Currently available assembler, such as Velvet, String Graph Assembler (SGA) and EULER-SR, were not designed to handle SCS assembly. Furthermore, it has been recognized that the challenges facing SCS are computational rather than experimental. It was demonstrated that using multiple annealing and looping-based amplification cycles ( MALBAC) for DNA amplification generates less biasness compared to polymerase chain reaction ( PCR) or multiple displacement amplification (MDA). To maximize the accuracy and quality of SCS, a uniform DNA amplification is needed. For instance, amplification of DNA extracted from a single cell is one of the experimental challenges. Įxperimental and computational technologies are being optimized to allow researchers to sequence single cells. The problem of averaging out the significant variations between cells can be overcome by using SCS. SCS has an advantage over sequencing DNA extracted from large number of cells. Additionally, many projects such as Human Microbiome Project and antibiotics discovery would greatly benefit from Single-cell sequencing (SCS). Studying the genome of single cells will help to track changes that occur in DNA over time or associated with exposure to different conditions.
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