Nucleic acid secondary structure, Nucleic acid structure and RNA splicing are the main areas of his RNA studies. In most of his Genetics studies, his work intersects topics such as Sequence (biology). His Sequence (biology) study frequently draws connections between related disciplines such as Genetics. In his papers, he integrates diverse fields, such as Gene and Peptide sequence. He merges many fields, such as Computational biology and DNA, in his writings. Rolf Backofen combines DNA and Gene in his research. Rolf Backofen brings together Cell biology and Molecular biology to produce work in his papers. In his research, Rolf Backofen performs multidisciplinary study on Molecular biology and Cell biology. Many of his studies on Programming language involve topics that are commonly interrelated, such as Set (abstract data type).
As part of his research on RNA, studies on RNA splicing and Nucleic acid structure are part of the effort. Gene and Biochemistry are two areas of study in which he engages in interdisciplinary research. Rolf Backofen undertakes multidisciplinary studies into Biochemistry and Gene in his work. His research on Genetics frequently connects to adjacent areas such as Sequence (biology). Rolf Backofen integrates Cell biology and Genetics in his studies. Rolf Backofen integrates Genome and RNA in his studies.
In his research, Rolf Backofen undertakes multidisciplinary study on Gene and Cas9. Rolf Backofen connects Genetics with DNA in his study. Rolf Backofen combines DNA and Genetics in his research. He undertakes multidisciplinary studies into Computational biology and Gene in his work. He integrates RNA and RNA-binding protein in his research. He integrates several fields in his works, including RNA-binding protein and RNA. His studies link Stem cell with Cell biology. Stem cell and Cell biology are frequently intertwined in his study. In his works, Rolf Backofen conducts interdisciplinary research on Data mining and Machine learning.
Gene and Bacterial genome size are two areas of study in which Rolf Backofen engages in interdisciplinary research. Computational biology and Gene are two areas of study in which he engages in interdisciplinary research. He incorporates Genetics and Evolutionary biology in his studies. He conducted interdisciplinary study in his works that combined Evolutionary biology and Genetics. His research ties Palindrome and CRISPR together. Rolf Backofen regularly ties together related areas like CRISPR in his Palindrome studies. Rolf Backofen integrates many fields in his works, including Genome and Mobile genetic elements. He connects Cas9 with Trans-activating crRNA in his research. His work blends Trans-activating crRNA and Cas9 studies together.
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An updated evolutionary classification of CRISPR–Cas systems
Kira S. Makarova;Yuri I. Wolf;Omer S. Alkhnbashi;Fabrizio Costa.
Nature Reviews Microbiology (2015)
Evolutionary classification of CRISPR-Cas systems: a burst of class 2 and derived variants.
Kira S. Makarova;Yuri I. Wolf;Jaime Iranzo;Sergey A. Shmakov.
Nature Reviews Microbiology (2020)
Autosomal dominant immune dysregulation syndrome in humans with CTLA4 mutations.
Desireé Schubert;Desireé Schubert;Claudia Bode;Rupert Kenefeck;Tie Zheng Hou.
Nature Medicine (2014)
Inferring noncoding RNA families and classes by means of genome-scale structure-based clustering.
Sebastian Will;Kristin Reiche;Ivo L Hofacker;Peter F Stadler.
PLOS Computational Biology (2005)
IntaRNA: efficient prediction of bacterial sRNA targets incorporating target site accessibility and seed regions
Anke Busch;Andreas S. Richter;Rolf Backofen.
Bioinformatics (2008)
Inferring non-coding RNA families and classes by means of genome-scale structure-based clustering
Ivo Hofacker;Peter Stadler;Sebastian Will;Rolf Backofen.
HASH(0x7fc54bd86c18) (2007)
IntaRNA 2.0: enhanced and customizable prediction of RNA-RNA interactions
Martin Mann;Patrick R. Wright;Rolf Backofen.
Nucleic Acids Research (2017)
DHX9 suppresses RNA processing defects originating from the Alu invasion of the human genome
Tuğçe Aktaş;İbrahim Avşar Ilık;Daniel Maticzka;Vivek Bhardwaj;Vivek Bhardwaj.
Nature (2017)
COMPUTATIONAL MOLECULAR BIOLOGY: AN INTRODUCTION
Peter Clote;Rolf Backofen.
(2000)
LocARNA-P: Accurate boundary prediction and improved detection of structural RNAs
Sebastian Will;Tejal Joshi;Ivo L. Hofacker;Peter F. Stadler.
RNA (2012)
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