Evolution of Sequencing technologies!!

With the advancements in Sanger sequencing continuing, it has become an absolute key to enigmatic method in identification of closed closets in the gene pool. The major drawback even with the advance Sanger sequencers was the cost per base and problems related to cloning and sequencing of regions containing repetitive sequences. But with the advancement in molecular genetics, new age sequencing was due to come. Also the Human Genome Project made a tremendous financial impact on research community creating an urge-urgent need for alternative high throughput methods of sequencing. Thus the idea of massively parallel sequencing came into existence using which short strands of genetic material can be sequenced over recurring multiples Thus higher number of amplicon’s generated provides exponentially larger dataset for analysis. Eventually Next Generation Sequencing (NGS) technology has opened an entire spectrum of genomic alterations for the genetic analysis of complex traits.

Number of technologies offering a better faster and more accurate sequencing has come up thereby drastically decreasing the cost of sequencing. Techniques such as AB SOLiD, Illumina Solexa Genome Analyzer, Roche 454 have now become common place. Advancements in sequencing technologies accelerate the rate of deep research making the core data available for understanding the concepts of identity. With the evolution in Sanger sequencing technology more of sequencing studies began. Thus the need of faster sequencing methods became requisite.

The following table gives a summary and the comparison of the next generation sequencing methods along with sanger method. It also states the applications of these sequencing techniques. By looking at the table one can get a fair idea the benefits the NGS methods have in sequencing the genomic data.

Mechanism, Advantages, Disadvantages

Sequencer/ Attributes Roche 454 Illumina AB SOLiD v4 Sanger method
Sequencing mechanism Pyrosequencing Sequencing by synthesis with reversible termination Ligation and two base coding Dideoxy chain termination
Read Length 700bp 50SE, 50PE, 101PE 50+35bp, 50+50bp 400~900bp
Accuracy 99.9% 98% (100PE) 99.94% (Raw data) 99.999%
Reads 1M 3G 1200-1400M
Output data/ run 0.7 Gb (700Mb) 600Gb 120Gb 1.8~84Kb
Time/ run 24 hrs 3~10 days

7 days- SE

14 days- PE

20mins~ 3hrs
Advantage Read length, fast High throughput Accuracy High quality, long read length
Disadvantage Error base with polybase more than 6 Short read assembly Short read assembly High cost low throughput

Application of sequencers

Resequencing Yes Yes
De novo Yes Yes Yes
Cancer Yes Yes Yes
Array Yes Yes Yes Yes
High GC sample Yes Yes Yes
Bacterial Yes Yes Yes
Large genome Yes Yes
Mutation detection Yes Yes Yes Yes

You can also check out our more about our bioinformatics course and research services related to Bioinformatics.

rasa

Recent Posts

Unlocking the Secrets of Molecular Evolution with Modeltest 3.7

Unlocking the Secrets of Molecular Evolution with Modeltest 3.7 Modeltest is a software tool for…

1 year ago

Accelerating Vaccine Development with Insilico Techniques

Vaccines have been one of the most effective tools in the fight against infectious diseases,…

1 year ago

Genome annotation

DNA annotation or genome annotation identifies genes and all of the coding regions in a…

1 year ago

Primer designing by Primer-Blast

Primer Designing By Primer Blast Primers serve a crucial function in identifying the target area…

1 year ago