BOL

www.ncbi.nlm.nih.gov - HGT-Finder: (i) can be used for HGT detection in both prokaryotes and eukaryotes, (ii) can report a statistical P value for each gene to indicate how likely it is to be horizontally transferred, and (iii) is fully automated (requires...

Genetic variants discovery tool

DEPARTMENT OF BIOTECHNOLOGY (UGC SAP and DST-FIST & PURSE Sponsored Department) ALAGAPPA UNIVERSITY (A State University Accredited by NAAC with „A‟ Grade) Karaikudi - 630 004, India WALK IN INTERVIEW A walk-in Interview for the...

A large international consortium of researchers has produced the first comprehensive, detailed map of the way genes work across the major cells and tissues of the human body.

an R package for analysing ontologies and protein domain annotations

The bakers yeast, Saccharomyces cerevisiae is an ideal model organism to understand mechanisms of meiotic chromosome segregation. In S. cerevisiae and in mammals, the majority of meiotic crossovers are formed through a highly conserved MSH4p-MSH5p,...

TheLab seek to understand the genetic factors contributing to genomic variation and phenotypic diversity. To this end, we employ molecular and bioinformatic tools to study evolutionary processes at the level of populations, both experimental and...

github.com - HiCdat: a fast and easy-to-use Hi-C data analysis tool HiCdat is easy-to-use and provides solutions starting from aligned reads up to in-depth analyses. Importantly, HiCdat is focussed on the analysis of larger structural features of chromosomes,...

kissplice.prabi.fr - KisSplice is a software that enables to analyse RNA-seq data with or without a reference genome. It is an exact local transcriptome assembler that allows to identify SNPs, indels and alternative splicing events. It can deal with an arbitrary number...

www.r2d3.us - In machine learning, computers apply statistical learning techniques to automatically identify patterns in data. These techniques can be used to make highly accurate predictions. Keep scrolling. Using a data set about homes, we will...