ScholarGate
Асистент

Порівняння методів

Переглядайте обрані методи поруч; рядки з відмінностями підсвічено.

Протеомічний аналіз×Вирівнювання послідовностей×
ГалузьБіоінформатикаБіоінформатика
РодинаProcess / pipelineProcess / pipeline
Рік появи1994–2003 (term coined 1994; shotgun proteomics established early 2000s)1970 (global alignment); 1981 (local alignment)
Автор методуMarc Wilkins, Matthias Mann, Ruedi Aebersold (proteome/mass spectrometry foundations)Saul B. Needleman & Christian D. Wunsch (global); Temple F. Smith & Michael S. Waterman (local)
ТипQuantitative omics pipelineComputational sequence analysis technique
Основоположне джерелоWilkins, M. R., Sanchez, J.-C., Gooley, A. A., Appel, R. D., Humphery-Smith, I., Hochstrasser, D. F., & Williams, K. L. (1996). Progress with proteome projects: Why all proteins expressed by a genome should be identified and how to do it. Biotechnology and Genetic Engineering Reviews, 13(1), 19–50. link ↗Needleman, S. B., & Wunsch, C. D. (1970). A general method applicable to the search for similarities in the amino acid sequence of two proteins. Journal of Molecular Biology, 48(3), 443–453. DOI ↗
Інші назвиproteomics, mass spectrometry-based proteomics, shotgun proteomics, quantitative proteomicspairwise alignment, multiple sequence alignment, MSA, sequence comparison
Пов'язані66
ПідсумокProteomics analysis is a systematic pipeline for identifying and quantifying proteins in biological samples using mass spectrometry. Starting from raw spectral data, the workflow searches protein sequence databases, estimates abundance across conditions, applies statistical tests for differential expression, and maps findings onto biological pathways. It complements transcriptomics by capturing post-translational regulation and actual protein abundance, and is central to biomarker discovery, drug-target identification, and systems biology.Sequence alignment is a foundational bioinformatics technique that arranges two or more DNA, RNA, or protein sequences to reveal regions of similarity, infer evolutionary relationships, identify functional domains, and map sequencing reads to reference genomes. It underpins virtually every downstream genomic analysis, from variant calling and gene expression quantification to phylogenetics and structural annotation.
ScholarGateНабір даних
  1. v1
  2. 2 Джерела
  3. PUBLISHED
  1. v1
  2. 2 Джерела
  3. PUBLISHED

Перейти до пошуку Завантажити слайди

ScholarGateПорівняння методів: Proteomics Analysis · Sequence Alignment. Отримано 2026-06-15 з https://scholargate.app/uk/compare