Awesome Single CellCommunity-curated list of software packages and data resources for single-cell, including RNA-seq, ATAC-seq, etc.
Stars: ✭ 1,937 (+10094.74%)
SwarmA robust and fast clustering method for amplicon-based studies
Stars: ✭ 88 (+363.16%)
VsearchVersatile open-source tool for microbiome analysis
Stars: ✭ 444 (+2236.84%)
matamMapping-Assisted Targeted-Assembly for Metagenomics
Stars: ✭ 18 (-5.26%)
virnetVirNet: A deep attention model for viral reads identification
Stars: ✭ 26 (+36.84%)
catchA package for designing compact and comprehensive capture probe sets.
Stars: ✭ 55 (+189.47%)
Cytometry Clustering ComparisonR scripts to reproduce analyses in our paper comparing clustering methods for high-dimensional cytometry data
Stars: ✭ 30 (+57.89%)
Binning refinerImproving genome bins through the combination of different binning programs
Stars: ✭ 26 (+36.84%)
SemiBinNo description or website provided.
Stars: ✭ 25 (+31.58%)
elixir clusterDistributed Elixir Cluster on Render with libcluster and Mix Releases
Stars: ✭ 15 (-21.05%)
peppyProject metadata manager for PEPs in Python
Stars: ✭ 29 (+52.63%)
polyRADGenotype Calling with Uncertainty from Sequencing Data in Polyploids 🍌🍓🥔🍠🥝
Stars: ✭ 16 (-15.79%)
snpsea📊 Identify cell types and pathways affected by genetic risk loci.
Stars: ✭ 26 (+36.84%)
AMIDDIntroduction to Applied Mathematics and Informatics in Drug Discovery (AMIDD)
Stars: ✭ 13 (-31.58%)
graphgroveA framework for building (and incrementally growing) graph-based data structures used in hierarchical or DAG-structured clustering and nearest neighbor search
Stars: ✭ 29 (+52.63%)
tiptoftPredict plasmids from uncorrected long read data
Stars: ✭ 27 (+42.11%)
Unsupervised-Learning-in-RWorkshop (6 hours): Clustering (Hdbscan, LCA, Hopach), dimension reduction (UMAP, GLRM), and anomaly detection (isolation forests).
Stars: ✭ 34 (+78.95%)
bistroA library to build and execute typed scientific workflows
Stars: ✭ 43 (+126.32%)
RNAseq titration resultsCross-platform normalization enables machine learning model training on microarray and RNA-seq data simultaneously
Stars: ✭ 22 (+15.79%)
conda-env-builderBuild and maintain multiple custom conda environments all in once place.
Stars: ✭ 18 (-5.26%)
motifmatchrFast motif matching in R
Stars: ✭ 25 (+31.58%)
BPRMethModelling DNA methylation profiles
Stars: ✭ 18 (-5.26%)
pathway-mapperPathwayMapper: An interactive and collaborative graphical curation tool for cancer pathways
Stars: ✭ 47 (+147.37%)
SigProfilerExtractorSigProfilerExtractor allows de novo extraction of mutational signatures from data generated in a matrix format. The tool identifies the number of operative mutational signatures, their activities in each sample, and the probability for each signature to cause a specific mutation type in a cancer sample. The tool makes use of SigProfilerMatrixGen…
Stars: ✭ 86 (+352.63%)
dna-traitsA fast 23andMe genome text file parser, now superseded by arv
Stars: ✭ 64 (+236.84%)
revolverREVOLVER - Repeated Evolution in Cancer
Stars: ✭ 52 (+173.68%)
genomediscoSoftware for comparing contact maps from HiC, CaptureC and other 3D genome data.
Stars: ✭ 23 (+21.05%)
GraphBinGraphBin: Refined binning of metagenomic contigs using assembly graphs
Stars: ✭ 35 (+84.21%)
gencoreGenerate duplex/single consensus reads to reduce sequencing noises and remove duplications
Stars: ✭ 91 (+378.95%)
bacnetBACNET is a Java based platform to develop website for multi-omics analysis
Stars: ✭ 12 (-36.84%)
MSFraggerUltrafast, comprehensive peptide identification for mass spectrometry–based proteomics
Stars: ✭ 43 (+126.32%)
Clustering-in-PythonClustering methods in Machine Learning includes both theory and python code of each algorithm. Algorithms include K Mean, K Mode, Hierarchical, DB Scan and Gaussian Mixture Model GMM. Interview questions on clustering are also added in the end.
Stars: ✭ 27 (+42.11%)
zio-entityZio-Entity, a distributed, high performance, functional event sourcing library
Stars: ✭ 68 (+257.89%)
MVGLTCyb 2018: Graph learning for multiview clustering
Stars: ✭ 26 (+36.84%)
hpdbscanHighly parallel DBSCAN (HPDBSCAN)
Stars: ✭ 19 (+0%)
CellOCellO: Gene expression-based hierarchical cell type classification using the Cell Ontology
Stars: ✭ 34 (+78.95%)
calourexploratory and interactive microbiome analyses based on heatmaps
Stars: ✭ 22 (+15.79%)
watset-javaAn implementation of the Watset clustering algorithm in Java.
Stars: ✭ 24 (+26.32%)
DAtestCompare different differential abundance and expression methods
Stars: ✭ 34 (+78.95%)
RcpiMolecular informatics toolkit with a comprehensive integration of bioinformatics and cheminformatics tools for drug discovery.
Stars: ✭ 22 (+15.79%)
PCG𝙋𝙝𝙮𝙡𝙤𝙜𝙚𝙣𝙚𝙩𝙞𝙘 𝘾𝙤𝙢𝙥𝙤𝙣𝙚𝙣𝙩 𝙂𝙧𝙖𝙥𝙝 ⸺ Haskell program and libraries for general phylogenetic graph search
Stars: ✭ 20 (+5.26%)
TypeTEGenotyping of segregating mobile elements insertions
Stars: ✭ 15 (-21.05%)
awesome-geneticsA curated list of awesome bioinformatics software.
Stars: ✭ 60 (+215.79%)
M3CMonte Carlo Reference-based Consensus Clustering
Stars: ✭ 24 (+26.32%)
ML2017FALLMachine Learning (EE 5184) in NTU
Stars: ✭ 66 (+247.37%)
block-alignerSIMD-accelerated library for computing global and X-drop affine gap penalty sequence-to-sequence or sequence-to-profile alignments using an adaptive block-based algorithm.
Stars: ✭ 58 (+205.26%)
EarlGreyEarl Grey: A fully automated TE curation and annotation pipeline
Stars: ✭ 25 (+31.58%)
argparse2tooltransparently build CWL and Galaxy XML tool definitions for any script that uses argparse
Stars: ✭ 24 (+26.32%)
netSmoothnetSmooth: A Network smoothing based method for Single Cell RNA-seq imputation
Stars: ✭ 23 (+21.05%)
crazydocRead DNA sequences from colourful Microsoft Word documents
Stars: ✭ 18 (-5.26%)
epivizEpiViz is a scientific information visualization tool for genetic and epigenetic data, used to aid in the exploration and understanding of correlations between various genome features.
Stars: ✭ 65 (+242.11%)
chromapFast alignment and preprocessing of chromatin profiles
Stars: ✭ 93 (+389.47%)
scrapyra simple & tiny scrapy clustering solution, considered a drop-in replacement for scrapyd
Stars: ✭ 50 (+163.16%)
picardmetrics🚦 Run Picard on BAM files and collate 90 metrics into one file.
Stars: ✭ 38 (+100%)
perbasePer-base per-nucleotide depth analysis
Stars: ✭ 46 (+142.11%)