As sequencing costs decline and an increasing amount of genetic data without reference genome is produced there is a need for new reference-free methods for detecting genetic variation. This thesis defines the biological problem of variant detection, introduces some of the tools previously used for solving the issue, and takes an in-depth look at the new reference-free method DiscoSnp. Several test cases were run to assess the programs performance with different input variables
Copyright © 2012 Santosh Kumar et al. This is an open access article distributed under the Creative ...
AbstractIdentification of single nucleotide polymorphisms (SNPs) is a key element in sequence-based ...
The creation of single nucleotide polymorphism (SNP) databases (such as NCBI dbSNP) has facilitated ...
Detecting single nucleotide polymorphisms (SNPs) between genomes is becoming a routine task with nex...
International audienceBackground / Purpose:Detecting Single Nucleotide Polymorphisms (SNPs) between ...
Next-generation sequencing datasets are becoming more frequent, and their use in population studies ...
The rapid development of high-throughput sequencing technology provides a new chance to extend the s...
Background - Single nucleotide polymorphisms (SNPs) are important tools in studying complex genetic ...
Next generation sequencing (NGS) technologies are being applied to many fields of biology, notably t...
A current trend in biological science is the increased use of computational tools for both the produ...
Single nucleotide polymorphisms (SNPs) are the most common form of human genetic variation, with mil...
Single nucleotide polymorphism (SNP) detection technologies are used to scan for new polymorphisms a...
While data generation has been, and will remain crucial to making scientific discoveries, our abilit...
Abstract Background Single nucleotide polymorphisms (SNPs) are the most abundant type of genetic var...
How genetic mutations such as Single Nucleotide Polymorphisms (SNPs) affect the risk of contracting ...
Copyright © 2012 Santosh Kumar et al. This is an open access article distributed under the Creative ...
AbstractIdentification of single nucleotide polymorphisms (SNPs) is a key element in sequence-based ...
The creation of single nucleotide polymorphism (SNP) databases (such as NCBI dbSNP) has facilitated ...
Detecting single nucleotide polymorphisms (SNPs) between genomes is becoming a routine task with nex...
International audienceBackground / Purpose:Detecting Single Nucleotide Polymorphisms (SNPs) between ...
Next-generation sequencing datasets are becoming more frequent, and their use in population studies ...
The rapid development of high-throughput sequencing technology provides a new chance to extend the s...
Background - Single nucleotide polymorphisms (SNPs) are important tools in studying complex genetic ...
Next generation sequencing (NGS) technologies are being applied to many fields of biology, notably t...
A current trend in biological science is the increased use of computational tools for both the produ...
Single nucleotide polymorphisms (SNPs) are the most common form of human genetic variation, with mil...
Single nucleotide polymorphism (SNP) detection technologies are used to scan for new polymorphisms a...
While data generation has been, and will remain crucial to making scientific discoveries, our abilit...
Abstract Background Single nucleotide polymorphisms (SNPs) are the most abundant type of genetic var...
How genetic mutations such as Single Nucleotide Polymorphisms (SNPs) affect the risk of contracting ...
Copyright © 2012 Santosh Kumar et al. This is an open access article distributed under the Creative ...
AbstractIdentification of single nucleotide polymorphisms (SNPs) is a key element in sequence-based ...
The creation of single nucleotide polymorphism (SNP) databases (such as NCBI dbSNP) has facilitated ...