Genomics and proteomics: a signal processor's tour [PDF]
The theory and methods of signal processing are becoming increasingly important in molecular biology. Digital filtering techniques, transform domain methods, and Markov models have played important roles in gene identification, biological sequence ...
Vaidyanathan, P. P.
core +2 more sources
Sequencing Enabling Design and Learning in Synthetic Biology
The ability to read and quantify nucleic acids such as DNA and RNA using sequencing technologies has revolutionized our understanding of life. With the emergence of synthetic biology, these tools are now being put to work in new ways - enabling de novo biological design.
Gilliot, Pierre-Aurelien M A +1 more
openaire +4 more sources
Lineage-specific interface proteins match up the cell cycle and differentiation in embryo stem cells
The shortage of molecular information on cell cycle changes along embryonic stem cell (ESC) differentiation prompts an in silico approach, which may provide a novel way to identify candidate genes or mechanisms acting in coordinating the two programs. We
Angela Re +4 more
doaj +1 more source
Developing and applying heterogeneous phylogenetic models with XRate [PDF]
Modeling sequence evolution on phylogenetic trees is a useful technique in computational biology. Especially powerful are models which take account of the heterogeneous nature of sequence evolution according to the "grammar" of the encoded gene features.
A Heger +32 more
core +5 more sources
Quantification of within-sample genetic heterogeneity from SNP-array data
Intra-tumour genetic heterogeneity (ITH) fosters drug resistance and is a critical hurdle to clinical treatment. ITH can be well-measured using multi-region sampling but this is costly and challenging to implement.
Pierre Martinez +5 more
doaj +1 more source
MAFFT Multiple Sequence Alignment Software Version 7: Improvements in Performance and Usability
We report a major update of the MAFFT multiple sequence alignment program. This version has several new features, including options for adding unaligned sequences into an existing alignment, adjustment of direction in nucleotide alignment, constrained ...
K. Katoh, D. Standley
semanticscholar +1 more source
Decoding Sequence Classification Models for Acquiring New Biological Insights [PDF]
Classifying biological sequences is one of the most important tasks in computational biology. In the last decade, support vector machines (SVMs) in combination with sequence kernels have emerged as a de-facto standard.
Andreas Kothmeier +5 more
core +2 more sources
ANALYZING THE GENOMIC VARIATION OF MICROBIAL CELL FACTORIES IN THE ERA OF “NEW BIOTECHNOLOGY”
The application of genome-scale technologies, both experimental and in silico, to industrial biotechnology has allowed improving the conversion of biomass-derived feedstocks to chemicals, materials and fuels through microbial fermentation. In particular,
Markus Herrgård, Gianni Panagiotou
doaj +1 more source
Fast, scalable generation of high-quality protein multiple sequence alignments using Clustal Omega
Multiple sequence alignments are fundamental to many sequence analysis methods. Most alignments are computed using the progressive alignment heuristic. These methods are starting to become a bottleneck in some analysis pipelines when faced with data sets
Fabian Sievers +11 more
semanticscholar +1 more source
Are there laws of genome evolution? [PDF]
Research in quantitative evolutionary genomics and systems biology led to the discovery of several universal regularities connecting genomic and molecular phenomic variables.
Koonin, Eugene V.
core +4 more sources

