Search Results for "auto code generation"
Sort By:
Showing 11 open source projects for "auto code generation"
View related business solutions-
$300 Free Credits for Your Google Cloud ProjectsLaunch your next project with $300 in free Google Cloud credits—no strings attached. Test, build, and deploy without risk. Use your credits across the entire Google Cloud platform to find what works best for your needs. After your credits are used, continue with always-free tier services. Only pay when you're ready to scale. Sign up in minutes and start exploring.
-
Build Agents and Models on One PlatformGemini Enterprise Agent Platform is Google Cloud's comprehensive platform for developers to build, scale, govern, and optimize agents and models. Choose from Google's most advanced models and third-party models like Anthropic's Claude Model Family.
-
1
PlateEditor
PlateEditor, a free web application to work with multi-well plates
PlateEditor is a free web application to work with multi-well plates, from creation of layouts to data visualization and aggregation. It is primarily designed as a tool to help scientists working in the field of biology to simplify and fasten the process of data analysis. It is fully client-side: files are never transferred to the server, ensuring complete security and privacy of research data. It doesn't require any installation. - PlateEditor is available at this... -
2
GenForm
Generation of molecular formulas by high-resolution MS and MS/MS data
This is an open source implementation of molecular formula calculation by high resolution MS and MS/MS data as described in M. Meringer, S. Reinker, J. Zhang, A. Muller: MS/MS Data Improves Automated Determination of Molecular Formulas by Mass Spectrometry. MATCH Commun. Math. Comput. Chem. 65, 259-290, 2011. The software user manual is available here: https://www.researchgate.net/publication/307964728_MOLGEN-MSMS_Software_User_Manual Example MS and MS/MS data files for GenForm can... -
3
As of 2018-06-28, this project has moved to https://github.com/AdamaJava. This copy of the code will remain but all new code updates and releases will be from the new site. Java code developed by the Australian ICGC team for operating on next-generation sequencing data. This code is currently being maintained and expanded by the QIMR Berghofer Genome Informatics team (http://www.qimrberghofer.edu.au/lab/genome-informatics/) More details and documentation can be found on the wiki: http://sourceforge.net/p/adamajava/wiki/Home/
-
4
JSiteDescriptor
Binding site descriptor generation for SVM based classification.
A set of java programs that extract coordinate and chemical information from PDB files. The binding site regions are extracted using grid based scheme. For binding site, spatio-chemical descriptor is generated based on PocketMatch algorithm of Dr. Kalidas (author of this project too). -
MongoDB Atlas runs apps anywhereMongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
-
5
CSBB-v3.0
CSBB - Computational Suite for Bioinformaticians and Biologists
...Major focus of CSBB is to allow users from biology and bioinformatics community, to get benefited by performing down-stream analysis tasks while eliminating the need to write programming code. CSBB is currently available on Linux, UNIX. Currently CSBB provides 18 modules focused on analytical tasks like performing upper-quantile normalization, interactive visualization and next generation sequencing pipelines. CSBB now also has capability to process public data. Providing User with End to End pipeline experience. -
6
MICA-aligner
Next-generation sequencing short reads aligner based on Intel® MIC
Latest Code in GitHub: https://github.com/aquaskyline/MICA-aligner To better utilize MIC-enabled computers for NGS data analysis, we developed a new short-read aligner MICA that is optimized in view of MIC’s limitation and the extra parallelism inside each MIC core. Experiments on aligning 150bp paired-end reads show that MICA using one MIC board is ~4.85 times faster than the CPU-(multi-core)-based BWA-MEM and about the same speed as the GPU-based SOAP3-dp. Furthermore, MICA’s... -
7
MSL
http://dx.doi.org/10.1002/jcc.22968
MSL is a C++ library that enables the computational study of macromolecules. The MSL library is not a program (although some applications are distributed) but a tool for scientist to code their own molecular modeling methods. Philosophy The main goal is to create a set of tools that enable the computational study of macromolecules with relative ease at all levels, from simple operations (for example, load a PDB and measure a distance or edit a dihedral) to complex applications... -
8
mullpy
Multilabel-learning library built on python
Mullpy is a machine-learning library that mainly aim to solve multi-label problems. It is classifier independent, has many ensemble capabilities (diversity methods like bagging, random subspaces, etc.) and automated results presentation (Excel, images as ROC or class-separated info, etc.). It is fully configurable. At the moment supports Neural Networks and classifiers defined in files. It is working on python3.3. -
9
trimMate is a tool to remove junction adapters as well as sequencing adapters from mate pair libraries and trim the sequences accordingly. It works on fastq files generated by next generation sequencing (NGS) machines. The release is source code only, please download from version control.
-
Our Free Plans just got better! | Auth0You asked, we delivered! Auth0 is excited to expand our Free and Paid plans to include more options so you can focus on building, deploying, and scaling applications without having to worry about your security. Auth0 now, thank yourself later.
-
10
Perl code scafflod for the automatic execution of main Next Generation Sequencing data processing and analysis.
-
11
Mister Model is a code generation system. It takes a UML model expressed as XMI and generates source code specifically designed to work in a cross-platform web service environment. It fixes the legendary 'Serialization Failed' messages in web services
- Previous
- You're on page 1
- Next
