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INTRODUCTIONFASTA is a program for rapid alignment of pairs of protein and DNA sequences. Rather than comparing individual residues in the two sequences, FASTA searches for matching sequence patterns or words, called k-tuples. These patterns comprise k consecutive matches of letters in both sequences. The program then attempts to build a local alignment based on these word matches. Due to the ability of the algorithm to find matching sequences in a sequence database with high speed, FASTA is useful for routine database searches of this type. Comparable methods are the BLAST program, which is faster than FASTA, is of comparable sensitivity for protein queries, and also does DNA searches, and programs that use the Smith-Waterman dynamic programming algorithm for protein and DNA searches, which are slower but more sensitive when full-length protein sequences are used as queries.
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http://dx.doi.org/10.1101/pdb.top16 | DOI Listing |
Ann Surg Oncol
September 2025
Department of Surgery,Division of Breast Surgical Oncology, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
Background: This study analyzed a large national cohort to compare treatment strategies and survival outcomes in metaplastic breast cancer (MtBC), a rare and aggressive subtype with poor treatment response.
Patients And Methods: Adult female patients with MtBC diagnosed between 2006 and 2021 were identified from the National Cancer Database and grouped by chemotherapy sequence (neoadjuvant vs. adjuvant) to evaluate clinical characteristics and survival outcomes.
Funct Integr Genomics
September 2025
The First Clinical Medical College, Yunnan University of Chinese Medicine, Kunming, China.
Ischemic stroke (IS) has high morbidity/mortality with limited treatments. This study screened core copper homeostasis-related genes in IS and validated their function as precise intervention targets. Human IS gene chip data were retrieved from GEO, and copper homeostasis genes from multiple databases.
View Article and Find Full Text PDFJ Healthc Sci Humanit
January 2024
Assistant Professor & Clinical Coordinator, Health Informatics Program, School of Health Professions, State University of New York Downstate Health Sciences University, 450 Clarkson Avenue, MSC 94, Brooklyn, NY 11203, (718) 270-7738, Fax: (718) 270-7739 Email:
COVID-19 variants continue to infect thousands of people even though the end of the pandemic was announced on May 11, 2023. Nextstrain CoVariants (CoVariants) genomic databases provide detailed information about more than 31 variants of COVID-19 viruses that have been identified through genomic sequencing, showing the mutations they carry. Mutated viruses may yield a negative result for a gene target using a PCR test that has a positive COVID-19 test result.
View Article and Find Full Text PDFFront Oncol
August 2025
Department of Hematology and Oncology, Wake Forest University School of Medicine, Winston-Salem, NC, United States.
Introduction: Metastatic colorectal cancer (mCRC) exhibits significant heterogeneity in molecular profiles, influencing treatment response and patient outcomes. Mutations in v-raf murine sarcoma viral oncogene homolog B1 () and rat sarcoma () family genes are commonly observed in mCRC. Though originally thought to be mutually exclusive, recent data have shown that patients may present with concomitant and mutations, posing unique challenges and implications for clinical management.
View Article and Find Full Text PDFFront Genet
August 2025
Department of Gastrointestinal and Hernia Surgery, Ganzhou Hospital-Nanfang Hospital, Southern Medical University, Ganzhou, China.
Background: Gastric cancer (GC) is a leading cause of cancer-related mortality; however, biomarkers predicting its immunotherapy resistance remain scarce. Vascular cell adhesion molecule ()-, an immune cell adhesion mediator, is implicated in tumor progression; however, its prognostic and immunomodulatory roles in GC remain unclear.
Methods: In this study, we analyzed expression and its clinical relevance in GC using RNA-sequencing data from The Cancer Genome Atlas.