Genomics has been an important challenging area for researches for the past ten years. One among the application Genomics is the comparative assessment in drug designing to combat many diseases. Studies also included the development of novel structures. It noteworthy to note that humans share similar attributes despite the diversity in living style, habits and functions. DNA is such a valuable treasury acting as the instruction manual for species functions. DNA has four nitrogen bases namely Adenine, guanine, Cytosine and Thiamine. The sequence of nucleotide triphosphates determines the genotypic and phenotypic characteristics of species. To extract the valuable information is critical in different disciplines of genomics and bioinformatics and also to store the data so big data is used for huge data storage. There is an association between mechanical exposure and risks of occurrence of shoulder disorders. However, only some part will be addressed and rectified. Therefore, the treatment for shoulder pain has become a challenge due to many bio-psycho-social factors. The current research is on shoulder pain analysis in a new approach of using Deep learning methods like K-Nearest Neighbour and Convolution Neural Network based on protein sequences, enabling clinicians to provide better treatment for various shoulder disorders

Deep learning, K-NN, CNN, Big Data, Shoulder Pain, protein sequences