Coursera SpecializationsSolutions to assignments of Coursera Specializations - Deep learning, Machine learning, Algorithms & Data Structures, Image Processing and Python For Everybody
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HailScalable genomic data analysis.
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Fastq.bioAn interactive web tool for quality control of DNA sequencing data
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JbrowseA modern genome browser built with JavaScript and HTML5.
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GatkOfficial code repository for GATK versions 4 and up
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SnsAnalysis pipelines for sequencing data
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CirclatorA tool to circularize genome assemblies
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GenomicsA collection of scripts and notes related to genomics and bioinformatics
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SarekDetect germline or somatic variants from normal or tumour/normal whole-genome or targeted sequencing
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MegahitUltra-fast and memory-efficient (meta-)genome assembler
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DeeppurposeA Deep Learning Toolkit for DTI, Drug Property, PPI, DDI, Protein Function Prediction (Bioinformatics)
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DeeptoolsTools to process and analyze deep sequencing data.
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JcviPython library to facilitate genome assembly, annotation, and comparative genomics
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Minimap2A versatile pairwise aligner for genomic and spliced nucleotide sequences
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GubbinsRapid phylogenetic analysis of large samples of recombinant bacterial whole genome sequences using Gubbins
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GalaxyData intensive science for everyone.
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BioBioinformatics library for .NET
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AribaAntimicrobial Resistance Identification By Assembly
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HicexplorerHiCExplorer is a powerful and easy to use set of tools to process, normalize and visualize Hi-C data.
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CgrangesA C/C++ library for fast interval overlap queries (with a "bedtools coverage" example)
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HgvsPython library to parse, format, validate, normalize, and map sequence variants. `pip install hgvs`
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ArtemisArtemis is a free genome viewer and annotation tool that allows visualization of sequence features and the results of analyses within the context of the sequence, and its six-frame translation
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Goleftgoleft is a collection of bioinformatics tools distributed under MIT license in a single static binary
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JvarkitJava utilities for Bioinformatics
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PyfaidxEfficient pythonic random access to fasta subsequences
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Bowtie2A fast and sensitive gapped read aligner
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Gwa tutorialA comprehensive tutorial about GWAS and PRS
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Biojava📖🔬☕️ BioJava is an open-source project dedicated to providing a Java library for processing biological data.
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Bwa Mem2The next version of bwa-mem
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NucleusPython and C++ code for reading and writing genomics data.
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TdcTherapeutics Data Commons: Machine Learning Datasets and Tasks for Therapeutics
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Uncurl pythonUNCURL is a tool for single cell RNA-seq data analysis.
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Tiledb VcfEfficient variant-call data storage and retrieval library using the TileDB storage library.
Stars: ✭ 26 (-85.06%)
BwaBurrow-Wheeler Aligner for short-read alignment (see minimap2 for long-read alignment)
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Dna NnModel and predict short DNA sequence features with neural networks
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DramDistilled and Refined Annotation of Metabolism: A tool for the annotation and curation of function for microbial and viral genomes
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BgtFlexible genotype query among 30,000+ samples whole-genome
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ArvadosAn open source platform for managing and analyzing biomedical big data
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WgsimReads simulator
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SmudgeplotInference of ploidy and heterozygosity structure using whole genome sequencing data
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Awesome 10x GenomicsList of tools and resources related to the 10x Genomics GEMCode/Chromium system
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NglessNGLess: NGS with less work
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CoolerA cool place to store your Hi-C
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Kmer CntCode examples of fast and simple k-mer counters for tutorial purposes
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SvtyperBayesian genotyper for structural variants
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HifiasmHifiasm: a haplotype-resolved assembler for accurate Hifi reads
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OctopusBayesian haplotype-based mutation calling
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Hts Nimnim wrapper for htslib for parsing genomics data files
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PygenoPersonalized Genomics and Proteomics. Main diet: Ensembl, side dishes: SNPs
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SeqA high-performance, Pythonic language for bioinformatics
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SibeliazA fast whole-genome aligner based on de Bruijn graphs
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Somalierfast sample-swap and relatedness checks on BAMs/CRAMs/VCFs/GVCFs... "like damn that is one smart wine guy"
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RoaryRapid large-scale prokaryote pan genome analysis
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Deep RulesTen Quick Tips for Deep Learning in Biology
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