Bwasw-Cloud: Efficient sequence alignment algorithm for two big data with MapReduce.

Bwasw-Cloud: Efficient sequence alignment algorithm for two big data with MapReduce.

                               Bwasw-Cloud: Efficient sequence alignment algorithm for two big data with MapReduce.The recent next-generation sequencing machines generate sequences at an unprecedented rate, and a sequence is not short any more called read. The reference sequences which are aligned reads against are also increasingly large. Efficiently mapping large number of long sequences with big reference sequences poses a new challenge to sequence alignment. Sequence alignment algorithms become to match on two big data.

Big-Data Projects

Big-Data Projects

To address the above problem, we propose a new parallel sequence alignment algorithm called Bwasw-Cloud, optimized for aligning long reads against a large sequence data (e.g. the human genome). It is modeled after the widely used BWA-SW algorithm and uses the open-source Hadoop implementation of MapReduce. The results show that Bwasw-Cloud can effectively and quickly match two big data in common cluster.

Similar IEEE Project Titles

Save


Work Progress

PHD - 24

M.TECH - 125

B.TECH -95

BIG DATA -110.

HADOOP -90.

ON-GOING Hadoop Projects

HADOOP MAP -90.

HADOOP YARN -27.

HADOOP HEBROS - 25.

HADOOP ZOOKEEPER -18.

Achievements – Hadoop Solutions

Hadoop-Projects-Achievement-Awards

Twitter Feed

Customer Review

Hadoop Solutions 5 Star Rating: Recommended 4.9 - 5 based on 1000+ ratings. 1000+ user reviews.