Data Import
Import NGS data stored in different file formats such as FASTA, FASTQ,
                            SAM, and BAM files. Read feature annotations from GTF and GFF files. Use
                            various objects to access and manage NGS data. For instance, the
                                BioIndexedFile object lets you efficiently access
                            text files with nonuniform-size entries, such as sequences and
                            annotations. Use the object to access individual entries or a subset of
                            entries when the source file is too big to fit in memory. Use the
                                BioMap and BioRead objects to
                            store and manage sequence read data containing information on headers,
                            qualities, and alignments.
Functions
Objects
| BioRead | Contain sequence reads and their quality data | 
| BioMap | Contain sequence, quality, alignment, and mapping data | 
| BioIndexedFile | Allow quick and efficient access to large text file with nonuniform-size entries | 
| GFFAnnotation | Contain General Feature Format (GFF) annotations | 
| GTFAnnotation | Contain Gene Transfer Format (GTF) annotations | 
Topics
- Work with Next-Generation Sequencing DataUse BioIndexedFileobjects to extract entries from large files using indices or keys, and parse data using custom functions.
- Manage Sequence Read Data in ObjectsUse BioMapandBioReadobjects to access and manage Next-Generation Sequencing (NGS) data from various file formats, such as FASTQ, SAM, and BAM files.
- Store and Manage Feature Annotations in ObjectsUse GTF and GFF feature annotation objects to retrieve feature information from one or more reference sequences. 
- Data Formats and DatabasesAccess online databases and repositories using various MATLAB® functions and import data to the workspace for further analyses. 
- Visualize NGS Data Using Genomics Viewer AppView NGS alignment data for single nucleotide variation in cytochrome p450 gene. 
