5 September 2023
Genes | Highly Cited Papers in 2021–2022 in the Section “Bioinformatics”
You are accessing a machine-readable page. In order to be human-readable, please install an RSS reader.
All articles published by MDPI are made immediately available worldwide under an open access license. No special permission is required to reuse all or part of the article published by MDPI, including figures and tables. For articles published under an open access Creative Common CC BY license, any part of the article may be reused without permission provided that the original article is clearly cited. For more information, please refer to https://www.mdpi.com/openaccess.
Feature papers represent the most advanced research with significant potential for high impact in the field. A Feature Paper should be a substantial original Article that involves several techniques or approaches, provides an outlook for future research directions and describes possible research applications.
Feature papers are submitted upon individual invitation or recommendation by the scientific editors and must receive positive feedback from the reviewers.
Editor’s Choice articles are based on recommendations by the scientific editors of MDPI journals from around the world. Editors select a small number of articles recently published in the journal that they believe will be particularly interesting to readers, or important in the respective research area. The aim is to provide a snapshot of some of the most exciting work published in the various research areas of the journal.
Original Submission Date Received: .
1. “Detection of A-to-I RNA Editing in SARS-COV-2”
by Ernesto Picardi, Luigi Mansi and Graziano Pesole
Genes 2022, 13(1), 41; https://doi.org/10.3390/genes13010041
Available online: https://www.mdpi.com/2073-4425/13/1/41
2. “Pyroptosis Patterns Characterized by Distinct Tumor Microenvironment Infiltration Landscapes in Gastric Cancer”
by Renshen Xiang, Yuhang Ge, Wei Song, Jun Ren, Can Kong and Tao Fu
Genes 2021, 12(10), 1535; https://doi.org/10.3390/genes12101535
Available online: https://www.mdpi.com/2073-4425/12/10/1535
3. “A Novel 3-Gene Signature for Identifying COVID-19 Patients Based on Bioinformatics and Machine Learning”
by Guichuan Lai, Hui Liu, Jielian Deng, Kangjie Li and Biao Xie
Genes 2022, 13(9), 1602; https://doi.org/10.3390/genes13091602
Available online: https://www.mdpi.com/2073-4425/13/9/1602
4. “State of the Art for Microhaplotypes”
by Kenneth K. Kidd and Andrew J. Pakstis
Genes 2022, 13(8), 1322; https://doi.org/10.3390/genes13081322
Available online: https://www.mdpi.com/2073-4425/13/8/1322
5. “Bridging Disciplines to Form a New One: The Emergence of Forensic Genetic Genealogy”
by Claire L. Glynn
Genes 2022, 13(8), 1381; https://doi.org/10.3390/genes13081381
Available online: https://www.mdpi.com/2073-4425/13/8/1381
6. “Genome-Wide Identification and Analysis of the WRKY Gene Family and Cold Stress Response in Acer truncatum”
by Yan Li, Xiang Li, Jiatong Wei, Kewei Cai, Hongzhi Zhang, Lili Ge, Zengjun Ren, Chunli Zhao and Xiyang Zhao
Genes 2021, 12(12), 1867; https://doi.org/10.3390/genes12121867
Available online: https://www.mdpi.com/2073-4425/12/12/1867
7. “Machine Learning and Bioinformatics Framework Integration to Potential Familial DCM-Related Markers Discovery”
by Concetta Schiano, Monica Franzese, Filippo Geraci, Mario Zanfardino, Ciro Maiello, Vittorio Palmieri, Andrea Soricelli, Vincenzo Grimaldi, Enrico Coscioni, Marco Salvatore et al.
Genes 2021, 12(12), 1946; https://doi.org/10.3390/genes12121946
Available online: https://www.mdpi.com/2073-4425/12/12/1946
8. “Genome-Wide Analysis of the MADS-Box Gene Family in Maize: Gene Structure, Evolution, and Relationships”
by Da Zhao, Zheng Chen, Lei Xu, Lijun Zhang and Quan Zou
Genes 2021, 12(12), 1956; https://doi.org/10.3390/genes12121956
Available online: https://www.mdpi.com/2073-4425/12/12/1956
9. “Eye and Hair Color Prediction of Ancient and Second World War Skeletal Remains Using a Forensic PCR-MPS Approach”
by Irena Zupanič Pajnič, Tomaž Zupanc, Tamara Leskovar, Matija Črešnar and Paolo Fattorini
Genes 2022, 13(8), 1432; https://doi.org/10.3390/genes13081432
Available online: https://www.mdpi.com/2073-4425/13/8/1432
10. “Integrated Bioinformatics Analysis Reveals Marker Genes and Potential Therapeutic Targets for Pulmonary Arterial Hypertension”
by Aoqi Li, Jin He, Zhe Zhang, Sibo Jiang, Yun Gao, Yuchun Pan, Huanan Wang and Lenan Zhuang
Genes 2021, 12(9), 1339; https://doi.org/10.3390/genes12091339
Available online: https://www.mdpi.com/2073-4425/12/9/1339