コーパス検索結果 (1語後でソート)
通し番号をクリックするとPubMedの該当ページを表示します
1 platform independent and written in Java and Python.
2 It is functional with built-in Perl and Python.
3 m interpreted languages including MATLAB and Python.
4 and graphical user interface tool written in Python.
5 arily in bash with helper scripts written in python.
6 SD license, with bindings for C++, C, R, and Python.
7 the popular open-source programming language Python.
8 INTEGRATE-Neo is implemented in C ++ and Python.
9 The algorithm is implemented in MATLAB and Python.
10 teractive data science software ecosystem in Python.
11 is a free and open source program written in Python.
12 d with the classification of this dataset in Python.
13 roducibility, we prototyped the method using Python.
14 familiar with basic programming in MATLAB or Python.
15 ing visualization tool, compatible with both Python 2.7 and 3+, and distributed under the GNU Public
20 pen source (MIT license) and executable with Python 2.7 or iPython notebook, and available on GitHub.
27 or programming languages, namely, C++, Java, Python 3, and R to kick-start adoption and integration.
34 language system responses to code written in Python, a text-based programming language (Experiment 1)
37 mming and analysis through scripting in R or Python, allowing the trainer to cover more ground in the
38 ilitating data access and manipulation using Python and any other programming language that implement
48 n in several programming languages (Java, R, Python and Javascript) and (iv) a web service for progra
52 ive improvement from existing solutions like Python and MongoDB, by utilizing a domain-specific langu
58 ATSHAP is embedded in a toolkit developed in Python and supports genomics datasets in standard file f
59 has been repackaged with current versions of Python and Tcl/Tk, which support new tools for NMR peak
62 eloped in several languages (R, Excel, Java, Python, and C#) to enable researchers to integrate RSML
64 r offers a basic introduction to coding, via Python, and it includes concrete examples and exercises
65 nd translated into differential equations in Python, and Python code is automatically generated to so
67 trast, HOXD digit enhancers are conserved in pythons, and HOXD gene expression in the hindlimb buds p
73 des a Python command line interface (CLI), a Python application programming interface (API) and an iP
74 ed and monitored using local commands or the Python Application Programming Interface (API) and cloud
78 his difference matches previous reports that pythons are more susceptible to IBD than boas and could
82 rary presented here provides an open-source, Python-based framework for modeling internal metabolic f
85 esent CRIS.py, a simple and highly versatile python-based program which concurrently analyzes next-ge
88 resent iLearn, a comprehensive and versatile Python-based toolkit, integrating the functionality of f
91 is the Lemon framework, a C++11 library with Python bindings, which provides a consistent workflow me
92 trate that a boa (Boa imperator) and python (Python bivittatus) indeed possess XY sex chromosomes, ba
93 rofiler Analyst 2.0, completely rewritten in Python, builds on these features and adds enhanced super
97 reprocessing of methylation array data using Python can accelerate data preparation for downstream me
98 h a Python front-end, any user familiar with Python can specify a genome and simulate gene expression
100 d into differential equations in Python, and Python code is automatically generated to solve the syst
103 t are read by Pycellerator, which includes a Python command line interface (CLI), a Python applicatio
104 dentify distinct sex chromosomes in boas and pythons, demonstrating that XY systems evolved independe
107 chunking for large sequence files, JSON and Python dictionary output, and built-in sequence filterin
108 .1 formatted files, parsing them into usable Python dictionary- and list-based data structures, makin
109 approach, termed Differential Expression in Python (DiffExPy), that uniquely combines discrete, diff
111 report that hindlimb development arrests in python embryos as a result of mutations that abolish ess
112 d was used to trigger column switching using Python-enabled two-way communication with the standard U
115 tical and easy to use toolkit implemented in Python for extracting various features from proteins, DN
116 ied by a support library, written in C++ and Python, for reading and writing the VDJML file format.
117 limitations, we developed SpikeInterface, a Python framework designed to unify preexisting spike sor
121 stering technique, VOCCluster, prototyped in Python, handles features of deconvolved GC/MS breath dat
125 , SHH transcription is weak and transient in python hindlimb buds, leading to early termination of a
126 lore gene family history encoded in HOGs and python HOG analysis method, a python library for program
132 sting tools with similar goals is the use of Python instead of a specifically constructed language, p
134 Kit , an open source, modular and extensible Python interface which allows facile conversion between
137 c mutation enrichment that is implemented in Python, is freely available, can be efficiently parallel
139 ehensive RESTful API and client libraries in Python, Java and JavaScript for fast programmatic access
142 the use of new programming languages (e.g., Python), learning how to apply machine-learning methods
143 ed our software to three currently available Python libraries for parsing NMR-STAR formatted files: P
144 everal programming languages and a reference Python library (phconvert), to create new Photon-HDF5 fi
145 ooler is based on HDF5 and is supported by a Python library and command line suite to create, read, i
148 e LCA* has been implemented as a stand-alone Python library compatible with the MetaPathways pipeline
149 e we present atomium, a modern, lightweight, Python library for parsing, manipulating and saving PDB,
150 ed in HOGs and python HOG analysis method, a python library for programmatic processing of genes fami
152 d pydna, an extensible, free and open source Python library for simulating basic molecular biology DN
153 is work, we aim at providing a comprehensive Python library implementing conditional random fields (C
154 ere we report an open-source and easy-to-use Python library that facilitates the parsing, manipulatio
156 s resource is available as a well-documented python library with a simple command-line interface.
157 ReproPhylo is a platform independent CC0 Python module and is easily installed as a Docker image
158 vised SugarPy, a glycan database independent Python module, and validated it on the glycoproteome of
159 oth as an easy-to-use UNIX package, and as a python module, for integration into pipelines of paired-
161 aLAFFA according to common practices while a Python module-based configuration system provides advanc
163 rce implementation of the method as a set of Python modules using the computational framework OpenStr
165 namin-related protein 1 (Drp1) underlies the Python mouse model of monogenic dilated cardiomyopathy.
167 xperimental workflow as a single, serialized Python object containing explicit provenance and environ
169 eker.pythonanywhere.com) and a user-friendly Python package (github.com/gussow/seeker) allowing resea
171 popular spike sorting codes are wrapped in a Python package and evaluated on a compute cluster using
173 pgltools": a cross platform, pypy compatible python package available both as an easy-to-use UNIX pac
179 to facilitate this task, spectrum_utils is a Python package for mass spectrometry data processing and
181 data analysis, we present scedar, a scalable Python package for scRNA-seq exploratory data analysis.
184 software ecosystem, we implemented BOFdat, a Python package for the definition of a Biomass Objective
189 sion 1.4.0), which can be installed from the Python Package Index (PyPI) using a Python package manag
191 rent stable build can be downloaded from the python package index with development builds available o
197 and line interface and an underlying modular Python package makes the full power of coevolutionary an
202 e implemented the resulting methodology in a python package specially designed to efficiently impute
204 eloped CoMut, a stand-alone, object-oriented Python package that creates comutation plots from arbitr
208 -performance data analysis pipelines or as a Python package to implement new tests and analyses.
211 Finally, we demonstrated the utility of the Python package using Staphylococcus aureus strains that
212 le both as a command line interface and as a Python package with an application programming interface
213 ratio (NVR) feature selection approach as a Python package with substantial improvements in performa
215 lipidomics data, we developed an open-source Python package, LiPydomics, which enables performing sta
218 e provide an updated toolbox, developed as a Python package, that includes new features such as graph
223 putationally efficient techniques with other Python packages (e.g., Nilearn, Scikit-learn) for file h
226 independent Analysis of Pooled Screens using Python (PinAPL-Py), which is operated as an intuitive we
228 r incorporation of other data types, modular Python plugins enable users to compute and fit data from
230 ython regius) are best explained by boas and pythons possessing an XY sex chromosome system [6, 7].
231 pen source and freely available as a C++ and Python program running on all Unix-compatible platforms.
232 We present an updated version of the popular Python program StrAuto, to streamline population structu
239 of the experimental data very natural within Python programs (i.e. "saveframe" and "loop" records rep
240 uitive dictionary-based interface with which Python programs can read, edit, and write NMR-STAR forma
242 e demonstrate that a boa (Boa imperator) and python (Python bivittatus) indeed possess XY sex chromos
243 and a sex-linked color mutation in the ball python (Python regius) are best explained by boas and py
244 analysis methods in common languages such as Python, R, and SQL; to using an interactive web applicat
246 Independent projects to create and publish Python/R native CA interface libraries have reached an a
247 ex-linked color mutation in the ball python (Python regius) are best explained by boas and pythons po
253 elationships between DWTPs and WWTPs, with a python script designed to perform a network analysis by
254 treatment by MZmine 2 followed by a homemade Python script freely available to the community that cle
255 ein structure that can be used directly in a Python script through its application programming interf
257 al records was performed using a proprietary python script to identify any mention of QT prolongation
264 DP, have been implemented in the open-source Python software FRAPOSA, available at github.com/davidda
265 Analysis and Classifier Toolkit (PACT) is a Python software package that marries the fitness metric
266 oped BrainIAK (brainiak.org), an open-source Python software package that seamlessly integrates sever
268 fferential equations, generating stand-alone Python solvers, and optionally running and plotting the
269 into the growing scientific/cheminformatics Python stack, increasing the flexibility and extendibili
270 open-source and modular pipeline written in Python that introduces a novel method of assessing probe
271 ehavior analysis pipelines using interactive Python that researchers with no prior programming experi
274 we present two different libraries in R and Python to facilitate the development of tools that can p
275 m (CERES) with a PV performance model (PVLIB-Python) to calculate the impact of aerosols and clouds o
276 We developed CONSTAX (CONSensus TAXonomy), a Python tool that compares taxonomic classifications of t
277 method, RGmatch, a flexible and easy-to-use Python tool that computes associations either at the gen
278 Additionally, we developed a command line Python tool, mirtop, to create and manage the mirGFF3 fo
279 Here, we present Tensorpac, an open-source Python toolbox dedicated to PAC analysis of neurophysiol
285 by creating custom XML requests from native Python types, allowing extensibility and straightforward
287 SequelTools is implemented in bash, R, and Python using only standard libraries and packages and is
294 MAP is a suit of programs written in C++ and Python, where each program can be run separately, or an
295 We now implement this computational tool in Python with increased usability and the capability of pe
297 dard for leveraging scientific algorithms in Python, with over 600 unique code contributors, thousand