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Helmholtz Zentrum München

Helmholtz Zentrum München

Munich, Germany

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Logo for anndata

anndata

anndata is a Python package for handling annotated data matrices in memory and on disk, positioned between pandas and xarray. anndata offers a broad range of computationally efficient features including, among others, sparse data support, lazy operations, and a PyTorch interface.

  • bioinformatics
  • data managment
  • FAIR Data
  • + 1
  • Python
4
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BaSiC

BaSiC is a specialized MATLAB tool designed for the background and shading correction of optical microscopy images. BaSiC addresses critical challenges in image processing, thereby enhancing the quality and reliability of microscopy data.

  • MATLAB
7
0
Logo for CellRank

CellRank

CellRank is a computational framework to study cellular fate decisions based on various types of single-cell genomics data. CellRank scales to large cell numbers, is fully compatible with the scverse ecosystem, and is easy to use.

  • Data analysis
  • fate mapping
  • fate prediction
  • + 7
  • Python
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Logo for ehrapy

ehrapy

ehrapy is a modular open-source Python framework designed for exploratory end-to-end analysis of heterogeneous epidemiology and electronic health record data.

  • Data analysis
  • open source
  • python
  • Python
0
2

MemBrain v2

MemBrain v2 aims to facilitate the analysis of membranes in cryo-electron tomography data. It consists of the components membrain-seg for membrane segmentation, membrain-pick for membrane protein localization, and membrain-stats for the extraction of membrane-based metrics.

  • Python
2
0
Logo for scanpy

scanpy

Scanpy is a scalable toolkit for analyzing single-cell gene expression data built jointly with anndata. It includes preprocessing, visualization, clustering, and differential expression testing. The Python-based implementation efficiently deals with datasets of more than one million cells.

  • bioinformatics
  • Data analysis
  • python
  • Python
  • R
3
1

scPower

scPower is a statistical framework for design and power analysis of multi-sample single cell transcriptomics experiments. It enables users to identify the optimal experimental parameters for cell type specific inter-individual DE and eQTL analysis using single cell RNA-seq data given a fixed budget.

  • Experimental design
  • Health
  • scRNA-seq
  • + 1
  • R
  • HTML
  • CSS
3
0
Logo for SpatialData framework

SpatialData framework

SpatialData is an open and interoperable data framework for ingesting, representing, processing and visualizing spatial omics datasets.

  • Data Visualization
  • FAIR Data
  • Multi omics
  • + 3
  • Python
  • Dockerfile
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