRISPRidentify: identification of CRISPR arrays using machine learning approach CRISPRloci: comprehensive and accurate annotation of CRISPR–Cas systems CRISPRcasIdentifier: Machine learning for accurate identification and classification of CRISPR-Cas systems Comprehensive search for accessory proteins encoded with archaeal and bacterial type III CRISPR-cas gene cassettes reveals 39 new cas gene families Freiburg RNA tools: a central online resource for RNA-focused research and teaching The nuts and bolts of the Haloferax CRISPR-Cas system I-B Computational characterisation of genomic CRISPR-Cas systems in archaea and bacteria Structural constraints and enzymatic promiscuity in the Cas6-dependent generation of crRNAs CRISPRstrand: predicting repeat orientations to determine the crRNA-encoding strand at CRISPR loci CRISPRmap: an automated classification of repeat conservation in prokaryotic adaptive immune systems

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Katalog der Deutschen Nationalbibliothek

Omer S. Alkhnbashi

Deepdefense: annotation of immune systems in prokaryotes using deep learning

Interrogating two extensively self-targeting Type I CRISPR-Cas systems in Xanthomonas albilineans reveals distinct anti-CRISPR proteins that block DNA degradation

SpacerPlacer: ancestral reconstruction of CRISPR arrays reveals the evolutionary dynamics of spacer deletions

Revealing the small proteome of Haloferax volcaniiby combining ribosome profiling and small-protein optimized mass spectrometry

CRISPRtracrRNA: robust approach for CRISPR tracrRNA detection

RiboReport - benchmarking tools for ribosome profiling-based identification of open reading frames in bacteria

CdrS is a global transcriptional regulator influencing cell division in Haloferax volcanii

CRISPRidentify: identification of CRISPR arrays using machine learning approach

CRISPRloci: comprehensive and accurate annotation of CRISPR–Cas systems

CRISPRcasIdentifier: Machine learning for accurate identification and classification of CRISPR-Cas systems

Comprehensive search for accessory proteins encoded with archaeal and bacterial type III CRISPR-cas gene cassettes reveals 39 new cas gene families

Freiburg RNA tools: a central online resource for RNA-focused research and teaching

The nuts and bolts of the Haloferax CRISPR-Cas system I-B

Computational characterisation of genomic CRISPR-Cas systems in archaea and bacteria

Structural constraints and enzymatic promiscuity in the Cas6-dependent generation of crRNAs

CRISPRstrand: predicting repeat orientations to determine the crRNA-encoding strand at CRISPR loci

CRISPRmap: an automated classification of repeat conservation in prokaryotic adaptive immune systems