Genomic sequence data are often available well before the annotated sequence is published. We present a method for analysis of genomic DNA to identify coding sequences using the GeneScan algorithm and characterize these resultant sequences by BLAST. The routines are used to develop a system for automated annotation of genome DNA sequences.

Download full-text PDF

Source
http://dx.doi.org/10.1007/BF02811413DOI Listing

Publication Analysis

Top Keywords

automated annotation
8
genomic dna
8
dna sequences
8
sequences genescan
8
annotation tool
4
tool genomic
4
sequences
4
genescan blast
4
blast genomic
4
genomic sequence
4

Similar Publications

Clinical entity-aware domain adaptation in low resource setting for inflammatory bowel disease.

Front Artif Intell

January 2025

Language Intelligence and Information Retrieval (LIIR) Lab, Department of Computer Science, KU Leuven, Leuven, Belgium.

The digitization of healthcare records has revolutionized medical research and patient care, with electronic health records (EHRs) containing a wealth of structured and unstructured data. Extracting valuable information from unstructured clinical text presents a significant challenge, necessitating automated tools for efficient data mining. Natural language processing (NLP) methods have been pivotal in this endeavor, aiming to extract crucial clinical concepts embedded within free-form text.

View Article and Find Full Text PDF

The development of Chinese civilization has produced a vast collection of historical documents. Recognizing and analyzing these documents hold significant value for the research of ancient culture. Recently, researchers have tried to utilize deep-learning techniques to automate recognition and analysis.

View Article and Find Full Text PDF

A novel clinical investigation using deep learning and human-in-the-loop approach in orbital volume measurement.

J Craniomaxillofac Surg

January 2025

Department of Plastic and Reconstructive Surgery, School of Medicine, Kyungpook National University, Daegu, Republic of Korea. Electronic address:

Orbital volume assessment is crucial for surgical planning. Traditional methods lack efficiency and accuracy. Recent studies explore AI-driven techniques, but research on their clinical effectiveness is limited.

View Article and Find Full Text PDF

Rationale: Lung ultrasound, the most precise diagnostic tool for pleural effusions, is underutilized due to healthcare providers' limited proficiency. To address this, deep learning models can be trained to recognize pleural effusions. However, current models lack the ability to diagnose effusions in diverse clinical contexts, which presents significant challenges.

View Article and Find Full Text PDF

Sharing cooking recipes is a great way to exchange culinary ideas and provide instructions for food preparation. However, categorizing raw recipes found online into appropriate food genres can be challenging due to a lack of adequate labeled data. In this study, we present a dataset named the "Assorted, Archetypal, and Annotated Two Million Extended (3A2M+) Cooking Recipe Dataset" that contains two million culinary recipes labeled in respective categories with extended named entities extracted from recipe descriptions.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!