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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....

github.com - VariantBam is a tool to extract/count specific sets of sequencing reads from next-generational sequencing files. To save money, disk space and I/O, one may not want to store an entire BAM on disk. In many cases, it would be more efficient to store...

github.com - Welcome to kevlar, software for predicting de novo genetic variants without mapping reads to a reference genome! kevlar's k-mer abundance based method calls single nucleotide variants (SNVs), multinucleotide variants (MNVs),...

github.com - pbmm2 is a SMRT C++ wrapper for minimap2's C API. Its purpose is to support native PacBio in- and output, provide sets of recommended parameters, generate sorted output on-the-fly, and postprocess alignments. Sorted output can be used directly for...

Pacbio file name explained !

github.com - INC-Seq reads enabled accurate species-level classification, identification of species at 0.1 % abundance and robust quantification of relative abundances, providing a cheap and effective approach for pathogen detection and microbiome profiling...

github.com - ALPACA requires Celera Assembler 8.3 or later. It is recommended to build Celera Assembler from source. (Why? The pre-built binaries CA_8.3rc1 and CA8.3rc2 will work for any large data set.  Detail paper...