Search Results for "example"
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Showing 33 open source projects for "example"
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AlphaGenome
Programmatic access to the AlphaGenome model
The AlphaGenome API provides access to AlphaGenome, Google DeepMind’s unifying model for deciphering the regulatory code within DNA sequences. This repository contains client-side code, examples, and documentation to help you use the AlphaGenome API. AlphaGenome offers multimodal predictions, encompassing diverse functional outputs such as gene expression, splicing patterns, chromatin features, and contact maps. The model analyzes DNA sequences of up to 1 million base pairs in length and can... -
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BioEmu
Inference code for scalable emulation of protein equilibrium ensembles
...The difference can be very large if your protein has large disordered regions, which are very likely to produce clashes. BioEmu outputs structures in backbone frame representation. To reconstruct the side-chains, several tools are available. As an example, we interface with HPacker to conduct side-chain reconstruction and also provide basic tooling for running a short molecular dynamics (MD) equilibration. -
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CPAT
RNA coding potential assessment tool
...While still very useful, these approaches have several limitations: Most lncRNAs are less conserved and tend to be lineage specific which greatly limit the discrimination power of alignment-based methods. For example, of 550 lncRNAs detected from zebrafish, only 29 of them had detectable sequence -
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AstroBioTools
Adaptive analysis of amino acid alphabets
...J. , Butch C. J., & Cleaves, H. J. (2019). Adaptive properties of the genetically encoded amino acid alphabet are inherited from its subsets. Scientific reports, 9(1), 1-9. Example program calls: ./CliAdaptiveAnalysis -i data/Table1913Aa4Prop.txt -n 100000 ./CliAdaptiveAnalysis -i data/Table1913Aa4Prop.txt -n 100000000 -v -
MongoDB Atlas runs apps anywhereMongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
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genppi
GENPPI: standalone software for creating protein interaction networks
Our software GENPPI is efficient because, for example, it creates interaction networks from the central genome of 50 species/lineages of Corynebacterium, with an average size of 2200 genes, in less than 40 minutes, on a conventional computer. Our software is compelling because the interaction networks that it creates reflect evolutionary relationships between species and obtained in Average Nucleotide Identity (ANI) analyzes. -
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CodonU
A python project for analysis of codon usage for gene or genome analys
...Start using CodonU today and see how it can revolutionize your genomics research! Find more at: https://github.com/SouradiptoC/CodonU Documentation link: https://souradiptoc.github.io/CodonU Example Link: https://github.com/SouradiptoC/CodonU/tree/master/Examples -
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GenForm
Generation of molecular formulas by high-resolution MS and MS/MS data
...Comput. Chem. 65, 259-290, 2011. The software user manual is available here: https://www.researchgate.net/publication/307964728_MOLGEN-MSMS_Software_User_Manual Example MS and MS/MS data files for GenForm can be downloaded here: https://sourceforge.net/p/genform/code/HEAD/tree/trunk/data/ A first program call could look like this: GenForm ms=SinapinicAcidMs.txt msms=SinapinicAcidMsMs.txt exist out -
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MaChIAto Example Files
The example files of MaChIAto
MaChIAto (Microhomology-associated Chromosomal Integration/editing Analysis tools); a comprehensive analysis software that can precisely classify, deeply analyze, correctly align, and thoroughly review the targeted amplicon sequencing analysis data obtained by various CRISPR experiments, including template-free gene knock-out, short homology-based gene knock-in, and even a new-class CRISPR methodology, Prime Editing. In this repository, we provide the example files of MaChIAto. You can use them as input of the MaChIAto and refer to the output data of MaChIAto. -
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MiModD
Mutation Identification in Model Organism Genomes using Desktop PCs
MiModD is a software package for genomic variant identification from next-generation sequencing (NGS) data with optimized usage of system resources and a user-friendly interface. For most model organism genomes it lets the user carry out a complete analysis from unaligned genomic NGS read data to an annotated list of variants on a regular Desktop PC within a few hours. Its user-interface is beginner-friendly and designed to encourage geneticists to analyze NGS data themselves without the... -
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TVscript
Exploration of the removal of count variable transcripts.
> See TVscript wiki: https://sourceforge.net/p/tvscript/wiki/Home/ Related Software: 1. CStone: https://sourceforge.net/projects/cstone/ 2. CSReadGen: https://sourceforge.net/projects/csreadgen/ 3. CView: https://sourceforge.net/projects/cview/ 4. ChimSim: https://sourceforge.net/projects/chimsim/ 5. TVScript: (See wiki) 6. SeQuester: https://sourceforge.net/projects/sequester/ 7. TreeScope: https://sourceforge.net/projects/treescope/ -
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FusionCatcher
Somatic fusion-genes finder for RNA-seq data
...The aims of FusionCatcher are: - very good detection rate for finding candidate fusion genes, - very easy to use (i.e. no a priori knowledge of databases and bioinformatics is needed in order to run FusionCatcher), - very good detection of challenging fusion genes, like for example IGH fusions, CIC fusions, DUX4 fusions, CRLF2 fusions, TCF3 fusions, etc. - to be as automatic as possible (i.e. the FusionCatcher will choose automatically the best parameters in order to find candidate fusion genes, e.g. finding automatically the adapters, building the exon-exon junctions automatically based on the length of the input reads, etc.) while providing the best possible detection rate for finding fusion genes. -
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Genobuntu
Genobuntu Package for Next Generation Sequencing
Genobuntu is a software package containing more than 70 software and packages oriented towards NGS. In its current version, Genobuntu supports pre assembly tools, genome assemblers as well as post assembly tools. Commonly used biological software and example script files for different assembly pipelines have also been provided, where the example script files can be updated to suit one’s experimental needs. Genobuntu attempts to reduce the amount of time and energy needed to build software workstations and it can also act as a good teaching source for a class room setting. Therefore, Genobuntu offers a well-tailored environment for both novices and experts working in the field of genome assembly. -
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GenCodeGenerator
C++ class to generate biologically plausible genetic codes
...By default, the class "GeneticCode" generates alternative genetic codes, with the reqirement of block structure, and, optionally, with the assumption of stereochemical or biosynthetic models (to impose the assumption of the adaptive model, simply filter the codes using the error_cost() function). See Appendix in Makukov & shCherbak (2017) for the description of the algorithm. The code requires Qt 5. To compile the provided example, run 'qmake' to produce the Makefile, and then run 'make' to compile the executable file. License: Public Domain. -
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MSTgold
Estimate minimum spanning trees with statistical bootstrap support
...MSTgold accepts single-character data that are nucleotides, amino acids, binary characters, or SNPs; integers that represent, for instance, the lengths of VNTRs or microsatellites; and distance matrices. The MSTgold package includes Mac OS X, Linux, and Windows executables of the MSTgold program, a detailed Manual, example data and results, and executables of the program Fasta2MSTG which converts Fasta sequence files to the MSTgold input format. -
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CoNet
Find relationships between repeatedly observed items
...It has been designed with (microbial) ecological data in mind, but can be applied in general to infer relationships between objects observed in different samples (for example between genes present or absent across organisms). -
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denovo_hit
Outputs potential denovo variants from VCF given pedigree information.
...Program can handle both annotated and unannotated VCF files, however output file is not compatible with GATK's snpEff, so you should annotate prior to using denovo_hit. Usage: ./denovo_hit <VCF file> <PED file> Output: ./potential_denovo.txt To compile: g++ -std=c++11 denovo_hit.cpp -o denovo_hit Please see files for example VCF file, and pedigree file. Format VCF file (tab delimited): CHROM, POS, ID, REF, ALT, QUAL, FILTER, INFO, FORMAT, SAMPLE_ID, ... Format pedigree file (tab delimited): SAMPLE_ID_CHILD, SAMPLE_ID_PARENT1, SAMPLE_ID_PARENT2 Output file format (tab delimited): CHROM, POS, ID, REF, ALT, QUAL, FILTER, INFO, PEDIGREE, CALL_STATS, COUNTS ... -
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PRIMUS
Pedigree Reconstruction and Identification of a Maximum Unrelated Set
...PRIMUS reads in user-generated IBD estimates and outputs the maximum possible set of unrelated individuals, given a specified threshold of relatedness. Additional information for preferential selection of individuals may also be utilized. For example, when there are two equally sized maximum sets of unrelated individuals in a network, PRIMUS can preferentially select the set with more affected individuals. Subscribe to the PRIMUS-Users e-mail list for notifications of updates and new versions. Relevant software: http://students.washington.edu/jeanm5/Simulate_IBD_Python.ta -
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MSL
http://dx.doi.org/10.1002/jcc.22968
...Philosophy The main goal is to create a set of tools that enable the computational study of macromolecules with relative ease at all levels, from simple operations (for example, load a PDB and measure a distance or edit a dihedral) to complex applications (protein modeling or design). MSL is developed in the Senes Lab at the University of Wisconsin-Madison and by a team of developers/users from other research laboratories. Reference: Kulp DW, Subramaniam S, Donald JE, Hannigan BT, Mueller BK, Grigoryan G, Senes A. ... -
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FIAP
Fully Integrated Annotation Pipeline
...This feature is extremely valuable because it allows users to add a personal “flavor” to the annotation and optimize the process for a specific bacterial genome. FIAP can annotate single and multiple sequences, which allows users to annotate, for example, draft genome contigs or different genomes concatenated in multi-fasta file in a single step. FIAP works on all UNIX-like operating systems (tested on Ubuntu 14.04 LTS and Mac OS 10.9.4). -
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IQuant
A pipeline for quantitative proteomics based upon isobaric tags
...IQuant can run from a graphical user interface (GUI) as well as a command-line interface and work with both Windows and Linux system. This website contains the IQuant software, an example data labeled by iTRAQ-8plex for testing and a user's manual. If you have any question about IQuant, please contact me: wenbo@genomics.cn. The source code of IQuant can be found here "https://sourceforge.net/p/iquant/code/". -
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RawGeno Version 2.0-1 is released! RawGeno is an R CRAN library automating the scoring of AFLP electropherograms. The library includes a graphical user interface to simplify its use. Note that the 2.0-1 version is delivered as a source (*.tar.gz for Linux and Mac users) and as a binary file (*.zip, for Windows users). The installation procedure differs slightly according to your system; but this should remain simple. Have a look at the readme file when you download your new copy...
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AMBIENT
Find active modules in metabolic networks using high-throughput data
...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. This provides an alternative to pathway/gene set enrichment analyses which is simultaneously more flexible and more specific. -
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TreeLiker
TreeLiker is a collection of fast algorithms for working with complex
TreeLiker is a collection of fast algorithms for working with complex structured data in relational form. The data can, for example, describe large organic molecules such as proteins or groups of individuals such as social networks or predator-prey networks etc. The algorithms included in TreeLiker are unique in that, in principle, they are able to search given sets of relational patterns exhaustively, thus guaranteeing that if some good pattern capturing an important feature of the problem exists, it will be found. ... -
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We present an improved ball and stick representation called HyperBalls. This type of depiction is particularly useful to represent dynamic phenomena, such as the evolution of non covalent bonds and takes advantage of GPU capabilities. HyperBalls are now fully integrated into the UnityMol software and are actively developed in that context. You will find the most up-to-date versions of the shaders in the http://unitymol.sourceforge.net project.
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Soaplab is a generator of Web Services providing a programmatic access to command-line (and other) applications on remote computers (an example of its usage is available at http://www.ebi.ac.uk/soaplab/)
