MongoDB Atlas is the developer-friendly database used to build, scale, and run gen AI and LLM-powered apps—without needing a separate vector database. Atlas offers built-in vector search, global availability across 115+ regions, and flexible document modeling. Start building AI apps faster, all in one place.
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Build Securely on AWS with Proven Frameworks
Lay a foundation for success with Tested Reference Architectures developed by Fortinet’s experts. Learn more in this white paper.
Moving to the cloud brings new challenges. How can you manage a larger attack surface while ensuring great network performance? Turn to Fortinet’s Tested Reference Architectures, blueprints for designing and securing cloud environments built by cybersecurity experts. Learn more and explore use cases in this white paper.
Network Visualization is a mature part of computer science that is enjoying a good deal of growth, partially fueled by Bioinformatics. Network is a synonym for Graph, and both refer to a collection of nodes and edges.
..., for "Hordes of Little Atoms," is a project to develop a lean,
modular, scalable toolkit for massive simulations of particle
(molecular) dynamics. It is written in C and Python to get the best
balance between programmer and run time.
OrangeHRM provides a world-class HRIS experience and offers everything you and your team need to be that HR hero you know that you are.
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DEODAS designs & analyzes consensus-degenerate oligonucleotide probes for biological research. DEODAS automatically designs and screens, probes against databases of known genes & stores the information in a searchable database.
Python module to interface mzML data in Python based on cElementTree with additional tools for MS-informatics.
CITATION
Please cite us when using pymzML for your publications.
Bald, T., Barth, J., Niehues, A., Specht, M., Hippler, M., & Fufezan, C. (2012).
pymzML - Python module for high throughput bioinformatics on mass spectrometry data.
Maximal Clique Motif Reduction (MCMR) is a software program for running and then combining the output of multiple motif finder programs, such as MEME, AlignACE and Weeder, into a set of consensus predictions with associated confidence rankings.
trimAl can consider several parameters, alone or in multiple combinations, in order to select the most-reliable positions in the alignment. These include the proportion of sequences with a gap, the level of residue similarity and, if several alignments for the same set of sequences are provided, the consistency level of columns among alignments. Moreover, trimAl allows to manually select a set of columns and sequences to be removed from the alignment.
trimAl implements a series of...
Inventors: Validate Your Idea, Protect It and Gain Market Advantages
SenseIP is ideal for individual inventors, startups, and businesses
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