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.
Categories
- 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 sequences
- Statistical Analysis
Read summarization and statistical analyses on RNA-seq and ChIP-seq data
- Visualization
Visualize alignment of reads to reference sequences