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Version 3.0, supporting volumetric analysis of 3D image stacks and optional deep learning modules, was released in October 2017. [16] CellProfiler 4.0 was released in September 2020 and focused on speed, usability, and utility improvements with most notable example of migration to Python 3.
UTOPIA (User-friendly Tools for Operating Informatics Applications) is a suite of free tools for visualising and analysing bioinformatics data. Based on an ontology-driven data model, it contains applications for viewing and aligning protein sequences, rendering complex molecular structures in 3D, and for finding and using resources such as web services and data objects.
Some tools also support CellML, a standard used for representing physiological processes. The advantage of using standard formats is that even though a particular software application may eventually become unsupported and even unusable, the models developed by that application can be easily transferred to more modern equivalents.
This list of protein subcellular localisation prediction tools includes software, databases, and web services that are used for protein subcellular localization prediction. Some tools are included that are commonly used to infer location through predicted structural properties, such as signal peptide or transmembrane helices , and these tools ...
Reference-based methods and reference-free methods for cellular deconvolution. Reference-based approaches aim at estimating the contribution of each signature profile to the overall level of signal while reference-free methods need to estimate both latent cell type signatures and the contribution of each signature. [12] across the cell types. [10]
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SOAP: robust with a small (1-3) number of gaps and mismatches. Speed improvement over BLAT, uses a 12 letter hash table. SOAP2: using bidirectional BWT to build the index of reference, and it is much faster than the first version. SOAP3: GPU-accelerated version that could find all 4-mismatch alignments in tens of seconds per one million reads.
Human Cell Atlas; Content; Description: The Human Cell Atlas is a global consortium that is creating detailed maps of the cells in the human body to transform understanding of health and disease. Organisms: Human: Contact; Primary citation: Regev, Aviv; et al. (Human Cell Atlas Organizing Committee) (2018). "The Human Cell Atlas White Paper".