14 December 2022
Genes | Top 10 Cited Papers in 2020–2021 in the Section “Technologies and Resources for Genetics”
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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.
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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. “Genetic Modifiers and Rare Mendelian Disease”
by K. M. Tahsin Hassan Rahit and Maja Tarailo-Graovac
Genes 2020, 11(3), 239; https://doi.org/10.3390/genes11030239
Full text available online: https://www.mdpi.com/2073-4425/11/3/239
2. “Rapid Direct Nucleic Acid Amplification Test without RNA Extraction for SARS-CoV-2 Using a Portable PCR Thermocycler”
by Soon Keong Wee, Suppiah Paramalingam Sivalingam and Eric Peng Huat Yap
Genes 2020, 11(6), 664; https://doi.org/10.3390/genes11060664
Full text available online: https://www.mdpi.com/2073-4425/11/6/664
3. “Relative Abundance of SARS-CoV-2 Entry Genes in the Enterocytes of the Lower Gastrointestinal Tract”
by Jaewon J. Lee, Scott Kopetz, Eduardo Vilar, John Paul Shen, Ken Chen and Anirban Maitra
Genes 2020, 11(6), 645; https://doi.org/10.3390/genes11060645
Full text available online: https://www.mdpi.com/2073-4425/11/6/645
4. “Whole Genome Sequencing of SARS-CoV-2: Adapting Illumina Protocols for Quick and Accurate Outbreak Investigation during a Pandemic”
by Sureshnee Pillay, Jennifer Giandhari, Houriiyah Tegally, Eduan Wilkinson, Benjamin Chimukangara, Richard Lessells, Yunus Moosa, Stacey Mattison, Inbal Gazy, Maryam Fish et al.
Genes 2020, 11(8), 949; https://doi.org/10.3390/genes11080949
Full text available online: https://www.mdpi.com/2073-4425/11/8/949
5. “mRNAsi Index: Machine Learning in Mining Lung Adenocarcinoma Stem Cell Biomarkers”
by Yitong Zhang, Joseph Ta-Chien Tseng, I-Chia Lien, Fenglan Li, Wei Wu and Hui Li
Genes 2020, 11(3), 257; https://doi.org/10.3390/genes11030257
Full text available online: https://www.mdpi.com/2073-4425/11/3/257
6. “Standards for Methods Utilizing Environmental DNA for Detection of Fish Species”
by Lu Shu, Arne Ludwig and Zuogang Peng
Genes 2020, 11(3), 296; https://doi.org/10.3390/genes11030296
Full text available online: https://www.mdpi.com/2073-4425/11/3/296
7. “Analytical Sensitivity and Specificity of Two RT-qPCR Protocols for SARS-CoV-2 Detection Performed in an Automated Workflow”
by Gustavo Barcelos Barra, Ticiane Henriques Santa Rita, Pedro Góes Mesquita, Rafael Henriques Jácomo and Lídia Freire Abdalla Nery
Genes 2020, 11(10), 1183; https://doi.org/10.3390/genes11101183
Full text available online: https://www.mdpi.com/2073-4425/11/10/1183
8. “Delivery Approaches for Therapeutic Genome Editing and Challenges”
by Ilayda Ates, Tanner Rathbone, Callie Stuart, P. Hudson Bridges and Renee N. Cottle
Genes 2020, 11(10), 1113; https://doi.org/10.3390/genes11101113
Full text available online: https://www.mdpi.com/2073-4425/11/10/1113
9. “An Improved Phenotype-Driven Tool for Rare Mendelian Variant Prioritization: Benchmarking Exomiser on Real Patient Whole-Exome Data”
by Valentina Cipriani, Nikolas Pontikos, Gavin Arno, Panagiotis I. Sergouniotis, Eva Lenassi, Penpitcha Thawong, Daniel Danis, Michel Michaelides, Andrew R. Webster, Anthony T. Moore et al.
Genes 2020, 11(4), 460; https://doi.org/10.3390/genes11040460
Full text available online: https://www.mdpi.com/2073-4425/11/4/460
10. “DNA6mA-MINT: DNA-6mA Modification Identification Neural Tool”
by Mobeen Ur Rehman and Kil To Chong
Genes 2020, 11(8), 898; https://doi.org/10.3390/genes11080898
Full text available online: https://www.mdpi.com/2073-4425/11/8/898