author = "Yasuhiro Harada and Toshimitsu Asakura",
author = "Yasuhiro Harada and Toshimitsu Asakura",
abstract = "Theoretical expressions of the radiation pressure force for a dielectric sphere in the Rayleigh regime of light scattering under illumination of a Gaussian laser beam with the fundamental mode are derived in explicit form as a function of measurable quantities of the beam parameter in MKS units. Correctness of the derived expressions and validity of the size range of the Rayleigh approximation for the radiation forces as a sum of the scattering force and the gradient force are investigated by a graphical comparison of the calculated forces in longitudinal and transverse components with those obtained from the generalized Lorenz-Mie theory. Fairly good agreement in both components is found within ordinary particle-size ranges of the Rayleigh scattering theory. Furthermore, the good agreement in the transverse component, where the gradient force is dominant, is found to be satisfactory beyond the existing criterion in particle size of the Rayleigh scattering theory until the particle size becomes comparable with the spot size of the illuminating laser beam."
abstract = "Theoretical expressions of the radiation pressure force for a dielectric sphere in the Rayleigh regime of light scattering under illumination of a Gaussian laser beam with the fundamental mode are derived in explicit form as a function of measurable quantities of the beam parameter in MKS units. Correctness of the derived expressions and validity of the size range of the Rayleigh approximation for the radiation forces as a sum of the scattering force and the gradient force are investigated by a graphical comparison of the calculated forces in longitudinal and transverse components with those obtained from the generalized Lorenz-Mie theory. Fairly good agreement in both components is found within ordinary particle-size ranges of the Rayleigh scattering theory. Furthermore, the good agreement in the transverse component, where the gradient force is dominant, is found to be satisfactory beyond the existing criterion in particle size of the Rayleigh scattering theory until the particle size becomes comparable with the spot size of the illuminating laser beam."
}
}
@article{10.1093/nar/28.1.27,
author = {Kanehisa, Minoru and Goto, Susumu},
title = "{KEGG: Kyoto Encyclopedia of Genes and Genomes}",
journal = {Nucleic Acids Research},
volume = {28},
number = {1},
pages = {27-30},
year = {2000},
month = {01},
abstract = "{KEGG (Kyoto Encyclopedia of Genes and Genomes) is a knowledge base for systematic analysis of gene functions, linking genomic information with higher order functional information. The genomic information is stored in the GENES database, which is a collection of gene catalogs for all the completely sequenced genomes and some partial genomes with up-to-date annotation of gene functions. The higher order functional information is stored in the PATHWAY database, which contains graphical representations of cellular processes, such as metabolism, membrane transport, signal transduction and cell cycle. The PATHWAY database is supplemented by a set of ortholog group tables for the information about conserved subpathways (pathway motifs), which are often encoded by positionally coupled genes on the chromosome and which are especially useful in predicting gene functions. A third database in KEGG is LIGAND for the information about chemical compounds, enzyme molecules and enzymatic reactions. KEGG provides Java graphics tools for browsing genome maps, comparing two genome maps and manipulating expression maps, as well as computational tools for sequence comparison, graph comparison and path computation. The KEGG databases are daily updated and made freely available (http://www.genome.ad.jp/kegg/ ).}",
author = {Kanehisa, Minoru and Sato, Yoko and Furumichi, Miho and Morishima, Kanae and Tanabe, Mao},
title = "{New approach for understanding genome variations in KEGG}",
journal = {Nucleic Acids Research},
volume = {47},
number = {D1},
pages = {D590-D595},
year = {2018},
month = {10},
abstract = "{KEGG (Kyoto Encyclopedia of Genes and Genomes; https://www.kegg.jp/ or https://www.genome.jp/kegg/) is a reference knowledge base for biological interpretation of genome sequences and other high-throughput data. It is an integrated database consisting of three generic categories of systems information, genomic information and chemical information, and an additional human-specific category of health information. KEGG pathway maps, BRITE hierarchies and KEGG modules have been developed as generic molecular networks with KEGG Orthology nodes of functional orthologs so that KEGG pathway mapping and other procedures can be applied to any cellular organism. Unfortunately, however, this generic approach was inadequate for knowledge representation in the health information category, where variations of human genomes, especially disease-related variations, had to be considered. Thus, we have introduced a new approach where human gene variants are explicitly incorporated into what we call ‘network variants’ in the recently released KEGG NETWORK database. This allows accumulation of knowledge about disease-related perturbed molecular networks caused not only by gene variants, but also by viruses and other pathogens, environmental factors and drugs. We expect that KEGG NETWORK will become another reference knowledge base for the basic understanding of disease mechanisms and practical use in clinical sequencing and drug development.}",
abstract = {Abstract In this era of high-throughput biology, bioinformatics has become a major discipline for making sense out of large-scale datasets. Bioinformatics is usually considered as a practical field developing databases and software tools for supporting other fields, rather than a fundamental scientific discipline for uncovering principles of biology. The KEGG resource that we have been developing is a reference knowledge base for biological interpretation of genome sequences and other high-throughput data. It is now one of the most utilized biological databases because of its practical values. For me personally, KEGG is a step toward understanding the origin and evolution of cellular organisms.},
lorenzo.zolfanelli93
4 years ago
overleaf
