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Fractal and DNA sequence analysis

Fractal and DNA sequence analysis is a research topic within Molecular Biology. Science Explorer counts 9.5k research works in it since 1950. 10.3% of them reached the world's top 10% most cited for their field and year.

This cluster of papers focuses on the application of signal processing techniques to analyze genomic data, including DNA sequences and protein sequences. It explores methods such as graphical representation, numerical characterization, chaos game representation, wavelet analysis, periodicity analysis, and fractal analysis. The cluster also delves into the use of machine learning for genomic signal processing.

  • Genomic Signal Processing
  • DNA Sequences
  • Protein Sequences
  • Graphical Representation
  • Numerical Characterization
  • Chaos Game Representation
  • Wavelet Analysis
  • Periodicity Analysis
  • Fractal Analysis
  • Machine Learning
Research works
9.5k
fractional, since 1950
In the world top 10%
973
per year above
Top-10% rate
10.3%
share of its works in the world top 10%
Growth, 2018-21 → 2022-25
+0%
the tick is no change
Largest producer
China
28% of the 10 largest, 2022-now

Which countries lead Fractal and DNA sequence analysis research?

By volume, China and the United States publish the most (279 and 220 works in 2022-now).

By volume, 2022-now

  1. 1 China 279 works
  2. 2 United States 220 works
  3. 3 India 174 works
  4. 4 Türkiye 72 works
  5. 5 Russia 57 works
  6. 6 United Kingdom 43 works
  7. 7 Germany 42 works
  8. 8 France 39 works
  9. 9 Italy 37 works
  10. 10 Japan 33 works

How concentrated that is

The same countries as shares of everything the list above accounts for. A node where two countries do two thirds of the work and one spread evenly across twelve read alike as a ranking and not at all alike here.

China: 28.0%United States: 22.1%India: 17.5%Türkiye: 7.2%6 others listed: 25.1%28%largest
China279 · 28.0%United States220 · 22.1%India174 · 17.5%Türkiye72 · 7.2%6 others listed250 · 25.1%

Shares of the rows listed above, not of the whole node.

Which institutions lead Fractal and DNA sequence analysis research?

By volume in 2022-now, Russian Academy of Sciences publishes the most Fractal and DNA sequence analysis research, followed by Centre National de la Recherche Scientifique and University of Electronic Science and Technology of China.

Who are the leading researchers in Fractal and DNA sequence analysis?

The most-cited researchers publishing on Fractal and DNA sequence analysis include Eric S. Lander, Yoshua Bengio and Richard M. Durbin.

  1. 1 Eric S. Lander United States 524k citations
  2. 2 Yoshua Bengio Canada 476k citations
  3. 3 Richard M. Durbin United Kingdom 410k citations
  4. 4 Peer Bork Germany 396k citations
  5. 5 Steven L. Salzberg United States 372k citations
  6. 6 Jun Wang China 340k citations
  7. 7 Karl John Friston United Kingdom 310k citations
  8. 8 Dan J. Stein South Africa 306k citations
  9. 9 Sudhir Kumar United States 295k citations
  10. 10 Mark Gerstein United States 250k citations

Ranked by citations received across their whole record, among researchers with at least three works on this topic.

What are the most cited papers in Fractal and DNA sequence analysis?

The most cited paper in Fractal and DNA sequence analysis is "A general method applicable to the search for similarities in the amino acid sequence of two proteins" (Saul B. Needleman, Christian D. Wunsch, 1970), with 11,585 citations. Next come "Clustering by Passing Messages Between Data Points" (6,941) and "Mosaic organization of DNA nucleotides" (5,081).

Most cited papers
#PaperReleasedCitations
1 A general method applicable to the search for similarities in the amino acid sequence of two proteins Saul B. Needleman, Christian D. Wunsch · Journal of Molecular Biology Mar 1970 11,585
2 Clustering by Passing Messages Between Data Points Brendan J. Frey, Delbert Dueck · Science 12 Jan 2007 6,941
3 Mosaic organization of DNA nucleotides Chung‐Kang Peng, Sergey V. Buldyrev, Shlomo Havlin et al. · Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics Open access Feb 1994 5,081
4 FIMO: scanning for occurrences of a given motif Charles E. Grant, Timothy L. Bailey, William Stafford Noble · Bioinformatics Open access 16 Feb 2011 5,063
5 Automated eukaryotic gene structure annotation using EVidenceModeler and the Program to Assemble Spliced Alignments Brian J. Haas, Steven L. Salzberg, Wei Zhu et al. · Genome biology Open access 11 Jan 2008 4,564
All 99 most cited papers, with filters and sorting

Where is Fractal and DNA sequence analysis research done?

The largest centres of Fractal and DNA sequence analysis research in 2022-now are Beijing (China), Moscow (Russia), Xi'an (China) and Nanjing (China).

Largest cities, 2022-now

  1. 1 BeijingChina 44 works
  2. 2 MoscowRussia 27 works
  3. 3 Xi'anChina 22 works
  4. 4 NanjingChina 15 works
  5. 5 KolkataIndia 13 works
  6. 6 ChengduChina 13 works
  7. 7 ShanghaiChina 13 works
  8. 8 ParisFrance 13 works
  9. 9 ChennaiIndia 13 works
  10. 10 GuangzhouChina 12 works
See Fractal and DNA sequence analysis on the map

Is Fractal and DNA sequence analysis research growing?

Output in 2022-2025 was 0% higher than in 2018-2021, peaking in 2021. The fastest-growing topics are Fractal and DNA sequence analysis.

still counting19801990200020102020
grewheldshrank

The same series as a ribbon: one cell per year, darker for more. The line above answers how much; this answers when.

Its share of all research

Growing output can still be a shrinking share: all of science grows. This is Fractal and DNA sequence analysis as a percentage of every work published that year, 0.0061% in 2024.

still counting0.010%0.020%Fractal and DNA sequence analysis0.0058% in 202519801990200020102020

Fractional works of Fractal and DNA sequence analysis over all fractional works that year. How the balance of science has shifted.

How much of it reaches the world top 10%

Year by year.

still counting5%10%15%Fractal and DNA sequence analysis10.9% in 2025200020102020

Of each year's works in it, the share that reached the world's 10% most cited for their field and year. A field is the world for its own topics, so there is no other line to hold it against.

Which topics inside it are moving

Growth and decline on one axis around a shared zero. Two lists side by side hide the thing that matters: whether the growth dwarfs the decline, or the other way round.

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