Documentation

This is machine translation

Translated by Microsoft
Mouseover text to see original. Click the button below to return to the English verison of the page.

Note: This page has been translated by MathWorks. Please click here
To view all translated materals including this page, select Japan from the country navigator on the bottom of this page.

High-Throughput Sequencing

Gene expression, transcription factor, and methylation analysis of Next-Generation Sequencing (NGS) data, including RNA-Seq and ChIP-Seq

High-throughput sequencing methods generate large amounts of sequence data and require robust computational tools for further analysis. Bioinformatics Toolbox™ provides algorithms to support common analysis workflows for Next-Generation Sequencing (NGS) data, such as filtering and trimming reads, mapping reads to references, counting the number of reads mapped to genomic features, and performing statistical analyses.

  • Data Import
    Import Next-Generation Sequencing (NGS) data and feature annotations from SAM, BAM, FASTA, FASTQ, GTF, and GFF files
  • Preprocessing
    Manage NGS data with single- and paired-end reads, filter and trim reads, and display quality statistics
  • Alignment
    Map reads to reference sequence(s)
  • Statistical Analysis
    Read summarization and statistical analyses on RNA-seq and ChIP-seq data
  • Visualization
    Visualize alignment of reads to reference sequences

Featured Examples

Was this topic helpful?