kitesugar Goto Github PK

bioinfo_analyzingmsa

Multiple Sequence Alignment(MSA) is a biological concept of aligning three or more sequences. It is of great importance for studying the genetic functions, structures and evolution process of the biological sequences. The aligning of multiple sequences is one of the most fundamental problems in Bioinformatics and it has been widely used for a lot of biological applications like predicting the shapes of proteins, constructing the phylogeny trees, etc . MSAs demand extremely sensitive computational methodologies to come up with precise results. The objective of this project is to conduct a comparative study on various MSA tools on the basis of computation time, accuracy, memory use and sequence length to identify the best use-case for each.

bioinformatics_cs310

Dynammic programming, classification, clustering, Hidden Markov Models and multiple sequence alignment

comparative-analysis-of-multiple-alignment-algorithms-for-the-study-of-multiple-sequences-alignments

Conducted a research case study of comparing and analyzing two of the most widely used Multiple Sequence Alignment algorithms (MUSCLE and CLUSTAL OMEGA) for the study of protein nucleotides.  The algorithms were examined and evaluated along the metrics of standard gold benchmark like PREFAB, OXBENCH, and time and space complexities.

edge-cumputing

haohao

描述信息

mylinux

leraning

nips17-rexgen

Predicting Organic Reaction Outcomes with Weisfeiler-Lehman Network (NIPS 2017)

rexgen_direct

Template-free prediction of organic reaction outcomes

seckill

苗苗 约苗 九价 秒杀 脚本

tcoffee

A collection of tools for Multiple Alignments of DNA, RNA, Protein Sequence

test

描述信息