Timo Lassmann focuses on Genetics, Regulation of gene expression, Gene, Human genome and Computational biology. His work in Transcription factor, Promoter, Genome, Genomics and Long non-coding RNA are all subfields of Genetics research. He has included themes like Gene expression, Gene regulatory network and Cellular differentiation in his Transcription factor study.
Timo Lassmann works mostly in the field of Regulation of gene expression, limiting it down to topics relating to Cap analysis gene expression and, in certain cases, Mammalian promoter database, as a part of the same area of interest. Timo Lassmann studies Gene, namely RNA. His Human genome research integrates issues from ENCODE and Gene expression profiling.
Timo Lassmann focuses on Genetics, Computational biology, Gene, Cap analysis gene expression and Regulation of gene expression. His Genetics study focuses mostly on Promoter, Gene expression profiling, Transcription factor, Enhancer and Human genome. His studies deal with areas such as Gene regulatory network and Cell biology as well as Transcription factor.
Timo Lassmann has researched Computational biology in several fields, including RNA, Long non-coding RNA, Transcriptome and Genome, Genomics. His Cap analysis gene expression study combines topics from a wide range of disciplines, such as Epigenetics, DNA binding site and Transcriptional regulation. His Regulation of gene expression research focuses on subjects like Gene expression, which are linked to Cell type.
His primary areas of investigation include Computational biology, Exome sequencing, Genomics, Transcriptome and Gene. His Computational biology research includes themes of Cancer, Gene expression profiling, RNA, Cap analysis gene expression and Biomarker discovery. His work is dedicated to discovering how Gene expression profiling, Genome are connected with Regulation of gene expression and other disciplines.
The various areas that Timo Lassmann examines in his Transcriptome study include Interferon, Rhinovirus, Cystic fibrosis, Enhancer and Promoter. Timo Lassmann is studying Gene expression, which is a component of Gene. His Transcriptional regulation study introduces a deeper knowledge of Genetics.
Timo Lassmann mostly deals with Gene, Enhancer, Transcriptome, Cell type and Computational biology. Many of his Gene research pursuits overlap with Sequence, Algorithm, Source code, Multiple sequence alignment and Construct. His Enhancer study incorporates themes from Polyadenylation, Sequence analysis, In situ hybridization and Gene expression profiling.
His Transcriptome research is under the purview of Genetics. His Cell type study integrates concerns from other disciplines, such as Nucleus, Epithelium, RNA-Seq and Gene expression. Timo Lassmann regularly links together related areas like RNA in his Computational biology studies.
This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.
The GENCODE v7 catalog of human long noncoding RNAs: analysis of their gene structure, evolution, and expression.
Thomas Derrien;Rory Johnson;Giovanni Bussotti;Andrea Tanzer.
Genome Research (2012)
Landscape of transcription in human cells
Sarah Djebali;Carrie A. Davis;Angelika Merkel;Alex Dobin.
An integrated encyclopedia of DNA elements in the human genome
Ian Dunham;Anshul Kundaje;Shelley F. Aldred;Patrick J. Collins.
Pfam: clans, web tools and services
Robert D. Finn;Jaina Mistry;Benjamin Schuster-Böckler;Sam Griffiths-Jones.
Nucleic Acids Research (2006)
An atlas of active enhancers across human cell types and tissues
Robin Andersson;Claudia Gebhard;Irene Miguel-Escalada;Ilka Hoof.
A User's Guide to the Encyclopedia of DNA Elements (ENCODE)
Richard M. Myers;John Stamatoyannopoulos;Michael Snyder;Ian Dunham.
PLOS Biology (2011)
A promoter-level mammalian expression atlas
Alistair R.R. Forrest;Hideya Kawaji;Michael Rehli;J. Kenneth Baillie.
Myogenic gene expression signature establishes that brown and white adipocytes originate from distinct cell lineages
James A. Timmons;James A. Timmons;James A. Timmons;Kristian Wennmalm;Ola Larsson;Tomas B. Walden;Tomas B. Walden.
Proceedings of the National Academy of Sciences of the United States of America (2007)
The regulated retrotransposon transcriptome of mammalian cells.
Geoffrey J Faulkner;Yasumasa Kimura;Carsten O Daub;Shivangi Wani.
Nature Genetics (2009)
Kalign – an accurate and fast multiple sequence alignment algorithm
Timo Lassmann;Erik L. L. Sonnhammer.
BMC Bioinformatics (2005)
If you think any of the details on this page are incorrect, let us know.
We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below: