Current Challenges in Bioinformatics of Single Cell Genomics

Frontiers in Oncology

Guibo eLi¹  Yong eHou¹  Geng eLiu¹  Yin eTong²  Luwen eNing²  Jiankui eHe² 

[1] BGI-Shenzhen;South University of Science and Technology of China;

关键词: SNP;    DNA SEQUENCING;    CNV;    single cell analysis;    RNA sequencing;   

DOI  :  10.3389/fonc.2014.00007

来源: DOAJ

【 摘 要 】

Single cell genomics is a rapidly growing field with many new techniques emerging in the past few years. However, few bioinformatics tools specific for single cell genomics analysis are available. Single cell DNA/RNA sequencing data usually have low genome coverage and high amplification bias, which makes bioinformatics analysis challenging. Many current bioinformatics tools developed for bulk cell sequencing do not work well with single cell sequencing data. Here, we summarize current challenges in the bioinformatics analysis of single cell genomic DNA sequencing and single cell transcriptomes. These challenges include calling copy number variations, identifying mutated genes in tumor samples, reconstructing cell lineages, recovering low abundant transcripts, and improving the accuracy of quantitative analysis of transcripts. Development in single cell genomics bioinformatics analysis will promote the application of this technology to basic biology and medical research.

【 授权许可】

Unknown