Search Results for "gnu/linux" - Page 8
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Showing 404 open source projects for "gnu/linux"
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tigreBrowser is a web-based browser for ranking results from R/Bioconductor package tigre and similar tools. It allows easy viewing, sorting and filtering of visualisations of models produced by tigre.
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dna-barcode
Find and analyze barcodes in DNA sequence files
Find and analyze barcodes in DNA sequence files -
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MaryGold
Variation analysis of metagenomic samples
The package enables detection of sequence variation between metagenomic samples. -
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A collection of bioinformatics-related software created by members of Cancer Research UK (possibly among others).
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Genetic data converter
Convert genetic data for hapmixmap software
Genetic data converter, for hapmap.org and hapmixmap data formats. Reads data in tabular format and writes in hapmixmap format. It's possible to add extensions to output different data formats. -
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Genomic Binding Sites Analyser (BiSA)
Genomic Region Archiving and Binding Sites Analysis (BiSA)
BiSA is a bioinformatics database resource that allows investigators to run a number of overlapping genomic region analyses using their own datasets, or against the pre-loaded Knowledge Base. Analysis results can be restricted to a chromosome; the minimum base pair overlap in two sets or maximum distance between regions can be set; as can the maximum allowed distance between region centres. BiSA is capable of reporting overlapping regions that share common base pairs; regions that are... -
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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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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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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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ScreenSifter
ScreenSifter is a unique tool for RNAi Screen analysis and management
ScreenSifter can help you in managing all your RNAi screens related projects in organized fashion. ScreenSifter, to perform the sequential, user friendly, guided, and advanced statistical analyses of RNAi screening results. User can upload their raw signal intensities and will avail complete quality control of screen, hit selection, plotting of hit genes with gene ontology, comparing of replicates or comparing of channels. In addition, ScreenSifter has visualization tools to plot specific... -
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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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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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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. Original script written in Mathematica by CHCannon. -
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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/).
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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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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
IMPORTANT: Since publication of the AMBIENT method in BMC Sys Bio, several updates have been made. 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... -
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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.
