Search Results for "context-shredder"

Evo 2 is a DNA language model system designed for long-context genome modeling and biological sequence design across all domains of life. The project models DNA at single-nucleotide resolution and supports context windows of up to one million base pairs, which places it in a class of models built for very large genomic reasoning tasks. According to the repository, it uses the StripedHyena 2 architecture, was pretrained with Savanna, and was trained autoregressively on the OpenGenome2 dataset containing 8.8 trillion tokens. ...

Raw genomic sequences are frequently contaminated with sequences of other organism. Their identification is essential for the interpretation of genomic data. In this context it is essential to distinguish between horizontal gene transfers and contamination. The genomic context of sequences can help distinguish the two scenarios. Taxoblast splits genomic scaffolds into sub-sequences of defined length and for each of them determines the closest related taxon. It then summarizes this information for the entire scaffold, taking into account the taxonomic ontology. ...

Now in Github: https://github.com/dnaase/Bis-tools/tree/master/Bis-SNP BisSNP is a package based on the Genome Analysis Toolkit (GATK) map-reduce framework for genotyping in bisulfite treated massively parallel sequencing (Bisulfite-seq, NOMe-seq and RRBS) on Illumina platform. It uses bayesian inference with either manually specified or automatically estimated methylation probabilities of different cytosine context(not only CpG, CHH, CHG in Bisulfite-seq, but also GCH et.al. in other bisulfite treated sequencing) to determine genotypes and methylation levels simultaneously. It works for both of single-end and paired-end reads.Specificity and sensitivity has been validate by Illumina IM SNP array. In default threshold 30X data (Phred scale score > 20), it could detect 92.21% heterozygous SNPs with 0.14% false positive rate Cytosine calling is not only based on reference context, so it could detect non-reference cytosine context. ...

Kinannote identifies and classifies protein kinases in a user-provided fasta file using an HMM derived from serine/threonine protein kinases, a position specific scoring matrix derived from the HMM, and comparison with a local version of the curated kinase database from kinase.com. If the user inputs a complete proteome, additional modules evaluate the completeness of the kinome and place it in context with reference kinomes. Kinannote runs on a unix command line and depends on local hmmer 2 and Blast 2.24 installations. Citing Kinannote: Kinannote, a computer program to identify and classify members of the eukaryotic protein kinase superfamily Jonathan M. Goldberg; Allison Griggs; Janet L. Smith; Brian Haas; Jennifer Wortman; Qiandong Zeng Bioinformatics 2013; doi: 10.1093/bioinformatics/btt419 http: http://bioinformatics.oxfordjournals.org/content/29/19/2387.full pdf: http://bioinformatics.oxfordjournals.org/content/29/19/2387.full.pdf+html

... (3) Spectral matches can be visualized for the quality assessment. (4) Lists out the novel proteins and changes in the existing protein annotations. (5) A Visual genomic context of the novel peptides can also be generated.

miRStat enables identification of regulatory microRNA targeting several genes in a custom gene group. This Python application is based on the TargetScan 6.2 microRNA target prediction data. Conserved and Nonconserved site context+ scores files are required (unzip and place to directory with program). Available at http://targetscan.org/cgi-bin/targetscan/data_download.cgi?db=vert_61

The characterization of genomic sites is a major challenge in the understanding and exploitation of next generation sequencing data. Most genomic sites are represented by short, degenerated motifs with a scattered distribution and sometimes with biological function (ex: regulation of gene expression, splicing patterns or epigenetics signals). These motifs are associated with a huge amount of noise and thus, the development of a computational platform for accurate detection of genomic sites...

The Systems Biology Ontology project (SBO) goal is to develop controlled vocabularies and ontologies tailored specifically for the kinds of problems being faced in Systems Biology, especially in the context of computational modeling. !!!! Important Announcement !!!! We have moved the curation and development of Systems Biology Ontology (SBO) to a git-hub repository https://github.com/EBI-BioModels/SBO. Hence, this SourceForge SBO project has also been retired. Please use the Git-Hub issue tracker https://github.com/EBI-BioModels/SBO/issues to request the addition of new terms.

...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. ...

Provides bitwise, context-based 2nd generation data compression for large FASTQ-based files

...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.

3D Genome Tuner draws circular genome map and enables viewing multi-genomes in 3D context. It also provides genome analysis and sequence alignment, making it a powerful tool in genome studies and demonstrations.

Software environment for manipulation of DNA and protein sequences in a phylogenetic context.

A Java application used in whole genome analysis to display SNPs in a genomic context. Supplementary data is downloaded from various public data sources on the fly and saved locally in a cache. Custom data can be added as supplementary tracks.

Genome Expression Pathway Analysis Tool - Analysis and Visualization of Microarray Gene Expression Data under Genomic, Proteomic and Metabolic Context

COBALT (COntext-based AnaLysis of Transcription factor binding sites) is a novel package to predict DNA-binding sites based on their cis-regulatory context.

Genetic programming environment to inference context free grammars base on positive and negative examples of language.

The LexGrid Editor is an Eclipse-based open source tool for authoring, viewing, and maintaining lexical resources that conform to a formal terminology model. Resources can be developed locally or viewed in context of a networked 'grid' of terminologies

UIMA-compliant text analytics using a rule language in which to express context-sensitive constraints on syntactic and semantic text elements.