Bystro genetic analysis (annotation, filtering, statistics)
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Updated
May 21, 2024 - Python
Bystro genetic analysis (annotation, filtering, statistics)
The model and algorithm about how to implement the integration of single-cell RNA-seq and spatial transcriptomics through attention mechanism
Empower Large Language Models (LLM) using Knowledge Graph based Retrieval-Augmented Generation (KG-RAG) for knowledge intensive tasks
SCGid, a consensus approach to contig filtering and genome prediction from single-cell sequencing libraries
parsing gfa alignments for fasta
stitching coding regions from exon alignments for the protein to genome alignments.
linear regression based on sequence features
bcftools for dealing with bcf files.
pacbio or oxford nanopore long reads repeat coverage estimation.
Bioinformatics Algorithms is a discipline at my university that aims to provide knowledge about manipulating DNA and RNA sequences using Python.
Python codes related to medical artificial intelligence, machine learning, bioinformatics algorithms, and computer science for python programming, among others
Detection of copy number changes in Germline/Trio/Somatic contexts in NGS data
memory efficient, fast & precise taxnomomic classification system for metagenomic read mapping
This project aims on making the algorithms covered in the corresponding lecture at LMU Munich easier to understand by providing step-by-step logging and result visualization.
A collection of 50+ trajectory inference methods within a common interface 📥📤
Alineamiento bioinformático global de pares de secuencias utilizando algoritmo Needleman-Wunsch y backtracking.
Cluster single cells and analyze cell clade relationships with colorful visualizations.
deMULTIplex2: robust sample demultiplexing for scRNA-seq
Very fast and efficient detection of multiple overlaps between genomic regions. For details on the algorithm and the implementation, please refer to the following publication: Aszódi, A. (2012): MULTOVL: Fast multiple overlaps of genomic regions. Bioinformatics 28: 3318-3319.
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