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Automate contact and company data extraction
Build lead generation pipelines that pull emails, phone numbers, and company details from directories, maps, social platforms. Full API access.
Generate leads at scale without building or maintaining scrapers. Use 10,000+ ready-made tools that handle authentication, pagination, and anti-bot protection. Pull data from business directories, social profiles, and public sources, then export to your CRM or database via API. Schedule recurring extractions, enrich existing datasets, and integrate with your workflows.
QDC (quick direct-method controlled) is an optimized exact implementation of the Gillespie's direct-method. It is designed for biochemical simulations when there is the need of dynamic parameters whose values can change during the simulation.
In silico vaccination experiment to determine best vaccination schedul
This project is a simplified representation of the main immune system cells and their interactions. The aim is to simulate the effect of the introduction of a cancer vaccine cell which would stimulate the immune response against the tumor-associated antigen, and consequently against cancer cells themselves. In vivo vaccination experiments take very long to complete, so it would be useful to simulate these experiments such that the best schedule of vaccination is determined that would result...
Website that shows the dynamics of a tumor by solving a system of ordinary differential equations.
The results are two kind of graph images, and a gif file, being all of them available for download as a compressed file.
Pipeline to analyze coding regions in metagenomic projects
metaProt is a python pipeline to analyze and extract data from protein sequences found in metagenomic projects.
It integrates several existing tools (HMMer, Pepstats, Blast...) to be used against custom databases. Please, read the README.txt file to find more about this.
It's a modern take on desktop management that can be scaled as per organizational needs.
Desktop Central is a unified endpoint management (UEM) solution that helps in managing servers, laptops, desktops, smartphones, and tablets from a central location.
This software uses computer vision algorithms for mining sequence data from telemonitoring data with CBRs. We propose an approach which treats the detection of changes in behavior detected with a sensor/video fusion, which occur at radically different time-scales, through a CBR in two levels: low and high level. The system is always updating the database with the daily data.
NeMo is a high-performance spiking neural network simulator which simulates networks of Izhikevich neurons on CUDA-enabled GPUs. NeMo is a C++ class library, with additional interfaces for pure C, Python, and Matlab.
GWCNV is a genome-wide algorithm for detecting CNV associations with diseases. It works directly on a transformation of intensity data. It is powerful and sensitive in detecting small CNV associations, and retains high power for large CNVs.
The RDXplorer is a computational tool for copy number variants (CNV) detection in whole human genome sequence data using read depth (RD) coverage. CNV detection is based on the Event-Wise Testing (EWT) algorithm recently published by our group.
User-friendly DAM and PIM in one marketing platform | Kontainer
Improve ROI, save time and professionalize with Kontainer Digital Asset Management that enables brands to organize, tag, convert and distribute photos
Improve ROI, save time and professionalize with Kontainer Digital Asset Management that enables brands to organize, tag, convert and distribute photos, videos, graphics, PDFs and templates that are easy to search and ready to share and integrate.
FlexGrePPS forms the foundation of a novel antigenic screening
methodology that is based on the representation of an entire proteome
by near-optimal degenerate peptide pools.
Platform for parallel computation in the Amazon cloud, including machine learning ensembles written in R for computational biology and other areas of scientific research. Home to MR-Tandem, a hadoop-enabled fork of X!Tandem peptide search engine.
We here present a novel computer algorithm, called AutoClickChem, capable of performing many click-chemistry reactions in silico. In silico modeling of click-chemistry products may prove useful in rational drug design and drug optimization.
Febrl (Freely Extensible Biomedical Record Linkage) does data standardisation (segmentation and cleaning) and probabilistic record linkage ("fuzzy" matching) of one or more files or data sources which do not share a unique record key or identifier.
PyBact is an open source software written in Python for Bacterial Identification. The software generates simulated data matrix which accurately represents the probabilistic positive/negative results of the tested biochemical test.
This is a Python program based on the NegEx algorithm that detects the polarity of the clinical evidence in clinical random trials.
If you use this code please cite this paper:
P. Davis-Desmond and Diego Mollá. Detection of Evidence in Clinical Research Papers (2012). Australasian Workshop On Health Informatics and Knowledge Management (HIKM 2012), Melbourne, Australia.
http://www.ics.mq.edu.au/~diego/publications/hikm12.pdf
This is a c-library that provides tools for advanced
analysis of electrophysiological data. It features
denoising, unsupervised classification, time-frequency
analysis, phase-space analysis, neural networks, time-warping and
more.
NetBuilder' is a tool for building, visualizing, and simulating multi-layered biological networks, structured as hierarchical Petri-nets. It has a built-in stochastic simulator, but also provides easy access to other simulation and analysis.
Software to identify cavities and crevices in proteins. The goal is to be able to take a protein structure, and to differentiate between five different types of environments for each residue: buried, surface, interfacial, cavity, or crevice.
Metaboflux is a generic approach for predicting flux distribution in metabolic networks under multiple and various constraints deducted from the experiments, to increase the biological relevance of the model.
Flow Investigation using N-Dimensions (FIND) is a program designed for analysis and visualization of Flow Cytometry data. FIND focuses specifically on automated population discovery (clustering) methods. The project targets both users and developers.