Editing Portal:Life Sciences (section)

=== Decline from dominance ===

Perl’s leading role in bioinformatics declined over time. Python, R, Bioconductor, Java, workflow engines, notebooks, and specialized command-line ecosystems became more prominent. New generations of researchers learned Python and R first. Many machine-learning and statistical genomics tools were written for Python or R rather than Perl.

Several factors contributed to this shift:

* Python became popular for teaching scientific programming;
* R and Bioconductor became dominant in statistical genomics;
* Jupyter notebooks changed interactive analysis habits;
* modern machine learning centered on Python;
* workflow systems such as Snakemake, Nextflow, CWL, and WDL changed pipeline development;
* many older Perl modules became maintenance-heavy;
* fewer new bioinformatics students were trained in Perl.

This decline should not erase Perl’s historical role. Many older pipelines, genome-center tools, and database interfaces continued to use Perl. Ensembl’s Perl API remained important. BioPerl remained a major historical and practical toolkit. Perl also remained useful for maintaining legacy pipelines, parsing difficult files, and integrating older systems with newer tools.