Literature DB >> 7883746

Computer prediction of general PCR products based on dynamical solution structures of DNA.

Y Sakuma1, K Nishigaki.   

Abstract

A computer program which can predict general PCR products was developed and experimentally verified to be useful. This means that the approximation of solution structures of DNA based solely on Watson-Crick base pairing is effective. Intramolecular higher structures were shown to be responsible for the discrepancies between the predictions and the experimental results. This study provides a theoretical background to arbitrarily primed (or random) PCR. Other basic issues relating to general PCR are also discussed.

Mesh:

Substances:

Year:  1994        PMID: 7883746     DOI: 10.1093/oxfordjournals.jbchem.a124589

Source DB:  PubMed          Journal:  J Biochem        ISSN: 0021-924X            Impact factor:   3.387


  8 in total

1.  Whole genome sequence-enabled prediction of sequences performed for random PCR products of Escherichia coli.

Authors:  K Nishigaki; A Saito; H Takashi; M Naimuddin
Journal:  Nucleic Acids Res       Date:  2000-05-01       Impact factor: 16.971

2.  A mathematical model and a computerized simulation of PCR using complex templates.

Authors:  E Rubin; A A Levy
Journal:  Nucleic Acids Res       Date:  1996-09-15       Impact factor: 16.971

3.  Genome profiling (GP) method based classification of insects: congruence with that of classical phenotype-based one.

Authors:  Shamim Ahmed; Manabu Komori; Sachika Tsuji-Ueno; Miho Suzuki; Akinori Kosaku; Kiyoshi Miyamoto; Koichi Nishigaki
Journal:  PLoS One       Date:  2011-08-31       Impact factor: 3.240

4.  Establishment of a reborn MMV-microarray technology: realization of microbiome analysis and other hitherto inaccessible technologies.

Authors:  Harshita Sharma; Yasunori Kinoshita; Seiichi Fujiu; Shota Nomura; Mizuho Sawada; Shamim Ahmed; Masaki Shibuya; Kosaku Shirai; Syota Takamatsu; Tsuyoshi Watanabe; Hitoshi Yamazaki; Ryohei Kamiyama; Tetsuya Kobayashi; Hidenao Arai; Miho Suzuki; Naoto Nemoto; Ki Ando; Hidekazu Uchida; Koichiro Kitamura; Osamu Takei; Koichi Nishigaki
Journal:  BMC Biotechnol       Date:  2014-08-21       Impact factor: 2.563

5.  The genome profiling method can be applied for species identification of biological materials collected at crime scenes.

Authors:  Takako Kinebuchi; Nozomi Idota; Hajime Tsuboi; Marin Takaso; Risa Bando; Hiroshi Ikegaya
Journal:  BMC Genet       Date:  2019-06-10       Impact factor: 2.797

6.  A solution for universal classification of species based on genomic DNA.

Authors:  Mariko Kouduka; Daisuke Sato; Manabu Komori; Motohiro Kikuchi; Kiyoshi Miyamoto; Akinori Kosaku; Mohammed Naimuddin; Atsushi Matsuoka; Koichi Nishigaki
Journal:  Int J Plant Genomics       Date:  2007

7.  Systematic genome sequence differences among leaf cells within individual trees.

Authors:  Deepti Diwan; Shun Komazaki; Miho Suzuki; Naoto Nemoto; Takuyo Aita; Akiko Satake; Koichi Nishigaki
Journal:  BMC Genomics       Date:  2014-02-19       Impact factor: 3.969

8.  Familial clustering of mice consistent to known pedigrees enabled by the genome profiling (GP) method.

Authors:  Harshita Sharma; Fumihito Ohtani; Parmila Kumari; Deepti Diwan; Naoko Ohara; Tetsuya Kobayashi; Miho Suzuki; Naoto Nemoto; Yoshibumi Matsushima; Koichi Nishigaki
Journal:  Biophysics (Nagoya-shi)       Date:  2014-09-06
  8 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.