• High-accuracy quantitative principle of a new compact digital PCR equipment: Lab On An Array

• Lee Ha-Eun

• Lee Cherl-Joon, Kim Dong-Hee, Cho Chun-Sung, Shin Won-Seok, Han Kyu-Dong

• Genomics & Informatics   2021  Volume.19  No.3 34 ~ 34

• Chromosome-specific polymorphic SSR markers in tropical eucalypt species using low coverage whole ge...

• Patturaj Maheswari

• Munusamy Aiswarya, Kannan Nithishkumar, Kandasamy Ulaganathan, Ramasamy Yasodha

• Genomics & Informatics   2021  Volume.19  No.3 33 ~ 33

• Draft genome of Semisulcospira libertina, a species of freshwater snail

• Gim Jeong-An

• Baek Kyung-Wan, Hah Young-Sool, Choo Ho-Jin, Kim Ji-Seok, Yoo Jun-Il

• Genomics & Informatics   2021  Volume.19  No.3 32 ~ 32

• Comparative genome characterization of Leptospira interrogans from mild and severe leptospirosis pat...

• Anuntakarun Songtham

• Sawaswong Vorthon, Jitvaropas Rungrat, Praianantathavorn Kesmanee, Poomipak Witthaya, Suputtamongkol...

• Genomics & Informatics   2021  Volume.19  No.3 31 ~ 31

• Rapid and sensitive detection of Salmonella species targeting the hilA gene using a loop-mediated is...

• Chu Ji-Yon

• Shin Ju-Youn, Kang Shin-Seok, Shin Sun, Chung Yeun-Jun

• Genomics & Informatics   2021  Volume.19  No.3 30 ~ 30

• Molecular insights into the role of genetic determinants of congenital hypothyroidism

• Kollati Yedukondalu

• Akella Radha Rama Devi, Naushad Shaik Mohammad, Patel Rajesh K., Reddy G. Bhanuprakash, Dirisala Vij...

• Genomics & Informatics   2021  Volume.19  No.3 29 ~ 29

• Visualizing the phenotype diversity: a case study of Alexander disease

• Dohi Eisuke

• Bangash Ali Haider

• Genomics & Informatics   2021  Volume.19  No.3 28 ~ 28

• OryzaGP 2021 update: a rice gene and protein dataset for named-entity recognition

• Larmande Pierre

• Liu Yusha, Yao Xinzhi, Xia Jingbo

• Genomics & Informatics   2021  Volume.19  No.3 27 ~ 27

• O-JMeSH: creating a bilingual English-Japanese controlled vocabulary of MeSH UIDs through machine tr...

• Soares Felipe

• Tateisi Yuka, Takatsuki Terue, Yamaguchi Atsuko

• Genomics & Informatics   2021  Volume.19  No.3 26 ~ 26

• Constructing Japanese MeSH term dictionaries related to the COVID-19 literature

• Yamaguchi Atsuko

• Takatsuki Terue, Tateisi Yuka, Soares Felipe

• Genomics & Informatics   2021  Volume.19  No.3 25 ~ 25

• COVID-19 recommender system based on an annotated multilingual corpus

• Barros Marcia

• Ruas Pedro, Sousa Diana, Bangash Ali Haider, Couto Francisco M.

• Genomics & Informatics   2021  Volume.19  No.3 24 ~ 24

• LitCovid-AGAC: cellular and molecular level annotation data set based on COVID-19

• Ouyang Sizhuo

• Wang Yuxing, Zhou Kaiyin, Xia Jingbo

• Genomics & Informatics   2021  Volume.19  No.3 23 ~ 23

• Improving classification of low-resource COVID-19 literature by using Named Entity Recognition

• Lithgow-Serrano Oscar

• Cornelius Joseph, Kanjirangat Vani, Mendez-Cruz Carlos-Francisco, Rinaldi Fabio

• Genomics & Informatics   2021  Volume.19  No.3 22 ~ 22

• A biomedically oriented automatically annotated Twitter COVID-19 dataset

• Hernandez Luis Alberto Robles

• Callahan Tiffany J., Banda Juan M.

• Genomics & Informatics   2021  Volume.19  No.3 21 ~ 21

• Editor¡¯s introduction to the special section on the 7th Biomedical Linked Annotation Hackathon (BLA...

• Kim Jin-Dong

• Cohen Kevin Bretonnel, Rinaldi Fabio, Lu Zhiyong, Park Hyun-Seok

• Genomics & Informatics   2021  Volume.19  No.3 20 ~ 20