Corrigendum to: Elucidating the Functional Role of Predicted miRNAs in Post-Transcriptional Gene Regulation Along with Symbiosis in Medicago truncatula

Moumita Roy Chowdhury; Jolly Basak; Ranjit Prasad Bahadur

doi:10.2174/1574893621999251105093726

ISSN: 1574-8936
E-ISSN: 2212-392X

HTML

f Corrigendum to: Elucidating the Functional Role of Predicted miRNAs in Post-Transcriptional Gene Regulation Along with Symbiosis in Medicago truncatula
Authors: Moumita Roy Chowdhury¹, Jolly Basak² and Ranjit Prasad Bahadur¹
View Affiliations Hide Affiliations

¹ Computational Structural Biology Lab, Department of Biotechnology, Indian Institute of Technology Kharagpur, Kharagpur-721302, India ; ² Laboratory of Plant Stress Biology, Department of Biotechnology, Visva-Bharati, Santiniketan-731235, India
Source: Current Bioinformatics, Volume 21, Issue 2, Feb 2026, p. 172 - 173
DOI: https://doi.org/10.2174/1574893621999251105093726
- Available online: 05 Nov 2025

There is no abstract available.

Article metrics loading...

/content/journals/cbio/10.2174/1574893621999251105093726

2025-11-05

2026-02-19

From This Site

/content/journals/cbio/10.2174/1574893621999251105093726

dcterms_title,dcterms_subject,pub_keyword

-contentType:Contributor -contentType:Concept -contentType:Institution

10

5

Full text loading...

/deliver/fulltext/cbio/21/2/CBIO-21-2-06.html?itemId=/content/journals/cbio/10.2174/1574893621999251105093726&mimeType=html&fmt=ahah

References

M.R. Chowdhury, J. Basak* and R.P. Bahadur*. Elucidating the Functional Role of Predicted miRNAs in Post-Transcriptional Gene Regulation Along with Symbiosis in Medicago truncatula. Curr. Bioinform.202015210812010.2174/1574893614666191003114202
[Google Scholar]

/content/journals/cbio/10.2174/1574893621999251105093726

Article Type: Correction

Most Cited Most Cited RSS feed

- A Review of Ensemble Methods in Bioinformatics
  
  Authors: Pengyi Yang, Yee Hwa Yang, Bing B. Zhou and Albert Y. Zomaya
- Bioinformatics Tools for Mass Spectroscopy-Based Metabolomic Data Processing and Analysis
  
  Authors: Masahiro Sugimoto, Masato Kawakami, Martin Robert, Tomoyoshi Soga and Masaru Tomita
- Distance-based Support Vector Machine to Predict DNA N6- methyladenine Modification
  
  Authors: Haoyu Zhang, Quan Zou, Ying Ju, Chenggang Song and Dong Chen
- A Review on the Recent Developments of Sequence-based Protein Feature Extraction Methods
  
  Authors: Jun Zhang and Bin Liu
- Molecular Genetic Markers: Discovery, Applications, Data Storage and Visualisation
  
  Authors: Chris Duran, Nikki Appleby, David Edwards and Jacqueline Batley
- A Brief Survey of Machine Learning Methods in Protein Sub-Golgi Localization
  
  Authors: Wuritu Yang, Xiao-Juan Zhu, Jian Huang, Hui Ding and Hao Lin
- Cancer Diagnosis Through IsomiR Expression with Machine Learning Method
  
  Authors: Zhijun Liao, Dapeng Li, Xinrui Wang, Lisheng Li and Quan Zou
- Relevance of Molecular Docking Studies in Drug Designing
  
  Authors: Ritu Jakhar, Mehak Dangi, Alka Khichi and Anil K. Chhillar
- The Advances and Challenges of Deep Learning Application in Biological Big Data Processing
  
  Authors: Li Peng, Manman Peng, Bo Liao, Guohua Huang, Weibiao Li and Dingfeng Xie
- Gene Expression Profile Classification: A Review
  
  Authors: Musa H. Asyali, Dilek Colak, Omer Demirkaya and Mehmet S. Inan
More Less

f Corrigendum to: Elucidating the Functional Role of Predicted miRNAs in Post-Transcriptional Gene Regulation Along with Symbiosis in Medicago truncatula

Most Read This Month

Most Cited Most Cited RSS feed