SoftCo: Enterprise Invoice and P2P Automation Software
For companies that process over 20,000 invoices per year
SoftCo Accounts Payable Automation processes all PO and non-PO supplier invoices electronically from capture and matching through to invoice approval and query management. SoftCoAP delivers unparalleled touchless automation by embedding AI across matching, coding, routing, and exception handling to minimize the number of supplier invoices requiring manual intervention. The result is 89% processing savings, supported by a context-aware AI Assistant that helps users understand exceptions, answer questions, and take the right action faster.
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Award-Winning Medical Office Software Designed for Your Specialty
Succeed and scale your practice with cloud-based, data-backed, AI-powered healthcare software.
RXNT is an ambulatory healthcare technology pioneer that empowers medical practices and healthcare organizations to succeed and scale through innovative, data-backed, AI-powered software.
...New project page: https://github.com/yesint/pteros
New documentation page: https://yesint.github.io/pteros/
Pteros is the C++ library for custom molecular modeling and simulations codes designed for researchers, not for C++ gurus. Provides facilities for PDB, XTC and TRR files IO, powerful selections, geometry transformations, RMSD fitting and alignment, etc.
Create lipid-bilayer models of arbitrary geometry.
LATEST VERSION NOW LOCATED AT http://git.durrantlab.com/jdurrant/lipidwrapper
As ever larger and more complex biological systems are modeled in silico, approximating physiological lipid bilayers with simple planar models becomes increasingly unrealistic. When building large-scale models of whole subcellular environments, models of lipid membranes with carefully considered, biologically relevant curvature are essential. LipidWrapper, written by Jacob Durrant in the lab of Rommie E. Amaro,...
An automatic spike detection program to be used with new KlustaKwik
This is an automatic spike detection program which takes account of probe geometry and produces a .mask file to be used with the new masked version of KlustaKwik.
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 (
The Protein Geometry Database hosts the development code for a flexible database for searching protein geometry, as well as a library for accessing this data for protein modeling & refinement programs.