Long read production pipelines
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Updated
Apr 16, 2026 - Jupyter Notebook
Long read production pipelines
Compacted and colored de Bruijn graph construction and querying
BLEND is a mechanism that can efficiently find fuzzy seed matches between sequences to significantly improve the performance and accuracy while reducing the memory space usage of two important applications: 1) finding overlapping reads and 2) read mapping. Described by Firtina et al. (published in NARGAB https://doi.org/10.1093/nargab/lqad004)
Damage parameter estimation for ancient DNA
This is the codebase for Faucet, described in our manuscript: https://academic.oup.com/bioinformatics/article/34/1/147/4004871, by Roye Rozov, Gil Goldshlager, Eran Halperin, and Ron Shamir
Material used for a course on transcriptomics, covering transcriptome assembly, transcriptome functional annotation, differential expression analysis, and functional annotation data mining
Genome assembler de novo that uses De Bruijn graph.
A compilation of all the programs in my bioinformatics course
De novo repeat inference from long reads
A de novo assembly-based fusion gene detection workflow using DNA sequencing data to identify fusion breakpoints
De Bruijn graph-based De Novo genome assembly CLI tool
Deep learning model for classifying reads in de novo genome assembly.
Scripts for the assembly and annotation of complete cyanobacterial genomes
Implementation of a quantum approach to Metagenomic de Novo Assembly.
Algorithm to parse, assemble and align genomic sequences by use machine learning techniques. The resulting sequences are used to form NCBI-BLAST respects and return sequence homologs.
Pipeline for de novo genome assembly and annotation of the earthworm Lumbricus terrestris.
Scripts for de novo genome assembly
SMP: A Salmonella Methylation analysis Pipeline
De novo repeat inference from long reads
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