Next-Generation Sequencing for Clinical Application
A special issue of International Journal of Molecular Sciences (ISSN 1422-0067). This special issue belongs to the section "Biochemistry".
Deadline for manuscript submissions: closed (31 December 2016) | Viewed by 138663
Special Issue Editor
Interests: cancer biomarker; evidence-based medicine; extracellular vesicles; genomics; microRNA; molecular diagnostics; non-coding RNAs; nasopharyngeal carcinoma; next-generation sequencing; non-small cell lung cancer; proteomics; drug repurposing and bioinformatics
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Special Issue Information
Dear Colleagues,
After Sanger sequencing, next-generation sequencing has emerged as a powerful tool to uncover the “submerged portion of the iceberg” in various diseases. Many rare and new mutations have been discovered using deep sequencing, which enrich our understanding in clinical genomics. Indeed, there are various high-throughput sequencing platforms available on the market, with sophisticated bioinformatic analysis to reveal the complexity of diseases and living species. We would like to call upon high quality work on this important tool to shape our current understanding and the management of various diseases.
In this Special Issue, we particularly focus on how next-generation sequencing offers solutions to clinical applications, and how can this eventually provide accurate diagnosis and prescription of the right drug and the right treatment to the right patient.
Original papers and review articles that focus on the latest advances of next-generation sequencing are welcomed. The following key areas are covered, but not exclusive:
- New advances in next-generation sequencing
- New diagnoses using next-generation sequencing
- The 1000 genomes project and the international HapMap consortium
- Application of next-generation sequencing for precision medicine
- Next-generation sequencing for tackling the emerging diseases
- Identification of targetable kinase alterations in cancer patients
- Uncovering the disease pathogenesis and drug resistance by next-generation sequencing
- Application of next-generation sequencing to decipher disease contour
- Data analysis in next-generation sequencing
- Bioinformatics in next-generation sequencing
Dr. William Chi-shing Cho
Guest Editor
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