simplified cellranger for long-read data
-
Updated
May 30, 2024 - Python
simplified cellranger for long-read data
Mapping-based Genome Size Estimation (MGSE) performs an estimation of a genome size based on a read mapping to an existing genome sequence assembly.
Transcript discovery and quantification with long RNA reads (Nanopores and PacBio)
ClairS-TO - a deep-learning method for tumor-only somatic variant calling
Clair3 - Symphonizing pileup and full-alignment for high-performance long-read variant calling
Quality control plotting for long reads
Structural variation caller using third generation sequencing
ClairS - a deep-learning method for long-read somatic small variant calling
pacbio or oxford nanopore long reads repeat coverage estimation.
Improving long-read barcode-variant mapping using multiple sequence alignment.
Mitochondrial Long-read Iterative Assembly
Pipeline to provide high accuracy single molecule consensus sequences from PacBio data using unique molecular identifiers (UMIs).
Comprehensive TE insertion identification with WGS/WES data from multiple sequencing technics
Correct mismatches, microindels, and noncanonical splice junctions in long reads that have been mapped to the genome
Retro-ingineering of PacBio's modelling of IPD (RSII, Sequel I, Sequel II v2)
Technology agnostic long read analysis pipeline for transcriptomes
A toolkit to harmonize and filter structural variations across methods and samples.
Target site duplication assessment from alignment file and genomic location of insertion sites.
Bioinformatics pipeline for recovery and analysis of metagenome-assembled genomes
Lightweight bioinformatics pipeline for microbial genome recovery
Add a description, image, and links to the pacbio topic page so that developers can more easily learn about it.
To associate your repository with the pacbio topic, visit your repo's landing page and select "manage topics."