Search Results for "user%20%26%20admin%20panel%20script" - Page 4

ReadWrapper is a Python toolset to prepare and package raw sequencing data ("reads") for submission to the Sequence Read Archive (SRA, http://trace.ncbi.nlm.nih.gov/Traces/sra/).

...It currently incorporates six prioritization modules, based on gene sequence, protein-protein interactions, gene expression, disease-causing probabilities, genomic context). GEPETTO is written in Java/Python and supported by an advanced modular architecture, which means that it can easily be modified and extended by the user, in order to include alternative scoring methods and new data sources. We intend to extend the system from gene-level to variant-level prioritization, by exploiting the variant data in the MSV3D database. Contact: bmhoan@gmail.com or walter.vincent.fr@gmail.com

<This project has been completely rewrote and transformed into a new one: https://sourceforge.net/projects/deday/. 2013/06/26> The graphic user interface for DEDA (DEmography Data Analysis), a scientific software package fitting survivalship data to a number of distributions using maximum likelihood (ML) method. Currently, Weibull (2p), Gompertz and Gompertz-Makeham are supported. IMPORTANT NOTICE: Only the GUI is provided here. In order to perform the analysis, one also need the DEDA computation core program. ...

...We recommend you use Python 2.6 or 2.7, e.g. a free academic version can be obtained from Entthought Python. The input files for SpiKeDeteKt are: .dat (raw data file) .probe (probe file, described below - user constructed) parameters.py (optional - otherwise it uses defaultparameters.py) SpiKeDeteKt outputs the following files: .fet.n (feature file) .mask.n (needed for using the new (masked) KlustaKwik) .clu.n (a trivial clue file where everything is put into a single cluster) .fmask.n (trial - float masks instead of binary, we are using this for testing masked KlustaKwik) .spk.n (spike file) .upsk.n (unfiltered spike waveform) .res.n (list of spike times) .xml (an xml file with all the parameters that can subsequently be used by neuroscope or klusters) .fil (highpass filtered data) .h5 (

Laboratory notebook using version control system and independent date-time stamping (as notarization), in order to ensure record accountability, auditing, and conforming to US FDA 21 CFR 21's rule on electronic records. Please kindly rate this application or drop me an email at [ mauriceling AT acm DOT org ] so that I can hear from you. Otherwise, I have no idea who the users are. Please kindly help.

Prediction of MHC class I- and MHC class II-restricted T-cell epitopes. Prediction of proteasomal/immunoproteasomal processing of antigens. Prediction of peptide-TAP binding.

A simple tool to design DNA primers for mutagenesis in BGME lab (JHU). Allows users to select or enter background sequence and add current and new mutations. During the design process, users are presented with various updating checks to guide them.

metaProt is a python pipeline to analyze and extract data from protein sequences found in metagenomic projects. It integrates several existing tools (HMMer, Pepstats, Blast...) to be used against custom databases. Please, read the README.txt file to find more about this.

Python module for manipulation of Crystallographic Information Framework (CIF) files

This software uses computer vision algorithms for mining sequence data from telemonitoring data with CBRs. We propose an approach which treats the detection of changes in behavior detected with a sensor/video fusion, which occur at radically different time-scales, through a CBR in two levels: low and high level. The system is always updating the database with the daily data.

Febrl (Freely Extensible Biomedical Record Linkage) does data standardisation (segmentation and cleaning) and probabilistic record linkage ("fuzzy" matching) of one or more files or data sources which do not share a unique record key or identifier.

Object oriented reusable software classes designed to be used to construct larger software projects developed in multiple software languages.

Flow Investigation using N-Dimensions (FIND) is a program designed for analysis and visualization of Flow Cytometry data. FIND focuses specifically on automated population discovery (clustering) methods. The project targets both users and developers.

The SplitDB project gives practitioners of statistical tools for inferring phylogenies a way to store, retrieve and visualize important properties, like convergence, of the overwhelmingly large resulting tree-sets produced by these tools.

ByoDyn (http://cbbl.imim.es/ByoDyn) is a software tool for the study of biochemical networks within the framework of systems biology. SBML compatible, ByoDyn is a group effort of the Computational Biochemistry and Biophysics Lab.

Volumetric file viewer for the human brain. Easy, powerful and flexible fMRI/MRI brain research and clinical neuro-surgery tool. Using state of the art open VTK 3D library, the proven Qt GUI toolkit, coded in Python.

A database and a web front end for physiologic data on animal feeding, developed with PostgreSQL and Django at NESCent (http://www.nescent.org) for Mammalian Feeding Working Group (http://www.feedexp.org). Current development of the codebase is on Github at http://github.com/NESCent/feedingdb.

Microarray Gene Expression Database Group and OMG Gene Expression Standard (MAGE)

Phylogenetic Representativeness is a method for estimating adequacy of taxon sampling for phylogenetic studies. Through a series of statistics generated by PhyRe, it is possible to evaluate taxon coverage within a given group.

--UPDATE-- New Version is now integrated in the official PyMOL plugin repository! --UPDATE-- The BNI (Beyond Normal Interaction)- Tools is a plug in for the PyMOL molecular visualization system which adds additional functionalities and presets to the PyMOL GUI and also adds useful extended commands.

A collection of corpus and access routines for developing biological literature analysis systems.

RefineHMM refines an original hidden Markov model (HMM) to find an optimal fit against the evolutionary group that the HMM models, and it does this using through iterative database searches and incremental subsequent adaptation of the seed set.

PowerTalk automatically speaks Microsoft PowerPoint presentations. For presenters who find speaking difficult, audiences containing people with visual impairments and fun educational uses. Uses synthesised computer speech provided with Windows