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Specific applications of search algorithms include: Problems in combinatorial optimization, such as: . The vehicle routing problem, a form of shortest path problem; The knapsack problem: Given a set of items, each with a weight and a value, determine the number of each item to include in a collection so that the total weight is less than or equal to a given limit and the total value is as ...
Algorithm and program for comparing primary biological sequence information, including DNA and protein sequences. Cross-platform: Public domain: National Center for Biotechnology Information: CP2K: Perform atomistic simulations of solid state, liquid, molecular and biological systems, written in Fortran 2003. Linux, macOS, Windows: GPL and LGPL
Wherever possible, Biopython follows the conventions used by the Python programming language to make it easier for users familiar with Python. For example, Seq and SeqRecord objects can be manipulated via slicing, in a manner similar to Python's strings and lists. It is also designed to be functionally similar to other Bio* projects, such as ...
MassMatrix is a database search algorithm for tandem mass spectrometric data. It uses a mass accuracy-sensitive, probabilistic scoring model to rank peptide and protein matches. MassWiz Open source: MassWiz is a search algorithm developed at the Institute of Genomics and Integrative Biology that can be used as a Windows command-line tool.
Python tool for modeling and analyzing SBML models [21] [22] [23] multiplatform (Python) BSD-3: Yes pySB: Python-based [24] platform with specialization in rule-based models. multiplatform (Python) BSD-3: Partial ReaDDy: Particle-based spatial simulator with intermolecular potentials [25] Linux and Mac: Custom: Not applicable SBSCL
fastqp Simple FASTQ quality assessment using Python. Kraken: [9] A set of tools for quality control and analysis of high-throughput sequence data. HTSeq [10] The Python script htseq-qa takes a file with sequencing reads (either raw or aligned reads) and produces a PDF file with useful plots to assess the technical quality of a run.
This algorithm typically determines all clusters at once. Most applications adopt one of two popular heuristic methods: k-means algorithm or k-medoids. Other algorithms do not require an initial number of groups, such as affinity propagation. In a genomic setting this algorithm has been used both to cluster biosynthetic gene clusters in gene ...
orfipy is a tool written in Python / Cython to extract ORFs in an extremely and fast and flexible manner. [ 22 ] orfipy can work with plain or gzipped FASTA and FASTQ sequences, and provides several options to fine-tune ORF searches; these include specifying the start and stop codons, reporting partial ORFs, and using custom translation tables.