Scalable and High Performance Variant Calling on Cluster Environments
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Updated
Feb 13, 2022 - Python
Scalable and High Performance Variant Calling on Cluster Environments
Simple Alignment Viewer
GateSeeder is the first near-memory CPU-FPGA co-design for alleviating both the compute-bound and memory-bound bottlenecks in short and long-read mapping. GateSeeder outperforms Minimap2 by up to 40.3×, 4.8×, and 2.3× when mapping real ONT, HiFi, and Illumina reads, respectively.
[FCCM 2019] Hardware Acceleration of Long Read Pairwise Overlapping in Genome Sequencing: A Race Between FPGA and GPU
The first work to provide a comprehensive survey of a prominent set of algorithmic improvement and hardware acceleration efforts for the entire genome analysis pipeline used for the three most prominent sequencing data, short reads (Illumina), ultra-long reads (ONT), and accurate long reads (HiFi). Described in arXiv (2022) by Alser et al. https…
Genopo a.k.a. F5N - a portable DNA analysis toolkit for nanopore data https://nanoporetech.com
This repository streamlines the conversion of raw DNA sequencing data from FASTQ to BAM format, incorporating scripts that not only facilitate BAM conversion but also generate Sequence Alignment Map (SAM) files.
Third generation sequencing techniques rapidly evolved as a common practice in molecular biology. Great advances have been made in terms of feasibility, cost, throughput, and read-length. However, sample contamination still poses a big issue: it complicates correct, high-quality downstream analysis of sequencing data and usage in medical applica…
Converts a part of an alignment (.PAF perhaps others sometimes) to a Circos image using BED and fasta files.
Python script for comparing two genome assemblies
Mitochondrial Long-read Iterative Assembly
Pipeline to prepare alignments for visualization with ACT (goo.gl/1T28jX) and for locating possible inter-chromosomal re-arrengments/misjoints
preqclr is a software tool that reports on quality for long read sequencing data without the use of a reference genome.
simplified cellranger for long-read data
A lightweight library for working with PAF (Pairwise mApping Format) files
Genome-on-Diet is a fast and memory-frugal framework for exemplifying sparsified genomics for read mapping, containment search, and metagenomic profiling. It is much faster & more memory-efficient than minimap2 for Illumina, HiFi, and ONT reads. Described by Alser et al. (preliminary version: https://arxiv.org/abs/2211.08157).
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