Search Results for "gnu torrent client"
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Showing 6 open source projects for "gnu torrent client"
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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.
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Error to trace to log to deploy. One click. No SSH.AppSignal links every error to the trace, the trace to the log, the log to the deploy that shipped it.
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1
Pugsly PubChem Client
Command-line, PubChem PUG client, written in Python
Client to the PubChem Tool (PCT), The Power User Gateway (PUG). Written in Python and developed for use with Linux. -
2
Pyntrez NCBI Database Client
Command-line, Entrez, NCBI e-utilities client, written in Python
Comman-line client to Entrez, e-utilities, written in Python, developed for Linux -
3
Pugsly
Command-line, PubChem PUG client, written in Python
Command-line, PubChem PUG client, written in Python; developed for Linux -
4
Pyntrez
Command-line, Entrez, NCBI e-utilities client, written in Python
Command-line, Entrez, NCBI e-utilities client, written in Python; developed for Linux -
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.
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5
AbMining ToolBox
python scripts to analyze antibody libraries
02-14-2014. Hamming distance calculation has been updated. These are python scripts to analyze antibody libraries sequenced by next generation sequencing methods (454, Ion Torrent, MiSeq) as described in D'Angelo et al MAbs. 2014 Jan 1;6(1):160-72. -
6
QUASR
Cross-platform NGS processing and analysis pipeline in Python
QUASR is a lightweight pipeline written to process and analyse next-generation sequencing (NGS) data from Illumina, 454, and Ion Torrent platforms. Although originally written for viral data, it is generic enough to work on any NGS dataset. Functions include: duplicate removal demultiplexing primer-removal quality-assurance (QA) graphing quality control (QC) consensus-generation minority-variant determination minority-variant graphing The main current version is 6.X, which is...
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