Package 'sequencing'
| Title: |
Introduction to Bioconductor for Sequence Data |
| Description: |
Bioconductor enables the analysis and comprehension of
high- throughput genomic data. We have a vast number of
packages that allow rigorous statistical analysis of large data
while keeping technological artifacts in mind. Bioconductor
helps users place their analytic results into biological
context, with rich opportunities for visualization.
Reproducibility is an important goal in Bioconductor analyses.
Different types of analysis can be carried out using
Bioconductor, for example; Sequencing : RNASeq, ChIPSeq,
variants, copy number etc.; Microarrays: expression, SNP, etc.;
Domain specific analysis : Flow cytometry, Proteomics etc. For
these analyses, one typically imports and works with diverse
sequence-related file types, including fasta, fastq, BAM, gtf,
bed, and wig files, among others. Bioconductor packages support
import, common and advanced sequence manipulation operations
such as trimming, transformation, and alignment including
quality assessment. |
| Authors: |
Sonali Arora [aut],
Martin Morgan [aut],
Bioconductor Package Maintainer [cre] |
| Maintainer: |
Bioconductor Package Maintainer <[email protected]> |
| License: |
Artistic-2.0 |
| Version: |
1.36.0 |
| Built: |
2026-10-04 17:13:12 UTC |
| Source: |
https://github.com/bioc/sequencing |
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