Search Results for "python::module" - Page 7
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Showing 409 open source projects for "python::module"
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This script can convert raw diffraction images to JPEG files. Support ADSC, MarCCD, Mar345, RAXIS and PILATUS, and can be run on Windows, Linux and Mac OS X.
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ADTEx
Aberration detection in tumour exome
Aberration Detection in Tumour Exome (ADTEx) is a tool for copy number variation (CNV) detection for whole-exome data from paired tumour/matched normal samples. -
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Power Decoder
The Power Decoder simulator for the evaluation of pooled shRNA screen
...Using the negative binomial distribution, it models both the relative abundance of multiple shRNAs within a single screening replicate and the biological noise between replicates for each individual shRNA. The Power Decoder simulator is written in R and Python. -
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FingerID
Metabolite identification via machine learning.
[NOTICE!] FingerID since version 1.4 will be hosted on github: https://github.com/icdishb/fingerid A metabolite identification software using tandem mass spectrometry and kernel methods. The related paper can be found at http://bioinformatics.oxfordjournals.org/content/early/2012/07/18/bioinformatics.bts437.abstract. Now it supports unix/linux like system. -
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Ymap - Yeast Mapping Analysis Pipeline
Pipeline for large-scale genome changes analysis of genome datasets.
The active use repository has migrated over to: https://github.com/darrenabbey/ymap The repository here was errantly created with some large binary files included. Attempts to extract the files from the history here have failed. A copy of the history was successfully scrubbed and then hosted at github. -------- Eukaryotic pathogens have complicated and dynamic genomes. To facilitate analysis of copy number variations (CNV), single nucleotide polymorphisms (SNPs), and loss of... -
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miRStat
identification of common sets of microRNAs for groups of genes
miRStat enables identification of regulatory microRNA targeting several genes in a custom gene group. This Python application is based on the TargetScan 6.2 microRNA target prediction data. Conserved and Nonconserved site context+ scores files are required (unzip and place to directory with program). Available at http://targetscan.org/cgi-bin/targetscan/data_download.cgi?db=vert_61 -
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MDcons(Molecular Dynamics consensus)
Interpretation of Biomolecular MD simulations
MDcons is a tool to analyze conserved contacts during Molecular Dynamics (MD) simulations of Protein, Rna, Dna & Ligand based complexes. The input is either a Molecular Dynamics trajectory or a set of snapshots. The input can also be a single snapshot. The outputs are (1) map of most/less frequently conserved contacts during MD (2) a list of most/less frequently conserved contacts during MD. -
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Pugsly
Command-line, PubChem PUG client, written in Python
Command-line, PubChem PUG client, written in Python; developed for Linux -
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Pyntrez
Command-line, Entrez, NCBI e-utilities client, written in Python
Command-line, Entrez, NCBI e-utilities client, written in Python; developed for Linux -
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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. -
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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 -
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Magnolya
De novo CNV detection by co-assembly
Magnolya enables copy number variation (CNV) detections without using a reference genome. Magnolya directly compares two next-generation sequencing datasets. -
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diCal-IBD
diCal-IBD predicts identical by descent tracts using sequence data
diCal-IBD can be used for predicting identical by descent (IBD) tracts in sequence data. It provides means for calculating the accuracy of the prediction, if the true tracts are available, plotting of the predicted tracts, their TMRCA (time to the most recent common ancestor) and corresponding posterior probabilities, and identification of putative recent positive selection through investigation of average IBD sharing -
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mitoMaker
mitoMaker - a mitochondria assembly and annotation script
mitoMaker is a pipeline script developed to simplify the assembly and automatic annotation of mitochondrial genomes, based on raw NGS reads and an optional target reference. mitoMaker calls well known assemblers and algorithms, such as SOAPdenovo, MIRA and blast+ and parses their results providing easily readable outputs, such as FASTA, GENBANK, SEQUIN, PNG and others. General pipeline: 1-iterative De Novo assembly, with different k-mer values, trying to assemble a build that matches... -
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Pathomx
Workflow-based data analysis built on IPython
Pathomx is a workflow-based tool for the analysis and visualisation of experimental data. Initially created as a tool for metabolomic data analysis is has been extended and can now be used for any scientific and non-scientific data analysis. -
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HRDAG
Framework for Hierarchical Graph Decomposition
This is a framework used to decompose hierarchical graphs, i.e.,graphs which were created from or contain a hierarchy of modules. Each module is reused several times in the hierarchy. This may be useful to reverse-engineer human constructs like electronic equipment, manufactured machines, or bureaucratic hierarchies; but also to decompose natural constructs like gene-relation or protein-relation nets. -
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xPyder PyMOL Plugin
Analyze and visualize coupled residues and their networks in proteins
xPyder is a PyMOL plugin to analyze and visualize on the 3D structure dynamical cross-correlation matrices (DCCM), linear mutual information (LMI), communication propensities (CP), intra- and inter-molecular interactions (e.g. PSN), and more, to produce highly customizable publication-quality images. xPyder identifies networks (using concepts from graph theory, such as hubs and shortest path searching), compares matrices and focuses the analysis on relevant information by filtering the data... -
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Create, check, annotate, merge, diff, split SBML (System Biology Markup Lanugage) documents. The latest version of semanticSBML is webbased with a RESTful interface.
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IMPACT is an integrated multi-read peak calling tool for ChIP-Seq data. IMPACT utilizes multi-reads in calling peaks and provides users with high-confidence peaks. In addition, IMPACT provides a completely integrated pipeline which produces downstream analysis results such as motif discovery and peak-to-gene annotation.
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modDFS
Find whether a KEGG module is complete in a proteome
Given module definitions and reaction information based on a KEGG database, modDFS does a depth first search to find whether a set of KOs are sufficient for completion of a module. For cases where only 1 absent KO would've been enough for module completion, that module is reported to be complete(only lenient). For cyclic modules, completion is defined as having all the module reaction steps present. -
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vipR is a program to screen for sequence variants (SNPs, deletions) in sequence data generated by high-throughput-sequencing platforms. Information on this and other projects can be found on: http://www.altmann.eu
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mitoMaker
mitoMaker - a mitochondria pipeline wrapper script
Mitomaker is a pipeline wrapper, result analyzer and automated annotator, written in Python v2.7, that, with the help of other programs, builds, analyzes, looks for the best build and annotates target genomes (such as mitochondria and cloroplast). It could be used with other targets, such as specific genes, or transcriptomes, even though that is not it's primary goal, nor thoroughly tested. After various attempts to build different mitochondrial genomes in the lab I studied, a general pipeline started to appear: assemble reads with MIRA or SOAPdenovo-Trans, look for a scaffold/contig that matches a closely-related species, check it to see if all expected genomic features are present (since mitochondria is well conserved), check to see if the assembly might have circularized (since it's a circular DNA). ... -
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EducationalLCS
eLCS - Educational Learning Classifier System
Educational Learning Classifier System (eLCS) is a set of learning classifier system (LCS) educational demos designed to introduce students or researchers to the basics of a modern Michigan-style LCS algorithm. This eLCS package includes 5 different implementations of a basic LCS algorithm, as part of a 6 stage set of demos that will be paired with the first introductory LCS textbook. Each eLCS implementations (from demo 2 up to demo 6) progressively add major components of the entire...
