Search results
Results from the WOW.Com Content Network
GenMAPP (Gene Map Annotator and Pathway Profiler) is a free, open-source bioinformatics software tool designed to visualize and analyze genomic data in the context of pathways (metabolic, signaling), connecting gene-level datasets to biological processes and disease. [1]
Free, public domain: No MSDOS, VMS Official website: CINEMA No, but can read-show 2D structure annotations ClustalW No Dotplot, 6 frame translation, Blast Nexus, MSF, Clustal, FASTA, PHYLIP, PIR, PRINTS Proprietary, freeware: No Cross-platform -Mac OS, Linux, Windows Official website: CLC viewer (free version) Commercial version only
UGENE is computer software for bioinformatics. [1] [2] It works on personal computer operating systems such as Windows, macOS, or Linux.It is released as free and open-source software, under a GNU General Public License (GPL) version 2.
Gene Designer is a computer software package for bioinformatics. [ 1 ] [ 2 ] It is used by molecular biologists from academia, government, and the pharmaceutical, chemical, agricultural, and biotechnology industries to design, [ 3 ] clone, and validate genetic sequences.
Metascape is a free gene annotation and analysis resource that helps biologists make sense of one or multiple gene lists. Metascape provides automated meta-analysis tools to understand either common or unique pathways and protein networks within a group of orthogonal target-discovery studies.
GenePattern is a freely available computational biology open-source software package originally created and developed at the Broad Institute for the analysis of genomic data. . Designed to enable researchers to develop, capture, and reproduce genomic analysis methodologies, GenePattern was first released in 20
Get AOL Mail for FREE! Manage your email like never before with travel, photo & document views. Personalize your inbox with themes & tabs. You've Got Mail!
There are two distinctive mapping approaches used in the field of genome mapping: genetic maps (also known as linkage maps) [7] and physical maps. [3] While both maps are a collection of genetic markers and gene loci, [8] genetic maps' distances are based on the genetic linkage information, while physical maps use actual physical distances usually measured in number of base pairs.