About this Research Topic
“A Year in Review: Discussions in Computational Genomics” is part of a wider series of Research Topics across Frontiers in Genetics, hosted by our Specialty Chief Editors and esteemed Associate Editors.
This Research Topic aims to spark discussion around some of the most developing areas in the Computational Genomics field including spatial transcriptomic data, data processing methods and machine learning models in diseases, computational methods in drug target prioritization, and metagenomic studies. This field is continuously evolving; therefore, we are seeking to understand developments and perspectives on themes represented by the articles that have attracted attention throughout the year.
The chosen manuscripts are:
• Analysis and Visualization of Spatial Transcriptomic Data
• Hsa-miR-557 Inhibits Osteosarcoma Growth Through Targeting KRAS
• MEDUSA: A Pipeline for Sensitive Taxonomic Classification and Flexible Functional Annotation of Metagenomic Shotgun Sequences
• Benchmark of Data Processing Methods and Machine Learning Models for Gut Microbiome-Based Diagnosis of Inflammatory Bowel Disease
• StarGazer: A Hybrid Intelligence Platform for Drug Target Prioritization and Digital Drug Repositioning Using Streamlit
• Human Immune System Diseasome Networks and Female Oviductal Microenvironment: New Horizons to be Discovered
We welcome Opinions, Perspectives, Hypotheses and Theories, Mini-Review articles or Original Research on themes such as:
- Spatial Transcriptomics Data
- Data Processing Methods and Machine Learning Models in Diseases
- Computational Methods in Drug Target Prioritization
- Metagenomic studies
This Research Topic aims to spark discussion around some of the most developing areas in the Computational Genomics field including spatial transcriptomic data, data processing methods and machine learning models in diseases, computational methods in drug target prioritization, and metagenomic studies. This field is continuously evolving; therefore, we are seeking to understand developments and perspectives on themes represented by the articles that have attracted attention throughout the year.
The chosen manuscripts are:
• Analysis and Visualization of Spatial Transcriptomic Data
• Hsa-miR-557 Inhibits Osteosarcoma Growth Through Targeting KRAS
• MEDUSA: A Pipeline for Sensitive Taxonomic Classification and Flexible Functional Annotation of Metagenomic Shotgun Sequences
• Benchmark of Data Processing Methods and Machine Learning Models for Gut Microbiome-Based Diagnosis of Inflammatory Bowel Disease
• StarGazer: A Hybrid Intelligence Platform for Drug Target Prioritization and Digital Drug Repositioning Using Streamlit
• Human Immune System Diseasome Networks and Female Oviductal Microenvironment: New Horizons to be Discovered
We welcome Opinions, Perspectives, Hypotheses and Theories, Mini-Review articles or Original Research on themes such as:
- Spatial Transcriptomics Data
- Data Processing Methods and Machine Learning Models in Diseases
- Computational Methods in Drug Target Prioritization
- Metagenomic studies
Keywords: Spatial Transcriptomics Data Data Processing Methods and Machine Learning Models in Diseases Computational Methods in Drug Target Prioritization Metagenomic studies
Important Note: All contributions to this Research Topic must be within the scope of the section and journal to which they are submitted, as defined in their mission statements. Frontiers reserves the right to guide an out-of-scope manuscript to a more suitable section or journal at any stage of peer review.
