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Learn More about  Computer Aided Drug Designing (CADD)!!! #rasalsi #rasa In our Industrial program you will get Knowledge on RNA Seq, CHIP Seq, Batch Starts From 18th November 2019 #hurryup #registernow #enquirenow The primary goal of the...

Bioinformatics-Multi_Omics_Integration https://www.researchgate.net/job/939073_Senior_Scientist_Bioinformatics-Multi_Omics_Integration Senior_Scientist_Bioinformatics-Transcriptomics_Analysis...

github.com - Parliament2 identifies structural variants in a given sample relative to a reference genome. These structural variants cover large deletion events that are called as Deletions of a region, Insertions of a sequence into a region, Duplications of a...

Experience in Next Generation Sequencing (NGS) application and interest in Genomics/ Clinical / Translational Applications. OR Good computational programming skills and deep interest in working on interface of Genomics and Clinical application....

Workflow Managers

qualimap.bioinfo.cipf.es - Qualimap 2 is a platform-independent application written in Java and R that provides both a Graphical User Inteface (GUI) and a command-line interface to facilitate the quality control of alignment sequencing data and its derivatives like...

github.com - Tool for detecting and cleaning PacBio / Nanopore long reads after whole genome amplification. Check the poster from the Revolutionizing Next-Generation Sequencing (2nd edition) conference in the source...

github.com - The goal of the Shasta long read assembler is to rapidly produce accurate assembled sequence using as input DNA reads generated by Oxford Nanopore flow cells. Computational methods used by the Shasta assembler include: Using...

github.com - genome simulation across a population with zeta-distributed allele frequency, snps, insertions, deletions, and multi-nucleotide polymorphisms More at https://github.com/ekg/mutatrix ./mutatrix -S sample -P test/ -p 2 -n 10 reference.fasta

http://efs.heiderlab.de/ - The software EFS (Ensemble Feature Selection) makes use of multiple feature selection methods and combines their normalized outputs to a quantitative ensemble importance. Currently, eight different feature selection methods have been integrated in...