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  2. Sequence analysis - Wikipedia

    en.wikipedia.org/wiki/Sequence_analysis

    It is the first step in sequence analysis to limit wrong conclusions due to poor quality data. The tools used at this stage depend on the sequencing platform. For instance, FastQC checks the quality of short reads (including RNA sequences), Nanoplot or PycoQC are used for long read sequences (e.g. Nanopore sequence reads), and MultiQC ...

  3. Alignment-free sequence analysis - Wikipedia

    en.wikipedia.org/wiki/Alignment-free_sequence...

    Alignment-free methods can broadly be classified into five categories: a) methods based on k-mer/word frequency, b) methods based on the length of common substrings, c) methods based on the number of (spaced) word matches, d) methods based on micro-alignments, e) methods based on information theory and f) methods based on graphical representation.

  4. List of RNA-Seq bioinformatics tools - Wikipedia

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

    The main focus of the implementation is on usability and to incorporate read trimming in next-generation sequencing data processing and analysis pipelines. It can process single-end and paired-end sequencing data of arbitrary length. cutadapt [25] removes adapter sequences from next-generation sequencing data (Illumina, SOLiD and 454). It is ...

  5. Nanopore sequencing - Wikipedia

    en.wikipedia.org/wiki/Nanopore_sequencing

    The next proposed step is to bind an exonuclease onto the αHL pore. The enzyme would periodically cleave single bases, enabling the pore to identify successive bases. Coupling an exonuclease to the biological pore would slow the translocation of the DNA through the pore, and increase the accuracy of data acquisition.

  6. Sequence assembly - Wikipedia

    en.wikipedia.org/wiki/Sequence_assembly

    In bioinformatics, sequence assembly refers to aligning and merging fragments from a longer DNA sequence in order to reconstruct the original sequence. [1] This is needed as DNA sequencing technology might not be able to 'read' whole genomes in one go, but rather reads small pieces of between 20 and 30,000 bases, depending on the technology used. [1]

  7. ABI Solid Sequencing - Wikipedia

    en.wikipedia.org/wiki/ABI_Solid_Sequencing

    Naturally the technology will be used to sequence DNA, but because of the high parallel nature of all next generation technologies they also have applications in transcriptomics and epigenomics. Microarrays was once the mainstay of the transcriptomics the last ten years and array based technology has subsequently branched out to other areas.

  8. DNA annotation - Wikipedia

    en.wikipedia.org/wiki/DNA_annotation

    In molecular biology and genetics, DNA annotation or genome annotation is the process of describing the structure and function of the components of a genome, [2] by analyzing and interpreting them in order to extract their biological significance and understand the biological processes in which they participate. [3]

  9. Massively parallel signature sequencing - Wikipedia

    en.wikipedia.org/wiki/Massively_parallel...

    After several rounds of sequence determination, using hybridization of fluorescent labeled probes, a sequence signature of ~16–20 bp is determined from each bead. Fluorescent imaging captures the signal from all of the beads, while affixed to a 2-dimensional surface, so DNA sequences are determined from all the beads in parallel.