Zobrazeno 1 - 10
of 98
pro vyhledávání: '"Knudsen Bjarne"'
Autor:
Rahman Ahmad Yamin Abdul, Usharraj Abhilash O, Misra Biswapriya B, Thottathil Gincy P, Jayasekaran Kandakumar, Feng Yun, Hou Shaobin, Ong Su Yean, Ng Fui Ling, Lee Ling Sze, Tan Hock Siew, Sakaff Muhd Khairul Luqman Muhd, Teh Beng Soon, Khoo Bee, Badai Siti Suriawati, Aziz Nurohaida Ab, Yuryev Anton, Knudsen Bjarne, Dionne-Laporte Alexandre, Mchunu Nokuthula P, Yu Qingyi, Langston Brennick J, Freitas Tracey Allen K, Young Aaron G, Chen Rui, Wang Lei, Najimudin Nazalan, Saito Jennifer A, Alam Maqsudul
Publikováno v:
BMC Genomics, Vol 14, Iss 1, p 75 (2013)
Abstract Background Hevea brasiliensis, a member of the Euphorbiaceae family, is the major commercial source of natural rubber (NR). NR is a latex polymer with high elasticity, flexibility, and resilience that has played a critical role in the world
Externí odkaz:
https://doaj.org/article/2407e7ca07f14b8db07b56f5aaab1908
Publikováno v:
BMC Bioinformatics, Vol 12, Iss 1, p 103 (2011)
Abstract Background The prediction of the structure of large RNAs remains a particular challenge in bioinformatics, due to the computational complexity and low levels of accuracy of state-of-the-art algorithms. The pfold model couples a stochastic co
Externí odkaz:
https://doaj.org/article/67ca4df84744458eafd1f3ee218544b0
Autor:
Miyamoto Michael M, Knudsen Bjarne
Publikováno v:
BMC Bioinformatics, Vol 10, Iss 1, p 247 (2009)
Abstract Background The population mutation rate (θ) remains one of the most fundamental parameters in genetics, ecology, and evolutionary biology. However, its accurate estimation can be seriously compromised when working with error prone data such
Externí odkaz:
https://doaj.org/article/15a83852bda2419eb80865ba65707161
Autor:
Miyamoto Michael M, Knudsen Bjarne
Publikováno v:
BMC Evolutionary Biology, Vol 5, Iss 1, p 21 (2005)
Abstract Background The f factor is a new parameter for accommodating the influence of both the starting and ending states in the rate matrices of "generalized weighted frequencies" (+gwF) models for sequence evolution. In this study, we derive an ex
Externí odkaz:
https://doaj.org/article/9b0a54943a55415c99d3354230c7fc7c
Autor:
Knudsen, Bjarne, Miyamoto, Michael M.
Publikováno v:
Proceedings of the National Academy of Sciences of the United States of America, 2001 Dec 01. 98(25), 14512-14517.
Externí odkaz:
https://www.jstor.org/stable/3057308
Akademický článek
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Autor:
Sükösd, Zsuzsanna1,2,3, Knudsen, Bjarne4, Anderson, James WJ5, Novák, Ádám5,6, Kjems, Jørgen2,3, Pedersen, Christian NS1,7
Publikováno v:
BMC Bioinformatics. 2013, Vol. 14 Issue Suppl 2, p1-9. 9p. 3 Graphs.
Autor:
Knudsen, Bjarne1 bk@birc.dk, Miyamoto, Michael M1 miyamoto@mail.clas.ufl.edu
Publikováno v:
BMC Evolutionary Biology. 2005, Vol. 5, p21-5. 5p. 1 Chart, 7 Graphs.
Autor:
Jorgensen, Jens Baek, Knudsen, Bjarne, Sloth, Lennert, Vase, Johan Rugager, Christensen, Henrik Baerbak
Publikováno v:
2016 13th Working IEEE/IFIP Conference on Software Architecture (WICSA); 2016, p283-286, 4p
Publikováno v:
Gorodkin, J, Knudsen, B, Zwieb, C & Samuelsson, T 2001, ' SRPDB (Signal Recognition Particle Database) ' Nucleic Acids Research, vol. 29, no. 1, pp. 169-170 .
The Signal Recognition Particle Database (SRPDB) at http://psyche.uthct.edu/dbs/SRPDB/SRPDB.html and http://bio.lundberg.gu.se/dbs/SRPDB/SRPDB.html assists in the better understanding of the structure and function of the signal recognition particle (
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::434c8cb30951287f4313a35b10e8a252
https://europepmc.org/articles/PMC165554/
https://europepmc.org/articles/PMC165554/
