| Makale Türü | Özgün Makale (SSCI, AHCI, SCI, SCI-Exp dergilerinde yayınlanan tam makale) | ||
| Dergi Adı | Journal of Bioinformatics and Computational Biology (Q4) | ||
| Dergi ISSN | 0219-7200 Wos Dergi Scopus Dergi | ||
| Dergi Tarandığı Indeksler | SCI-Expanded | ||
| Makale Dili | Türkçe | Basım Tarihi | 06-2023 |
| Kabul Tarihi | – | Yayınlanma Tarihi | 01-06-2023 |
| Cilt / Sayı / Sayfa | 21 / 3 / 2350015–0 | DOI | 10.1142/S0219720023500154 |
| Makale Linki | http://dx.doi.org/10.1142/s0219720023500154 | ||
| Özet |
| Expansins, which are plant cell wall loosening proteins associated with cell growth, have been identified as a multigene family. Plant expansin proteins are an important family that functions in cell growth and many of developmental processes including wall relaxation, fruit softening, abscission, seed germination, mycorrhiza and root nodule formation, biotic and abiotic stress resistance, invasion of pollen tube stigma and organogenesis. In addition, it is thought that increasing the efficiency of plant expansin genes in plants plays a significant role, especially in the production of secondary bioethanol. When the studies on the expansin genes are examined, it is seen that the expansin genes are a significant gene family in the cell wall expansion mechanism. Therefore, understanding the efficacy of expansin genes is of great importance. Considering the importance of this multigene family, we aimed to create a … |
| Anahtar Kelimeler |
| bioinformatics | blast | characterization | deep learning | Expansin gene family | plants |
| Atıf Sayıları | |
| Web of Science | 11 |
| Scopus | 13 |
| Google Scholar | 14 |
| Dergi Adı | Journal of Bioinformatics and Computational Biology |
| Yayıncı | World Scientific |
| Açık Erişim | Hayır |
| ISSN | 0219-7200 |
| E-ISSN | 1757-6334 |
| CiteScore | 2,0 |
| SJR | 0,234 |
| SNIP | 0,270 |