Search Results for "databases"
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Showing 6 open source projects for "databases"
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The MolTools Java library provides tools for building applications that handle nucleotide sequence data. Features include sequence I/O, handling of lists/databases of sequences, calculation of Tm, and other utilities for sequence design.
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KimBlast
Blast+ the easy way
KimBlast GUI formats and indexes Fasta databases for Blast, performs Blast searches and analyzes results. Python 3.x version. For more information, you can have a look at the README.md file in the source code tree: https://sourceforge.net/p/lp-csic-uab/kimblast3/code/ci/default/tree/README.md -
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PeptideManager_LRNO
Unique Peptide Sequence Finder (host background (xenografts) friendly)
...Its main advantage is to allow the presence of a host/background proteome (e.g., xenograft samples) during this peptide sequences selection. PeptideManager can build peptide sequences databases from various public repository (SwissProt/Trembl/UniProt, RefSeq, IPI) and various proteases. For any use, please refer to the publication: doi: 10.3389/fgene.2014.00305 http://journal.frontiersin.org/Journal/10.3389/fgene.2014.00305/abstract -
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RMol : SD/Molfile information in R
RMol: Transforming SD/Molfile structure information into R Objects
RMol is an R script with a collection of functions to link information of SD/Molfile structure databases with powerful graph analysis packages in R. -
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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MOLGENIS can be used to generate databases for life science experiments (micrroarray, mass spectrometry, genomics) having a web user interface, csv exchange format, and programmatic interfaces (web services, rest, and r-project). See NatRevGen 8.
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ProTag integrates biological web services and online databases seamlessly into the Microsoft Office applications Word, Excel and PowerPoint. It is extensible and offers smart tagging of biological objects (e.g. protein names) within Office documents.
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