Search Results for "python-gtksourceview2" - Page 8
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Showing 378 open source projects for "python-gtksourceview2"
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alignlib is a C++ library for computing and manipulating sequence alignments of protein sequences. Most of the functions and classes are exported to python thus permitting easy scripting of complex tasks. Alignlib has moved to github (https://github.com/AndreasHeger/alignlib)
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EASER
Ensembl Easy Sequence Retriever
Maldonado E, Khan I, Philip S, Vasconcelos V, Antunes A (2013) EASER: Ensembl Easy Sequence Retriever. Evolutionary Bioinformatics, 9:487-490. doi: https://doi.org/10.4137/EBO.S11335. -
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srst
Short Read Sequence Typing
Update - SRST2 Now Available ------ 25 Sep, 2013 This project has now been replaced by SRST2 - Short Read Sequence Typing for Bacterial Pathogens, available at http://katholt.github.io/srst2/ The new SRST2 program does gene typing as well as MLST (e.g. typing resistance genes, virulence genes, etc). SRST2 is faster and more accurate than the old SRST, using bowtie2 to achieve local alignments (no need for flanking sequences) and a brand new scoring system. -
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DeDAY
MLE survival analysis: Gompertz, Weibull, Logistic and mixed morality.
DeDAY (Demography Data Analyses) is a tool of analyzing demography data. It supports Gompertz, Weibull and Logistic distributions. DeDay also supports mixed mortality models based on these distribution such as the Gompertz-Makeham distribution. Distributions such as Gompertz describes only age-dependent mortality, which increases over time. Mixed mortality models, such as in Gompertz-Makeham distribution, consider a more general case where mortality is consist of both age-dependent and... -
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PolyCTLDesigner
Python scripts for designing polyepitope T-cell immunogens
Given the peptides (T-cell epitopes) PolyCTLDesigner selects flanking sequences to optimize TAP-binding and joins resulting oligopeptides into a polyepitope in a way providing efficient liberation of potential epitopes by proteasomal and/or immunoproteasomal processing and minimizing the number of junctional epitopes. For constructing polyepitopes PolyCTLDesigner utilizes known amino acid patterns of proteasome cleavage and TAP-binding specificity. PolyCTLDesigner is also able to choose... -
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Tuque
Tools for mapping RNA-Seq reads to eukaryotic genomes
Tuque includes 4 programs: tuqueIndex to prepare Bowtie indexes that include spliced sequences tuqueMap to map reads using the prepared indices tuqueSplice to find splice junctions from the reads tuqueCount to count the reads mapping within annotated sequence intervals -
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CDSbank
multi-sequence extraction, filtering & formatting
CDSbank is a database that stores both the protein-coding DNA sequence (CDS) and amino acid sequence for each protein annotated in Genbank. CDSbank also stores Genbank feature annotation, a flag to indicate incomplete 5’ and 3’ ends, full taxonomic data, and a heuristic to rank the scientific interest of a species. This rich information allows fully automated data set preparation with a level of sophistication that meets or exceeds manual processing. Defaults ensure ease of use for typical... -
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Webapp
A web interface to the SnowyOwl gene prediction pipeline
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SLiMScape
A Protein Short Linear Motif Analysis Plugin for Cytoscape
SLiMScape adds Short linear motif discovery tools to Cytoscape, transforming it into a SLiM discovery platform. A tutorial is available at the following URL: http://bioware.ucd.ie/slimscape/ -
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hrefinder
Detection of homologous recombination events from SNP data
This software detects homologous recombination events (HREs) from SNP data. Based on SNP alleles calls and locations, it breaks the genomes into locally colinear blocks, and looks for cases where SNPs do not agree with the vertical pattern of inheritance in a phylogeny. It applies a dynamic programming algorithm to model whether changes within a block are likely a result of mutations, sequencing errors, or HRE. We use information from the nearby SNPs, so that if 1-2 alleles in a series of... -
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ReferenceFree
Scripts for reference free genomic analysis
These are Python scripts plus C/C++ programs for automating the reference free genomic analysis described in: Kua C-S, Ruan J, Harting J, Ye C-X, Helmus MR, et al. (2012) Reference-Free Comparative Genomics of 174 Chloroplasts. PLoS One 7(11). http://www.plosone.org/article/info%3Adoi%2F10.1371%2Fjournal.pone.0048995 Analytical concept conceived by CHCannon and CSKua. -
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ARDEN
Specificity Control for Read Alignments Using an Artificial Reference
We introduce ARDEN (Artificial Reference Driven Estimation of false positives in NGS data), a novel benchmark that estimates error rates based on real experimental reads and an additionally generated artificial reference genome. It allows the computation of error rates specifically for a dataset and the construction of a ROC-curve. Thereby, it can be used to optimize parameters for read mappers, to select read mappers for a specific problem or also to filter alignments based on quality estimation. -
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AMBIENT
Find active modules in metabolic networks using high-throughput data
...If you wish to use the version used in the paper it is v0.6.3, however I recommend using the latest version which works in the same way but with additional options and has stability and performance improvements. Thanks for your interest! AMBIENT (Active Modules for Bipartite Networks) is a Python module that uses simulated annealing to find areas of a metabolic network (modules) that have some consistent characteristic. AMBIENT does not require predefined pathways and gives highly specific predictions of affected areas of metabolism. For example, scores for reactions based on transcriptional data of their annotated encoding genes can be used in the network and modules of coordinated expression changes can be found. ... -
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A set of very optimized tools for indexing/querying huge genomes/files. Provided so far: a very fast exact mapper, and an unconstrained split-mapper
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GS junior Webserver
GS junior Webserver
GS junior Webserver is a web based file server to easily access sequencing data of -
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The igraph library
Library for creating and manipulating graphs
This is a library for creating and manipulating graphs with focus on speedy operations for large, sparse graphs. -
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Application to create 'electronic fluorescent pictographic' representations of gene expression patterns. Created at the Provart lab of the department of Cell & Systems Biology, University of Toronto.
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GEPETTO - Gene Prioritization in Java
GEPETTO (GEne Prioritization ExTended TOol)
...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 -
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StabiTissue
3D Stabilization software for intravital imaging of mouse organs
- 2D Stabilization in each slice of the stacks in time. - 3D Stabilization intravital imaging of all the stacks (including the dimension Z) - create the videos and the stabilized images in a new folder -
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SpiKeDeteKt
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 ( -
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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.
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The PyCogent project is moving to GitHub. When completed, you will find us at http://github.com/pycogent/pycogent/. You can find the PyCogent website at http://www.pycogent.org.
