The Bioinformatics Software & Database Directory

Raw high-throughput sequencing data requires stringent quality profiling, adapter clipping, low-quality tail trimming, and artifact filtering prior to downstream alignment.

Mapping raw reads to reference genomes or transcriptomes across short-read (BWA-MEM2, Bowtie2, STAR) and long-read (minimap2, pbmm2) modalities.

De novo haplotype assembly, deep convolutional pileup imaging, Bayesian population calling, subclonal tumor-normal calling, and structural variation discovery.

Transcript consequence mapping, deep learning structural missense prediction, non-canonical splice disruption, ACMG/AMP rules-based classification, and precision oncology evidence tiers.

Transcript-level abundance quantification, gene count matrix generation, differential expression modeling, alternate splicing resolution, and pathway network enrichment.

Resolving cellular heterogeneity at single-cell and spatial resolution: UMI deduplication, dimension reduction, batch integration, RNA velocity, and deep generative foundation models.

Open chromatin accessibility, transcription factor binding site discovery, histone modification peak calling, whole-genome bisulfite methylation, and 3D chromatin architecture.

De novo telomere-to-telomere long-read assembly, diploid haplotype phasing, chromosome conformation scaffolding, and graph-based pangenome variation representation.

Amplicon sequence variant (ASV) error modeling, k-mer lowest common ancestor taxonomic classification, metagenomic binning, and functional metabolic reconstruction.

Ancestry estimation, linkage disequilibrium calculation, complex trait association testing, demographic history modeling, and maximum likelihood phylogenetic tree reconstruction.

Direct neural network basecalling, modified base detection (5mC/5hmC), full-length isoform sequencing, and long-range structural variant resolution across ONT and PacBio platforms.

CLIA/CAP regulatory grade pipelines, UMI error correction for <0.1% VAF liquid biopsy detection, cell-free tumor fraction, HLA typing, and immunogenomics neoantigen prediction.

Reproducible data pipelines, containerized HPC execution, directed acyclic graph (DAG) task scheduling, and cloud compute orchestration across AWS, GCP, and Azure.

Interactive desktop and web genome browsers, split-read pileup inspection, publication-ready genomic figures, heatmaps, and interactive Python/R data science notebook environments.

Atomic diffusion protein structure prediction, genomic sequence foundation models, long-range chromatin accessibility transformers, and deep convolutional variant callers.

Genome-wide CRISPR pooled screens, viral surveillance and wastewater tracing, mass spectrometry bottom-up proteomics, LC-MS metabolomics, and ancient DNA paleogenomics.

Curated international repositories of non-redundant reference genomes, clinical variant pathogenicity catalogs, population allele frequencies, and biological pathways.

A battle-tested software starter stack covering >90% of common sequencing projects across genomics, transcriptomics, epigenomics, and metagenomics in an NGS lab.