Search Results for "linux mint 19"

The RDP Classifier is a naive Bayesian classifier that can rapidly and accurately provides taxonomic assignments for bacterial and archaeal 16S rRNA sequences, fungal LSU and fungal ITS sequences, with confidence estimates for each assignment. More information and tutorials on how to install, use and retrain RDP Clasifier can be found on at https://github.com/rdpstaff/classifier and John Quensen's blog (https://john-quensen.com/). Citation: 1. Wang Q, Garrity GM, Tiedje JM, Cole JR....

The coronavirus package gives a tidy format dataset of the 2019 Novel Coronavirus COVID-19 (2019-nCoV) epidemic. Relevant and updated information about the virus, such as summary of new cases by country and total number of cases by region can be retrieved from this package. The raw data is pulled and arranged by the Johns Hopkins University Center for Systems Science and Engineering, which is gathered from various leading sources including the World Health Organization, China CDC, US CDC,...

A flexible command line tool to analyze COVID-19 csv files https://github.com/nytimes/covid-19-data https://ourworldindata.org/coronavirus-source-data The rpm build is rh7 the tgz installs on Windows cygwin.

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...

MintMCScanX is a lightweight linux virtual OS based on Mint OS xfce Rebecca. MinMCScanX comes with inbuilt installed MCScanX with all its dependencies and examples. It also harbors apache to enable developers evolve there imagination for creating custom pipelines and servers based on MCScanX. You just have to add the image file in Virtualbox and you are ready to go.

CNV calling software may produce false-positive calls due to imperfect source material. Direct inspection of the microarray data with the noise-free-cnv software helps to appreciate the quality of the data and to identify artificial calls. With noise-free-cnv it is possible to visualize individual datasets, to compare different datasets and to perform simple transformations. The visualization and the suppression of genomic waves, the comparison of two datasets by subtraction and the...

Software for making Clusters of Orthologous Groups (featuring the new EdgeSearch algorithm). Latest ref: Kristensen DM, Kannan L, Coleman MK, Wolf YI, Sorokin A, Koonin EV, Mushegian A. Bioinformatics 2010.