Login
Register
Reset Password
Publish & Distribute
Publishing Solutions
Distribution Solutions
Subjects
Architecture and Design
Arts
Business and Economics
Chemistry
Classical and Ancient Near Eastern Studies
Computer Sciences
Cultural Studies
Engineering
General Interest
Geosciences
History
Industrial Chemistry
Jewish Studies
Law
Library and Information Science, Book Studies
Life Sciences
Linguistics and Semiotics
Literary Studies
Materials Sciences
Mathematics
Medicine
Music
Pharmacy
Philosophy
Physics
Social Sciences
Sports and Recreation
Theology and Religion
Publications
Journals
Books
Proceedings
Publishers
Blog
Contact
Search
EUR
USD
GBP
English
English
Deutsch
Polski
Español
Français
Italiano
Cart
Home
Journals
Silvae Genetica
Volume 70 (2021): Issue 1 (January 2021)
Open Access
Genome-wide bioinformatics analysis revealed putative substrate specificities of SABATH and MES family members in silver birch (
Betula pendula
)
Kiran Singewar
Kiran Singewar
,
Christian R. Moschner
Christian R. Moschner
,
Eberhard Hartung
Eberhard Hartung
and
Matthias Fladung
Matthias Fladung
| Apr 06, 2021
Silvae Genetica
Volume 70 (2021): Issue 1 (January 2021)
About this article
Previous Article
Next Article
Abstract
References
Related Materials
Authors
Articles in this Issue
Preview
PDF
Cite
Share
Published Online:
Apr 06, 2021
Page range:
57 - 74
DOI:
https://doi.org/10.2478/sg-2021-0005
Keywords
Birch
,
Bioinformatics
,
SABATH
,
MES
,
Phylogeny
,
Substrate prediction
© 2021 Kiran Singewar et al., published by Sciendo
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.
Kiran Singewar
Institute of Agricultural Process Engineering Christian-Albrechts University of Kiel
Germany
Thünen-Institute of Forest Genetics
Germany
Christian R. Moschner
Institute of Agricultural Process Engineering Christian-Albrechts University of Kiel
Germany
Eberhard Hartung
Institute of Agricultural Process Engineering Christian-Albrechts University of Kiel
Germany
Matthias Fladung
Thünen-Institute of Forest Genetics
Germany