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  2. Pileup format - Wikipedia

    en.wikipedia.org/wiki/Pileup_format

    Pileup format is a text-based format for summarizing the base calls of aligned reads to a reference sequence. This format facilitates visual display of SNP/indel calling and alignment.

  3. Single-nucleotide polymorphism - Wikipedia

    en.wikipedia.org/wiki/Single-nucleotide_polymorphism

    The upper DNA molecule differs from the lower DNA molecule at a single base-pair location (a G/A polymorphism) In genetics and bioinformatics, a single-nucleotide polymorphism (SNP / s n ɪ p /; plural SNPs / s n ɪ p s /) is a germline substitution of a single nucleotide at a specific position in the genome.

  4. SNP array - Wikipedia

    en.wikipedia.org/wiki/SNP_array

    A SNP array can also be used to generate a virtual karyotype using software to determine the copy number of each SNP on the array and then align the SNPs in chromosomal order. [10] SNPs can also be used to study genetic abnormalities in cancer. For example, SNP arrays can be used to study loss of heterozygosity (LOH). LOH occurs when one allele ...

  5. List of RNA-Seq bioinformatics tools - Wikipedia

    en.wikipedia.org/wiki/List_of_RNA-Seq...

    fastqp Simple FASTQ quality assessment using Python. Kraken: [9] A set of tools for quality control and analysis of high-throughput sequence data. HTSeq [10] The Python script htseq-qa takes a file with sequencing reads (either raw or aligned reads) and produces a PDF file with useful plots to assess the technical quality of a run.

  6. SNP annotation - Wikipedia

    en.wikipedia.org/wiki/SNP_annotation

    Directed graph of relationships among SNP prediction webservers and their bioinformatics sources. [2] Single nucleotide polymorphisms (SNPs) play an important role in genome wide association studies because they act as primary biomarkers. SNPs are currently the marker of choice due to their large numbers in virtually all populations of

  7. Sequence analysis - Wikipedia

    en.wikipedia.org/wiki/Sequence_analysis

    The output of gene expression analysis is typically a table with values representing the expression levels of gene IDs or names in rows and samples in the columns as well as standard errors and p-values. The results in the table can be further visualized using volcano plots and heatmaps, where colors represent the estimated expression level.

  8. SNV calling from NGS data - Wikipedia

    en.wikipedia.org/wiki/SNV_calling_from_NGS_data

    The calculation of prior probabilities depends on available data from the genome being studied, and the type of analysis being performed. For studies where good reference data containing frequencies of known mutations is available (for example, in studying human genome data), these known frequencies of genotypes in the population can be used to estimate priors.

  9. List of sequence alignment software - Wikipedia

    en.wikipedia.org/wiki/List_of_sequence_alignment...

    Indexes the genome with periodic seeds to quickly find alignments with full sensitivity up to four mismatches. It can map Illumina and SOLiD reads. Unlike most mapping programs, speed increases for longer read lengths. Yes Free, GPL [49] PRIMEX Indexes the genome with a k-mer lookup table with full sensitivity up to an adjustable number of ...

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