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BamBam: genome sequence analysis tools for biologists
by
Huynh, Mark D
, Udall, Joshua A
, Liechty, Zachary S
, Page, Justin T
in
Algorithms
/ Analysis
/ Base Sequence
/ Bioinformatics
/ Biomedical and Life Sciences
/ Biomedicine
/ Cluster Analysis
/ DNA Copy Number Variations - genetics
/ Dynamic programming
/ Gene expression
/ Genome
/ Genomes
/ Genomics
/ Genomics - methods
/ Genotype & phenotype
/ Graduate students
/ Haplotypes
/ Life Sciences
/ Medicine/Public Health
/ Methylation
/ Molecular Sequence Data
/ Programming languages
/ Scripts
/ Seeds
/ Sequence Analysis, DNA
/ Software
/ Sulfites
/ Technical Note
2014
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BamBam: genome sequence analysis tools for biologists
by
Huynh, Mark D
, Udall, Joshua A
, Liechty, Zachary S
, Page, Justin T
in
Algorithms
/ Analysis
/ Base Sequence
/ Bioinformatics
/ Biomedical and Life Sciences
/ Biomedicine
/ Cluster Analysis
/ DNA Copy Number Variations - genetics
/ Dynamic programming
/ Gene expression
/ Genome
/ Genomes
/ Genomics
/ Genomics - methods
/ Genotype & phenotype
/ Graduate students
/ Haplotypes
/ Life Sciences
/ Medicine/Public Health
/ Methylation
/ Molecular Sequence Data
/ Programming languages
/ Scripts
/ Seeds
/ Sequence Analysis, DNA
/ Software
/ Sulfites
/ Technical Note
2014
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While trying to remove the title from your shelf something went wrong :( Kindly try again later!
Do you wish to request the book?
BamBam: genome sequence analysis tools for biologists
by
Huynh, Mark D
, Udall, Joshua A
, Liechty, Zachary S
, Page, Justin T
in
Algorithms
/ Analysis
/ Base Sequence
/ Bioinformatics
/ Biomedical and Life Sciences
/ Biomedicine
/ Cluster Analysis
/ DNA Copy Number Variations - genetics
/ Dynamic programming
/ Gene expression
/ Genome
/ Genomes
/ Genomics
/ Genomics - methods
/ Genotype & phenotype
/ Graduate students
/ Haplotypes
/ Life Sciences
/ Medicine/Public Health
/ Methylation
/ Molecular Sequence Data
/ Programming languages
/ Scripts
/ Seeds
/ Sequence Analysis, DNA
/ Software
/ Sulfites
/ Technical Note
2014
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Journal Article
BamBam: genome sequence analysis tools for biologists
2014
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Overview
Background
Massive computational power is needed to analyze the genomic data produced by next-generation sequencing, but extensive computational experience and specific knowledge of algorithms should not be necessary to run genomic analyses or interpret their results.
Findings
We present BamBam, a package of tools for genome sequence analysis. BamBam contains tools that facilitate summarizing data from BAM alignment files and identifying features such as SNPs, indels, and haplotypes represented in those alignments.
Conclusions
BamBam provides a powerful and convenient framework to analyze genome sequence data contained in BAM files.
Publisher
BioMed Central,BioMed Central Ltd,Springer Nature B.V
Subject
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