International Journal of Trend in Scientific Research and Development: Bioinformatics

Showing posts with label Bioinformatics. Show all posts

Monday 19 July 2021

Eko Artificial Life, Determinacy of Ecological Resilience and Classification of Closed Ecosystems

Team IJTSRD July 19, 2021 0

Simulating the effects of biotic and a biotic interactions with or without human interference to compute ecological resilience within a closed ecosystem. Simulating a set food chain in the said ecosystem and studying the effects of biotic factors on the biotic chains and vice versa. Classifying and comparing various closed ecosystems on the said parameters and determinacy of the stability of an ecosystem over time. Study of various a biotic compound statistics via graphical representations in a time controlled order. Ability to introduce new species, remove existing ones or change the concentration amounts of current biotic parameters and thus study various results in a cause effect relationship. Time factoring and control over biotic gene pool to affect ecosystems on both a macro and micro scale. In depth latency about ecosystems in the gaming industry, weather simulators, and life perseverance of various endangered and threatened species along with sustainable resource control.

by Ankita Dhillon | Kirti Bhatia | Rohini Sharma "Eko: Artificial Life, Determinacy of Ecological Resilience and Classification of Closed Ecosystems" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-5 | Issue-5 , August 2021,

URL: https://www.ijtsrd.com/papers/ijtsrd46318.pdf

Paper URL: https://www.ijtsrd.com/computer-science/bioinformatics/46318/eko-artificial-life-determinacy-of-ecological-resilience-and-classification-of-closed-ecosystems/ankita-dhillon

callforpapermedicalscience, medicalsciencejournal, manuscriptsubmission

Saturday 3 April 2021

Exploring Molecular Targets for Repositioning of Hypertensive Drugs

Team IJTSRD April 03, 2021 0

Bioinformatics

Drug repositioning or drug repurposing or drug profiling is the discovery of new applications for approved or failed drug.. Drug repositioning is the development of new approved drug applications. The cost of bringing a medicine to the market is around one million which include clinical and preclinical trials. Repositioning of drugs help in cutting down costs as well as time involve in intial validation and authorization. The procedure involved in Drug repositioning is generally performed during the drug development phase to modify or extend an active molecules distribution line. On a fundamental level, repositioning opportunities exist because drugs perturb multiple biological entities and engage themselves in multiple biological processes. Therefore, a drug can play multiple roles or perform a various mode of actions that are responsible for its pharmacology. Hypertension, is a condition that causes increase in the risk of cardiovascular diseases. In this study an attempt has been made to reposition hypertensive drugs for different diseases by exploring molecular targets of hypertensive drugs. Consider that they often need to be administered for long periods of time, often over whole life time Side effects although present, have been found safe enough to be used for such long durations, hence repurposing these drugs for other diseases may be beneficial with limited side effects.

by Bhawna Singh | Asmita Das "Exploring Molecular Targets for Repositioning of Hypertensive Drugs"

Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-5 | Issue-3 , April 2021,

URL: https://www.ijtsrd.com/papers/ijtsrd39910.pdf

Paper URL: https://www.ijtsrd.com/biological-science/bioinformatics/39910/exploring-molecular-targets-for-repositioning-of-hypertensive-drugs/bhawna-singh

peerreviewedinternationaljournal, paperpublicationforstudent

Sunday 14 June 2020

Fingerprint Recognition using 3D Touchless Technology

Team IJTSRD June 14, 2020 0

Bioinformatics

Fingerprint Recognition using 3D Touchless Technology

Fingerprint is a unique pattern composed of ridges and furrows on the surface of human finger. This fingerprint can be used For providing biometric security and to identify criminal. Biometric fingerprint can replace old password and token authentication. In todays time most of the private government organizations are using 2d touch based fingerprint recognition, But in this pandemic situation of covid 19. A 3d touchless fingerprint technology will be the best alternative for maintaining human hygiene and to protect people from getting affected by corona virus. So in this topic we are going to cover the touchless fingerprint recognition using 3d technology.

by Sneha Gorakshnath Kshirsagar | Vikas Vasudev Naik ""Fingerprint Recognition using 3D Touchless Technology""

Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-4 | Issue-4 , June 2020,

URL: https://www.ijtsrd.com/papers/ijtsrd31485.pdf

Paper Url :https://www.ijtsrd.com/computer-science/bioinformatics/31485/fingerprint-recognition-using-3d-touchless-technology/sneha-gorakshnath-kshirsagar

callforpaperinternationaljournal, ugclistofjournals, bestinternationaljournal

Thursday 30 May 2019

MRI Image Segmentation by Using DWT for Detection of Brain Tumor

Team IJTSRD May 30, 2019 0

Bioinformatics

MRI Image Segmentation by Using DWT for Detection of Brain Tumor

Brain tumor segmentation is one of the critical tasks in the medical image processing. Some early diagnosis of brain tumor helps in improving the treatment and also increases the survival rate of the patients. The manual segmentation for cancer diagnosis of brain tumor and generation of MRI images in clinical routine is difficult and time consuming. The aim of this research paper is to review of MRI based brain tumor segmentation methods for the treatment of cancer like diseases. The magnetic resonance imaging used for detection of tumor and diagnosis of tissue abnormalities. The computerized medical image segmentation helps the doctors in treatment in a simple way with fast decision making. The brain tumor segmentation assessed by computer based surgery, tumor growth, developing tumor growth models and treatment responses. This research focuses on the causes of brain tumor, brain tumor segmentation and its classification, MRI scanning process and different segmentation methodologies.

By Ishu Rana | Gargi Kalia | Preeti Sondhi "MRI Image Segmentation by Using DWT for Detection of Brain Tumor"

Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-3 | Issue-4 , June 2019,

URL: https://www.ijtsrd.com/papers/ijtsrd25116.pdf

Paper URL: https://www.ijtsrd.com/computer-science/bioinformatics/25116/mri-image-segmentation-by-using-dwt-for-detection-of-brain-tumor/ishu-rana

paper publication, peer reviewed journal, paper publication for student

Friday 17 May 2019

Artificial Neural Network Based Detection of Renal Tumors using CT Scan Image Processing

Team IJTSRD May 17, 2019 0

Bioinformatics

Artificial Neural Network Based Detection of Renal Tumors using CT Scan Image Processing

The segmentation, as well as analysis of renal tumor, is important to step which is performed by the doctor while deciding the stage of cancer and finding the appropriate method of its treatment. This paper determines a novel approach in order to develop an algorithm which helps in detecting and analysis of renal cancer tumors. The developed algorithm has been employed to segment and pre processes the image for its better visualization and segment the visible tumor. The pre processing has a hybrid filter for image enhancement and noise removal. An artificial neural network is also used by Hybrid Self Organizing Maps. It uses the clustering of image data to highlight the detected region. The appropriate output is obtained according to the medical field and it is compared with the resultant image to improve the algorithm. It helps in understanding the affected region in the human body and for better visualization. A region growing method is also applied for finding the same intensity images in images and to segment out the tumor from the processed image. The objective of this paper is to create a CT image database and then apply pre processing methods on the image. The image segmentation is done by using Haar wavelet. The boundary is also detected by using canny. The feature extraction is applied to the image on the basis of shape, intensity, and texture and after that Fuzzy clustering is applied to get the optimized segmented image.

By Gurpreet Kaur | Gargi Kalia | Preeti Sondhi "Artificial Neural Network Based Detection of Renal Tumors using CT Scan Image Processing"

Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-3 | Issue-4 , June 2019,

URL: https://www.ijtsrd.com/papers/ijtsrd25090.pdf

Paper URL: https://www.ijtsrd.com/computer-science/bioinformatics/25090/artificial-neural-network-based-detection-of-renal-tumors-using-ct-scan-image-processing/gurpreet-kaur

list of ugc approved journals, ugc approved journals for engineering, ugc approved journals for chemistry

Wednesday 23 January 2019

Computational Analysis of RNA Nucleotide Sequences

IJTSRD January 23, 2019 0

Bioinformatics

Computational Analysis of RNA Nucleotide Sequences

One of the most fascinating and deeply researched fields of all of the biochemical components are the nucleic acids and proteins, especially because of their dynamic structure and function and their fundamental role in the course of evolution. Sequence studies have been carried out and is still being researched on to decode completely the world of genetics and molecular biology. And so, here we present our concept in the form of a simple program that has been developed for analyzing the Amino acid sequence from a given sequence of RNA nucleotide bases, and using the result of which, further, interpretation of the corresponding protein can be done.

by Shall Juneja | Deepayan Mukherjee | Sachi Garg "Computational Analysis of RNA Nucleotide Sequences"

Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-3 | Issue-2 , February 2019,

URL: https://www.ijtsrd.com/papers/ijtsrd21342.pdf

Paper URL: https://www.ijtsrd.com/biological-science/bioinformatics/21342/computational-analysis-of-rna-nucleotide-sequences/shall-juneja

call for paper medical science, medical science journal, manuscript submission

Sunday 7 October 2018

Biocomputing

IJTSRD October 07, 2018 0

Bioinformatics

Biocomputing is an interdisciplinary research area which combines biology, computer science, and engineering. It is the process of building computers that use biological materials.

It uses systems of biologically derived molecules, such as proteins and DNA, to perform computational calculations. This paper provides a brief introduction to biocomputing.

by Matthew N. O. Sadiku | Nana K. Ampah | Sarhan M. Musa "Biocomputing"

Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-2 | Issue-6 , October 2018,

URL: http://www.ijtsrd.com/papers/ijtsrd18825.pdf

Direct Link: http://www.ijtsrd.com/computer-science/bioinformatics/18825/biocomputing/matthew-n-o-sadiku

multidisciplinary journal, paper publication for engineering, biological science journal

Saturday 22 September 2018

A Survey on Various Disease Prediction Techniques

IJTSRD September 22, 2018 0

Bioinformatics

A Survey on Various Disease Prediction Techniques

An analysis of various diseases have been predicted using multiple data mining and text mining techniques. In this article we are going to discuss about 6 prediction techniques. Using gene expression pattern we predict the disease outcome and implementation of pathway based approach for classifying disease based on hyper box principles, we also present a novel hybrid prediction model with missing value imputation HPM-MI which analyze imputation using simple k-means clustering.

A technique based on CCAR Constraint Class Association Rule has been used for reducing time consumption in prediction of a particular disease. We have discussed about text mining technique and their applications. Another technique has also been studied about hyper triglyceride mia from anthropometric measures which diverge according to age and gender. Using multilayer classifiers for disease prediction we can achieve high diagnosis accuracy and high performance.

by C. Leancy Jannet | G. V. Sumalatha "A Survey on Various Disease Prediction Techniques"

Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-2 | Issue-6 , October 2018,

URL: http://www.ijtsrd.com/papers/ijtsrd18624.pdf

Direct Link: http://www.ijtsrd.com/biological-science/bioinformatics/18624/a-survey-on-various-disease-prediction-techniques/c-leancy-jannet

research publication, international peer reviewed journal, engineering journal

Monday 10 September 2018

Secure E-Banking Using Bioinformatics

IJTSRD September 10, 2018 0

Bioinformatics

During the past decade e banking has emerged with enormous speed. The use of e banking and the application of e banking is now enormous these days.

But the modern banking completely relies on internet and computer technology, the threats and the chances of breaching the security has also increased.

We are totally dependent on the internet to carry out the transactions and the daily routines in the banks. Thus there is the immense need of increasing the security in the banking field.

We have developed the system in which we have developed a secure banking system. We are using Finger print authentication device and the GSM module to carry out the functionalities of the system.

by Bilal Hussain Ch | Subayyal "Secure E-Banking Using Bioinformatics"

Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-2 | Issue-6 , October 2018,

URL: http://www.ijtsrd.com/papers/ijtsrd18455.pdf

Direct Link: http://www.ijtsrd.com/computer-science/bioinformatics/18455/secure-e-banking-using-bioinformatics/bilal-hussain-ch

indexed journal, peer reviewed international journal, paper publication in management

Securing Cloud Data with the Application of Image Processing

IJTSRD September 10, 2018 0

Bioinformatics

Securing Cloud Data with the Application of Image Processing

Cloud computing is a new paradigm of shifting resources over the network so that the user can access the resources over the network. The resource mainly consists of Platform as a service, Software as service, and infrastructure as a service. Cloud computing is a basically internet based computing where the services are provided on pay as you go model.

The consumers pay for the services they want and services are provided to them on cloud. Since cloud uses distributed resourcing scheme it is important to provide security in the cloud. And we also know that security is the main problem in cloud. It is mainly the loop hole in cloud which requires serious attention.

In this paper we have described the scheme to implement security in cloud using finger print reader and GSM module. In this paper first we have discussed the security issues and security problem and we have enlighten the steps to increase the security in cloud. Our methodology mainly focuses on finger print scanner and GSM module.

Bilal Hussain Ch | Subayyal "Securing Cloud Data with the Application of Image Processing"

Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-2 | Issue-6 , October 2018,

URL: http://www.ijtsrd.com/papers/ijtsrd18454.pdf

Direct Link: http://www.ijtsrd.com/computer-science/bioinformatics/18454/securing-cloud-data-with-the-application-of-image-processing/bilal-hussain-ch

call for paper in ugc approved journals, international journal of science, paper publication in science

An Attendance Monitoring System Using Biometric Technology and GSM Module

IJTSRD September 10, 2018 0

Bioinformatics

An Attendance Monitoring System Using Biometric Technology and GSM Module

Biometric technology that involves the identification and verification of the individuals by analyzing finger print is now being used in the various and wide aspects of our life. Biometric system includes various identification and verification methods in which the finger print detection is one of the most widely used and accepted method.

In this paper we are proposing and developing a system which includes finger print detection and GSM module for the attendance and for the report generation of the students. We have developed various algorithms that convert the image of the finger in to the binary form and store it in the database.

We are extracting features of the finger print and we are identifying finger print on the basis of these extracted features. We have developed a whole system in which first the student is registered and then authenticated and the attendance is counted and at the end the report is generated and that report will be send to the parents of the students.

by Bilal Hussain Ch | Subayyal "An Attendance Monitoring System Using Biometric Technology and GSM Module"

Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-2 | Issue-6 , October 2018,

URL: http://www.ijtsrd.com/papers/ijtsrd18453.pdf

Direct Link: http://www.ijtsrd.com/computer-science/bioinformatics/18453/an-attendance-monitoring-system-using-biometric-technology-and-gsm-module/bilal-hussain-ch

call for paper papers conference, international journal of management, open access journal of management

Sunday 10 June 2018

Biometric Finger Print Identification using DWT Byreal Minutiaeextraction

IJTSRD June 10, 2018 0

Bioinformatics

Biometric Finger Print Identification using DWT Byreal Minutiaeextraction

In this work an attempt is made to enhance bio metric fingerprint for identification & recognition using Discrete Wavelet Transform (DWT). In conventional bio metric systems Fast Fourier Transform has been used, use of the wavelets provides higher degree of resolution enhancement. In this work first the bio metric image is taken as input from stored database, then it undergone through histogram equalization, which makes the pixel value distribution of an image to increase the perceptional image information. After that resolution enhancement is done by Discrete Wavelet Transform.

Then the image is binarized, followed by segmentation is used to locate the objects & boundaries like the lines & curves present in an images. Then, the partitioning of the fingerprint image is done into distinguished blocks specific size. After that ROI extraction is performed. In Minutia extraction there are two steps involved, named Ridge thinning & minutia marking. Then the post processing stage consists of False minutia removal, unify termination & bifurcation and minutiae matching. Finally, the enhanced fingerprints are matched for performance evolution of the proposed technique

By Mradula Jain | Anshul Khurana" Bio metric Finger Print Identification using DWT By real Minutiae extraction"

Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-2 | Issue-4 , June 2018,

Paper URL: http://www.ijtsrd.com/papers/ijtsrd14407.pdf

Direct URL: http://www.ijtsrd.com/computer-science/bioinformatics/14407/biometric-finger-print-identification-using-dwt-byreal-minutiaeextraction/mradula-jain

ugc list of journals, best international journal, manuscript publication

Wednesday 16 May 2018

The Discovery of Potential Acetyl Cholinesterase Inhibitors: A Combination of Virtual Screening and Molecular Docking Studies

IJTSRD May 16, 2018 0

Bioinformatics

The Discovery of Potential Acetyl Cholinesterase Inhibitors: A Combination of Virtual Screening and Molecular Docking Studies

In present scenario there are different terminologies which are used for categorizing the branches of computer aided drug designing like molecular modeling, theoretical chemistry, bioinformatics, computational chemistry, chemo informatics, computational biology, etc fundamental scientific developments in this field has shaped up even before computational sciences emerged as a prominent field in engineering. Alzheimer disease is the most widespread origin of mental turn off, or dementia. But dementia too has various additional causes. The description of this disease for the first time was given by German psychiatrist as well as neuro pathologist named Alois Alzheimer in year 1906 and so it was named after him.Rapid memory loss is familiar in public older than 60.

The depositions of amyloid are known to be as 'œplaques' and it causes the brain cells to shrivel up and form 'œtangles', which will lead to changes in the brain structure and causes the brain cells to die. Treating medical circumstances which may contribute to perplexity or physical decline eg: anemia or lung disease, cheering social interface to help put off feelings of seclusion and depression, for tumbling misunderstanding normal habitual must be optimistic. Acetylcholinesterase (AChE) plays an significant function in Alzheimer's disease (AD).

The extreme action of acetylcholinesterase causes a variety of neuronal troubles predominantly dementia as well as neuronal cell deaths.The tools and methodology which are used in this project are FASTA ,BLAST, Phyre2, Easy Modeller, AutoDock and ADMET. The main tools used are AutoDock for the docking of specific protein and ligands whereas ADMET is used for the toxicity check.The conclusion for this project is that ÃŸ amyloid and abnormal tau protein is responsible for this disease and acetyl cholinesterase is a key inhibitor which is used for the treatment of this disease. The drugs used in this project may compensate for the death of cholinergic neurons and offer symptomatic relief by inhibiting acetylcholine turnover as it directly interact with amyloid ÃŸ in a manner that increases the deposition of this peptide into insoluble plaques. After homology modeling we will get the final structure of our protein. The docking will be carried out with the best ligand. This drug will be helpful in the treatment of Alzheimer's disease.

By Anjali Tripathi | Harshita Nigam | Noopur Khare" The Discovery of Potential Acetyl Cholinesterase Inhibitors: A Combination of Virtual Screening and Molecular Docking Studies" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-2 | Issue-4 , June 2018,

URL: http://www.ijtsrd.com/papers/ijtsrd14389.pdf

Direct Link - http://www.ijtsrd.com/biological-science/bioinformatics/14389/the-discovery-of-potential-acetyl-cholinesterase-inhibitors-a-combination-of-virtual-screening-and-molecular-docking-studies/anjali-tripathi

Bioinformatics, Engineering Journal

Sunday 6 May 2018

Next Generation Sequencing in Big Data

IJTSRD May 06, 2018 0

Bioinformatics

A huge revolution has taken place in the area of Genomic science. Sequencing of millions of DNA strands in parallel and also getting a higher throughput reduces the need to implement fragment cloning methods, where extra copies of genes are produced. The methodology of sequencing a large number of DNA strands in parallel is known as Next Generation Sequencing technique.

An overview of how different sequencing methods work is described. Selection of two sequencing methods, Sanger Sequencing method and Next generation sequencing method and analysis of the parameters used in both these techniques. A Comparative study of these two methods is carried out accordingly. An overview of when to use Sanger sequencing and when to use Next generation sequencing is described. Increase in the amount of genomic data has given rise to challenges like sharing, integrating and analyzing the genetic data.

Therefore, application of one of the big data techniques known as Map Reduce model is used to sequence the genetic data. A flow chart of how genetic is processed using MapReduce model is also present. Next Generation Sequencing for analysis of huge amount of genetic data is very useful but it has few limitations such as scaling and efficiency. Fortunately recent researches have proven that these demerits of Next Generation Sequencing can be easily overcome by implementing big data methodologies.

by Chinmayee C | Amrita Nischal | C R Manjunath | Soumya K N "Next Generation Sequencing in Big Data"

Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-2 | Issue-4 , June 2018,

URL: http://www.ijtsrd.com/papers/ijtsrd12975.pdf

Direct Link - http://www.ijtsrd.com/computer-science/bioinformatics/12975/next-generation-sequencing-in-big-data/chinmayee-c

call for paper economics, list of ugc approved journals, science journal

Wednesday 11 April 2018

Computational Approach to Study Catalytic Properties of Dioxygenase Enzyme in Bioremediation

IJTSRD April 11, 2018 0

Bioinformatics

Computational Approach to Study Catalytic Properties of Dioxygenase Enzyme in Bioremediation

Bioremediation is a degradation or transformation of contaminants into nonhazardous or less-hazardous substances using microorganism. A large number of enzymes from bacteria, fungi, and plants have been reported to be involved in the biodegradation of toxic organic pollutants. In silico approach uses variety of computational tools to predict best binding sites for pollutant degradation which permits to explore the potential of microorganisms in cleaning up the particular compound from the environment.

Its broad substrate specificity offers a wide opportunity for screening pollutants in order to predict potential targets for degradation. We identified potent bacteria that can be used to accomplish bioremediation i.e. Pseudomonas putida. This study aimed to evaluate the catechol 1, 2- dioxygenase enzyme which comes in class of oxidoreductase and in sub- class of oxygenase binding affinity with the pollutant and to explore its target potential sites using docking software.

The chosen pollutants were Catechol, Endosulfan, Carbaryl, Xylene, Toluene and Acrylamide. In this Pseudomonas putida wild type enzyme showed good results by endosulfan pollutant with -6.68 KJ/mol binding energy while mutated enzyme have shown better result with endosulfan with binding energy of -6.73 KJ/mol.

by N. Ahakey | P. Chandurkar | Tanuja Murab "Computational Approach to Study Catalytic Properties of Dioxygenase Enzyme in Bioremediation"

Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-2 | Issue-3 , April 2018,

URL: http://www.ijtsrd.com/papers/ijtsrd11694.pdf

Direct Link - http://www.ijtsrd.com/biological-science/bioinformatics/11694/computational-approach-to-study-catalytic-properties-of-dioxygenase-enzyme-in-bioremediation/n-ahakey

paper publication for student, peer reviewed journals, life sciences journal

Tuesday 27 February 2018

Survey on Various Methods of Detecting Glaucoma

IJTSRD February 27, 2018 0

Bioinformatics

Survey on Various Methods of Detecting Glaucoma

Glaucoma is an irreversible chronic eye disease it leads to vision loss. It is an eye disease which occurs due to the increased/decreased fluid pressure inside the eye. The pressure inside the normal eye is usually below 21mm of Hg. But when the pressure inside the eye(s) increases more than 21mm of Hg, the optic nerve gets damaged.

This can permanently damage vision in the effected eye(s) and can lead to blindness if left untreated. The available scanning methods of glaucoma are Heidelberg Retinal Tomography (HRT), Scanning Laser Polarimetry (SLP) and Optical Coherence Tomography (OCT). The existing methods are expensive and require experienced clinicians to use them. So, there is a need to diagnose glaucoma accurately with low cost.

As the symptoms only occur when the disease is quite advanced so that glaucoma is called the silent thief of sight. Glaucoma cannot be cured, but its development can be slowed down by treatment. Therefore, detecting glaucoma in time is critical. Manual analysis of the eye is time consuming and the accuracy of the parameter measurements also varies with different clinicians.

To overcome these problems with manual analysis, the objective of this survey is to introduce a method to automatically analyze the fundus images of the eye. Automatic analysis of this disease is much more effective than manual analysis.

by Swathi Anil | Prof. Elizabeth Issac "Survey on Various Methods of Detecting Glaucoma"

Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-2 | Issue-2 , February 2018,

URL: http://www.ijtsrd.com/papers/ijtsrd10704.pdf

Direct Link - http://www.ijtsrd.com/computer-science/bioinformatics/10704/survey-on-various-methods-of-detecting-glaucoma/swathi-anil

call for paper mathematics, ugc approved journals for chemistry, arts journal

Sunday 21 January 2018

Analysis on Glaucoma Detection

IJTSRD January 21, 2018 0

Bioinformatics

Glaucoma is a disease which leads to a permanent blindness to a person. Many techniques are available in medical industry to detect glaucoma. Some traditional techniques are HRT and COT. But both of them are cost effective and time consuming. These inefficiencies leads to the emergence of automatic computer aided system which can detect glaucoma in less time. Optic disc and optic cup smashes an important role in glaucoma detection. This paper gives an study of various techniques that are used in glaucoma detection using automated systems

By Sherin. J | Devi Kala Rathinam. D | Santhiya Grace. A" Analysis on Glaucoma Detection"

Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-2 | Issue-5 , August 2018,

Paper URL: http://www.ijtsrd.com/papers/ijtsrd15756.pdf

Direct URL: http://www.ijtsrd.com/computer-science/bioinformatics/15756/analysis-on-glaucoma-detection/sherin-j

UGC Approved Journal, Bioinformatics Journal

Wednesday 13 December 2017

Elementary approach towards Biological Data Mining by Faiz Hashmi

IJTSRD December 13, 2017 0

Bioinformatics

Elementary approach towards Biological Data Mining by Faiz Hashmi

In this paper we provide an overview on interactive and integrative knowledge discovery and data mining. The most important challenges, includes the need to develop and apply novel methods, algorithms and tools for the integration, fusion, pre-processing, mapping, analysis and interpretation of complex biomedical data with the aim to identify testable hypotheses, and build realistic models.

The HCI-KDD approach, which is a synergistic combination of methodologies and approaches of two areas, Human'“Computer Interaction (HCI) and Knowledge Discovery & Data Mining (KDD), offer ideal conditions towards solving these challenges: with the goal of supporting human intelligence with machine intelligence.

There is an urgent need for integrative and interactive machine learning solutions, because no medical doctor or biomedical researcher can keep pace today with the increasingly large and complex data sets '“ often called 'œBig Data'. The application of data mining in the domain of bioinformatics is explained. It also highlights some of the current challenges and opportunities of data mining in bioinformatics.

by Faiz Hashmi "Elementary approach towards Biological Data Mining"

Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-2 | Issue-1 , December 2017,

URL: http://www.ijtsrd.com/papers/ijtsrd7198.pdf

Direct Link - http://www.ijtsrd.com/computer-science/bioinformatics/7198/elementary-approach-towards-biological-data-mining/faiz-hashmi

Bioinformatics, Open Access Journal

Friday 8 April 2016

Smart Attendance System using Raspberry Pi

IJTSRD April 08, 2016 0

Bioinformatics

Smart Attendance System using Raspberry Pi

Biometric authentication is one of the most popular and accurate technology. Now a days, it is used in many real time applications. However, recognizing finger prints in Linux based embedded computers (raspberry pi) is still a very complex problem. This entire work is done on the Linux based embedded computer called raspberry pi, in which database creation, fingerprint reader access, authentication and recognition using python were entirely done on raspberry pi This paper discusses on the standardized authentication model which is capable of extracting the finger prints of individual and store that in database . Then the use of final finger print to match with others in finger prints present in the database to show the capability of this model and also updating the database obtained to the organisation by creating an application through cloud.

By Pradeep Kumar M S | Dr. K. Suresh | Indumati T | Kishor kumar R" Smart Attendance System using Raspberry Pi"

Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-1 | Issue-5 , August 2017,

Paper URL: http://www.ijtsrd.com/papers/ijtsrd2306.pdf

Direct URL: http://www.ijtsrd.com/computer-science/bioinformatics/2306/smart-attendance-system-using-raspberry-pi/pradeep-kumar-m-s

UGC Approved Journal Bioinformatics Journal

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