how to convert a file to fasta format in mega 7

Supports parser development by providing modules to parse a bioinformatics file into a format specific record object or a generic class of sequence plus features.Ĭlear documentation based on cookbook-style. Supports BioSQL database, which is widely used standard database amongst all bioinformatics projects. Supports journal data used in Medline applications. Supports structure data used for PDB parsing, representation and analysis. Provides microarray data type used in clustering. High-quality, reusable modules and scripts.įast array manipulation that can be used in Cluster code, PDB, NaiveBayes and Markov Model.īiopython requires very less code and comes up with the following advantages − Providing standardized access to bioinformatics resources. The specific goals of the Biopython are listed below − The goal of Biopython is to provide simple, standard and extensive access to bioinformatics through python language. Supports FASTA, PDB, GenBank, Blast, SCOP, PubMed/Medline, ExPASy-related formats.īioSQL − Standard set of SQL tables for storing sequences plus features and annotations.Īccess to online services and database, including NCBI services (Blast, Entrez, PubMed) and ExPASY services (SwissProt, Prosite).Īccess to local services, including Blast, Clustalw, EMBOSS. Interpreted, interactive and object oriented. Some of the salient features are listed below − Featuresīiopython is portable, clear and has easy to learn syntax. It has sibling projects like BioPerl, BioJava and BioRuby. It provides lot of parsers to read all major genetic databases like GenBank, SwissPort, FASTA, etc., as well as wrappers/interfaces to run other popular bioinformatics software/tools like NCBI BLASTN, Entrez, etc., inside the python environment. It runs on Windows, Linux, Mac OS X, etc.īasically, Biopython is a collection of python modules that provide functions to deal with DNA, RNA & protein sequence operations such as reverse complementing of a DNA string, finding motifs in protein sequences, etc.

It also contains C code to optimize the complex computation part of the software. It is developed by Chapman and Chang, mainly written in Python. It contains a number of different sub-modules for common bioinformatics tasks. Biopython is the largest and most popular bioinformatics package for Python.

How to convert a file to fasta format in mega 7