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Showing posts with label Next generation sequencing. Show all posts
Showing posts with label Next generation sequencing. Show all posts

Monday, November 21, 2011

Targeted sequencing; The question is "where?"


[please click on the comic for higher resolution]

Targeting specific regions rather than doing whole genome sequencing my be an advantage. We may have more coverage by focusing reads on our area of interest.



Thursday, September 1, 2011

Before starting sequencing...may the force be with you!


Before starting sequencing, before analyzing enormous data..be the force with you guys! :)


The expression "May the Force be with you" has achieved cult status and is symbolic of the Star Wars legacy. The line has been said by at least one character in each of the Star Wars movies. [Wikipedia]

Wednesday, May 18, 2011

Collateral damage of next generation sequencing


Thanks to Dr. Ece Gamsiz for the cartoon idea!

Collateral damage of next generation sequencing is causing enormous data accumulation which affects :P computational biologists and bioinformaticians.


Biological data production is in terabytes and increasing everyday.



Tuesday, May 3, 2011

Deep sequencing?...Does it hurt?





Info for non-science readers:
SNPs are one of the most common types of genetic variation. A SNP is a single base pair mutation at a specific locus, usually consisting of two alleles (where the rare allele frequency is >1%). SNPs are found to be the etiology of many human diseases.
SNP genotyping is the measurement of genetic variations of single nucleotide polymorphisms (SNPs) between members of a species. It is a form of genotyping, the measurement of the genetic variation more generally.
Exome sequencing is an efficient strategy to selectively sequence the coding regions of the human genome to identify novel genes associated with rare and common disorders.
RNA-seq is a revolutionary tool for transcriptomics refers to the use of high-throughput sequencing technologies to sequence cDNA in order to get information about a sample's RNA content, a technique that is quickly becoming invaluable in the study of diseases like cancer.
[Wikipedia]