Open Source Python Bio-Informatics Software - Page 18

Update - SRST2 Now Available ------ 25 Sep, 2013 This project has now been replaced by SRST2 - Short Read Sequence Typing for Bacterial Pathogens, available at http://katholt.github.io/srst2/ The new SRST2 program does gene typing as well as MLST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.

The RNA Ontology Consortium proposed a translation the RNA backbone angles to 46 clusters ('suites') and hence unique names. This project calculates the suites from RNA 3D structures, and to search on a Java-based index structure of known folds.

Text2Genome is a set of scripts to extract nucleotide sequences from scientific articles and to map them to genomes and genes using a local alignment algorithm (BLAST/BLAT)

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.

trimAl can consider several parameters, alone or in multiple combinations, in order to select the most-reliable positions in the alignment. These include the proportion of sequences with a gap, the level of residue similarity and, if several alignments for the same set of sequences are provided, the consistency level of columns among alignments. Moreover, trimAl allows to manually select a set of columns and sequences to be removed from the alignment. trimAl implements a series of automated algorithms that trim the alignment searching for optimum thresholds based on inherent characteristics of the input alignment, to be used so that the signal-to-noise ratio after alignment trimming phase is increased. Among trimAl’s additional features, trimAl allows getting the complementary alignment (columns that were trimmed), to compute statistics from the alignment, to select the output file format , to get a summary of trimAl’s trimming in HTML and SVG formats, and many other options.

The aim of this project is to create an automated pipeline for taxonomic assignment of DNA sequences obtained from environmental samples. We develop a series of python scripts to process the raw sequence data obtained from benthic environmental samples and to taxonomical assignment of these sequences and finally to integrate all data in a relational database.

vipR is a program to screen for sequence variants (SNPs, deletions) in sequence data generated by high-throughput-sequencing platforms. Information on this and other projects can be found on: http://www.altmann.eu

xMariner automates the analysis of MALDI spectra and report generation

xPyder is a PyMOL plugin to analyze and visualize on the 3D structure dynamical cross-correlation matrices (DCCM), linear mutual information (LMI), communication propensities (CP), intra- and inter-molecular interactions (e.g. PSN), and more, to produce highly customizable publication-quality images. xPyder identifies networks (using concepts from graph theory, such as hubs and shortest path searching), compares matrices and focuses the analysis on relevant information by filtering the data using a modular, user-expandable plugin system that takes advantage of structural and dynamical information, contributing to bridge the gap between dynamical and mechanical properties at the molecular level.

XMIPP is an image processing suite for 3D-reconstruction of biological specimens from transmission electron microscopy data. NOTE that stable releases (including binaries) are longer stored at Sourceforge, but are available at http://xmipp.cnb.csic.es

ĄHola!, for "Hordes of Little Atoms," is a project to develop a lean, modular, scalable toolkit for massive simulations of particle (molecular) dynamics. It is written in C and Python to get the best balance between programmer and run time.

AnnTools is an efficient, fast and robust bioinformatics tool annotating SNP and CNV calls generated from sequencing and microarray data.

iMSAT represents a full update of the vcf2MSAT program. This command line python program allows for a user to use the polymorphism data generated using SAM- and BAM-tools and a .fasta alignment file to search for polymorphic microsatellite markers (MSATs or STRs). By identifying polymorphic makers, rather than simple repeat regions as previous programs have done, iMSAT greatly increases the speed at which polymorphic MSATs that can be identified -- saving researchers precious time and money. Visit http://www.biomedcentral.com/1471-2164/15/858/abstract for the pdf article describing the utility of iMSAT and if you use the program please cite this article as: Andersen and Mills: iMSAT: a novel approach to the development of microsatellite loci using barcoded Illumina libraries. BMC Genomics 2014 15:858.