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PHP language toolkit with classes for DNA and protein sequence analysis, alignment, database parsing, and other bioinformatics tools Cross-platform: GPL v2 Open Bioinformatics Foundation: Biopython: Python language toolkit Cross-platform: Biopython [2] Open Bioinformatics Foundation: BioRuby: Ruby language toolkit Linux, macOS, Windows [3] GPL ...
An older version (1.3.7) also includes InFusion, [95] MapSplice2 [96] and SoapFuse [97] to detect fusions with maximal sensitivity. [98] EricScript [99] DEEPEST is a statistical fusion detection algorithm. [100] DEEPEST can also detect Circular RNAs. DeFuse DeFuse is a software package for gene fusion discovery using RNA-Seq data. [101]
MacVector is a commercial sequence analysis application for Apple Macintosh computers running Mac OS X. It is intended to be used by molecular biologists to help analyze, design, research and document their experiments in the laboratory. MacVector 18.1 is a Universal Binary capable of running on Intel and Apple Silicon Macs.
Up until version 2.3, Keras supported multiple backends, including TensorFlow, Microsoft Cognitive Toolkit, Theano, and PlaidML. [7] [8] [9] As of version 2.4, only TensorFlow was supported. Starting with version 3.0 (as well as its preview version, Keras Core), however, Keras has become multi-backend again, supporting TensorFlow, JAX, and ...
The Standard edition adds database tools, a visual web designer, persistence tools, Spring tools, Struts and JSF tooling, and a number of other features to the basic Eclipse Java Developer profile. It competes with the Web Tools Project, which is a part of Eclipse itself, but MyEclipse is a separate project entirely and offers a different ...
Predictable runtime. Better price/performance than software sliding window aligners on current hardware, but not better than software BWT-based aligners currently. Can manage large numbers (>2) of mismatches. Will find all hit positions for all seeds. Single-FPGA experimental version, needs work to develop it into a multi-FPGA production version.
These algorithms typically do not work well for larger read sets, as they do not easily reach a global optimum in the assembly, and do not perform well on read sets that contain repeat regions. [1] Early de novo sequence assemblers, such as SEQAID [2] (1984) and CAP [3] (1992), used greedy algorithms, such as overlap-layout-consensus (OLC ...
Eclipse Deeplearning4j is a programming library written in Java for the Java virtual machine (JVM). [ 2 ] [ 3 ] It is a framework with wide support for deep learning algorithms. [ 4 ] Deeplearning4j includes implementations of the restricted Boltzmann machine , deep belief net , deep autoencoder, stacked denoising autoencoder and recursive ...