Rank
|
Page title
|
Views
|
Daily average
|
Assessment
|
Importance
|
1
|
CRISPR
|
45,978
|
1,483
|
B
|
Top
|
2
|
Receiver operating characteristic
|
36,950
|
1,191
|
B
|
Mid
|
3
|
AlphaFold
|
27,327
|
881
|
C
|
High
|
4
|
Last universal common ancestor
|
25,803
|
832
|
GA
|
Mid
|
5
|
Clade
|
24,948
|
804
|
C
|
Mid
|
6
|
Bioinformatics
|
24,581
|
792
|
C
|
Top
|
7
|
Dynamic programming
|
23,926
|
771
|
B
|
Top
|
8
|
Hidden Markov model
|
23,381
|
754
|
GA
|
Top
|
9
|
Systems theory
|
23,293
|
751
|
C
|
Mid
|
10
|
DNA sequencing
|
20,957
|
676
|
C
|
High
|
11
|
23andMe
|
20,554
|
663
|
C
|
Low
|
12
|
Phylogenetic tree
|
19,556
|
630
|
B
|
Top
|
13
|
Cellular automaton
|
17,809
|
574
|
B
|
Low
|
14
|
National Center for Biotechnology Information
|
17,614
|
568
|
C
|
Low
|
15
|
Michaelis–Menten kinetics
|
17,262
|
556
|
B
|
Top
|
16
|
Genome
|
17,006
|
548
|
C
|
High
|
17
|
Ontology (information science)
|
15,405
|
496
|
C
|
High
|
18
|
PubMed Central
|
15,152
|
488
|
B
|
Mid
|
19
|
Phylogenetics
|
14,566
|
469
|
C
|
Top
|
20
|
Sanger sequencing
|
13,643
|
440
|
C
|
Mid
|
21
|
Baum–Welch algorithm
|
11,383
|
367
|
C
|
Mid
|
22
|
FASTA format
|
11,294
|
364
|
B
|
High
|
23
|
Most recent common ancestor
|
10,797
|
348
|
B
|
High
|
24
|
Compartmental models in epidemiology
|
10,416
|
336
|
C
|
Mid
|
25
|
Synthetic biology
|
10,012
|
322
|
B
|
Mid
|
26
|
BLAST (biotechnology)
|
9,922
|
320
|
C
|
Top
|
27
|
Cladistics
|
9,482
|
305
|
C
|
Mid
|
28
|
Whole genome sequencing
|
9,374
|
302
|
B
|
High
|
29
|
Genomics
|
9,261
|
298
|
B
|
High
|
30
|
Heat map
|
9,051
|
291
|
Start
|
High
|
31
|
Biostatistics
|
8,958
|
288
|
B
|
Top
|
32
|
Mathematical and theoretical biology
|
8,949
|
288
|
C
|
Top
|
33
|
Computational biology
|
8,903
|
287
|
C
|
Top
|
34
|
RNA-Seq
|
8,678
|
279
|
B
|
Top
|
35
|
List of algorithms
|
8,676
|
279
|
List
|
Mid
|
36
|
Sequence alignment
|
8,379
|
270
|
C
|
High
|
37
|
DNA microarray
|
7,631
|
246
|
B
|
Top
|
38
|
FASTQ format
|
7,579
|
244
|
B
|
Mid
|
39
|
Phi coefficient
|
7,570
|
244
|
Start
|
Mid
|
40
|
Petri net
|
7,381
|
238
|
B
|
Low
|
41
|
Protein structure prediction
|
7,244
|
233
|
B
|
High
|
42
|
Docking (molecular)
|
7,189
|
231
|
B
|
High
|
43
|
Illumina, Inc.
|
7,131
|
230
|
C
|
Low
|
44
|
Proteomics
|
6,963
|
224
|
C
|
High
|
45
|
Lineweaver–Burk plot
|
6,856
|
221
|
B
|
Low
|
46
|
Multiple sequence alignment
|
6,774
|
218
|
Unknown
|
High
|
47
|
Isomorphic Labs
|
6,756
|
217
|
Stub
|
Low
|
48
|
Omics
|
6,573
|
212
|
C
|
Mid
|
49
|
Medical Subject Headings
|
6,549
|
211
|
C
|
Mid
|
50
|
Protein Data Bank
|
6,484
|
209
|
C
|
High
|
51
|
Europe PubMed Central
|
6,170
|
199
|
Start
|
Low
|
52
|
Needleman–Wunsch algorithm
|
6,148
|
198
|
Start
|
Mid
|
53
|
Genome-wide association study
|
6,122
|
197
|
GA
|
High
|
54
|
Single-cell sequencing
|
6,056
|
195
|
C
|
High
|
55
|
Metagenomics
|
5,941
|
191
|
GA
|
Mid
|
56
|
Gene nomenclature
|
5,720
|
184
|
Start
|
Mid
|
57
|
Non-coding DNA
|
5,716
|
184
|
C
|
Low
|
58
|
Systems biology
|
5,625
|
181
|
C
|
Top
|
59
|
Computational neuroscience
|
5,511
|
177
|
C
|
Top
|
60
|
Folding@home
|
5,208
|
168
|
B
|
Mid
|
61
|
PubChem
|
5,202
|
167
|
Start
|
Mid
|
62
|
Variant Call Format
|
5,195
|
167
|
Start
|
Mid
|
63
|
DNA barcoding
|
5,152
|
166
|
B
|
High
|
64
|
Smith–Waterman algorithm
|
5,143
|
165
|
B
|
Top
|
65
|
Burrows–Wheeler transform
|
4,819
|
155
|
C
|
Mid
|
66
|
Molecular clock
|
4,696
|
151
|
C
|
High
|
67
|
Junk DNA
|
4,668
|
150
|
B
|
Low
|
68
|
Spurious relationship
|
4,649
|
149
|
Start
|
Low
|
69
|
George Church (geneticist)
|
4,617
|
148
|
C
|
Mid
|
70
|
Gene set enrichment analysis
|
4,569
|
147
|
C
|
Mid
|
71
|
Exome sequencing
|
4,563
|
147
|
C
|
High
|
72
|
STR analysis
|
4,554
|
146
|
Start
|
Low
|
73
|
Similarity measure
|
4,540
|
146
|
Start
|
Mid
|
74
|
Protein–protein interaction
|
4,534
|
146
|
C
|
High
|
75
|
High-throughput screening
|
4,498
|
145
|
B
|
Low
|
76
|
Metabolomics
|
4,487
|
144
|
C
|
Mid
|
77
|
Phred quality score
|
4,477
|
144
|
Start
|
Mid
|
78
|
BLOSUM
|
4,297
|
138
|
C
|
High
|
79
|
Crossover (genetic algorithm)
|
4,280
|
138
|
B
|
Low
|
80
|
Robert Gentleman (statistician)
|
4,266
|
137
|
Start
|
Mid
|
81
|
Brain mapping
|
4,037
|
130
|
Start
|
Low
|
82
|
Denis Noble
|
4,030
|
130
|
Start
|
Low
|
83
|
Nanopore sequencing
|
4,025
|
129
|
C
|
Low
|
84
|
ATAC-seq
|
3,937
|
127
|
Start
|
Low
|
85
|
What Is Life?
|
3,932
|
126
|
C
|
Low
|
86
|
KNIME
|
3,927
|
126
|
Start
|
Low
|
87
|
Biological computing
|
3,913
|
126
|
C
|
Mid
|
88
|
Gene Ontology
|
3,894
|
125
|
C
|
High
|
89
|
Environmental DNA
|
3,822
|
123
|
B
|
Low
|
90
|
Data wrangling
|
3,806
|
122
|
Start
|
Low
|
91
|
Multiomics
|
3,727
|
120
|
C
|
High
|
92
|
Intrinsically disordered proteins
|
3,721
|
120
|
Start
|
Mid
|
93
|
Bioconductor
|
3,713
|
119
|
C
|
Mid
|
94
|
Combined DNA Index System
|
3,652
|
117
|
GA
|
Low
|
95
|
Genetic programming
|
3,640
|
117
|
B
|
Mid
|
96
|
Transcriptome
|
3,628
|
117
|
B
|
High
|
97
|
Root mean square deviation of atomic positions
|
3,548
|
114
|
Start
|
Mid
|
98
|
Monod equation
|
3,535
|
114
|
Start
|
Low
|
99
|
K-mer
|
3,475
|
112
|
B
|
Mid
|
100
|
GenBank
|
3,464
|
111
|
Start
|
High
|
101
|
Volcano plot (statistics)
|
3,379
|
109
|
C
|
Mid
|
102
|
Microarray
|
3,376
|
108
|
Start
|
Top
|
103
|
Illumina dye sequencing
|
3,373
|
108
|
C
|
Mid
|
104
|
Transcriptomics technologies
|
3,312
|
106
|
GA
|
High
|
105
|
Clustal
|
3,275
|
105
|
Start
|
Mid
|
106
|
BED (file format)
|
3,274
|
105
|
C
|
Low
|
107
|
ChIP sequencing
|
3,266
|
105
|
C
|
Mid
|
108
|
Jmol
|
3,217
|
103
|
Start
|
Mid
|
109
|
Pan-genome
|
3,210
|
103
|
C
|
Mid
|
110
|
Genome size
|
3,199
|
103
|
B
|
Mid
|
111
|
CASP
|
3,190
|
102
|
C
|
Mid
|
112
|
KEGG
|
3,179
|
102
|
C
|
High
|
113
|
Broad Institute
|
3,163
|
102
|
Start
|
Low
|
114
|
Spatial transcriptomics
|
3,141
|
101
|
Start
|
Low
|
115
|
SAM (file format)
|
3,119
|
100
|
Start
|
Mid
|
116
|
Conserved sequence
|
3,094
|
99
|
C
|
High
|
117
|
Reference genome
|
3,088
|
99
|
Start
|
Low
|
118
|
Molecular phylogenetics
|
3,004
|
96
|
C
|
High
|
119
|
List of sequence alignment software
|
2,992
|
96
|
List
|
High
|
120
|
Neighbor joining
|
2,933
|
94
|
C
|
High
|
121
|
List of biological databases
|
2,931
|
94
|
List
|
High
|
122
|
UniProt
|
2,908
|
93
|
Start
|
High
|
123
|
Gene regulatory network
|
2,878
|
92
|
B
|
High
|
124
|
Daphne Koller
|
2,874
|
92
|
C
|
Low
|
125
|
UPGMA
|
2,827
|
91
|
C
|
Low
|
126
|
Ludwig von Bertalanffy
|
2,815
|
90
|
Start
|
Low
|
127
|
Global Biodiversity Information Facility
|
2,794
|
90
|
Start
|
Low
|
128
|
10x Genomics
|
2,755
|
88
|
Start
|
Mid
|
129
|
N50, L50, and related statistics
|
2,734
|
88
|
Start
|
Low
|
130
|
Protein Data Bank (file format)
|
2,727
|
87
|
Start
|
Mid
|
131
|
Polygenic score
|
2,712
|
87
|
C
|
Mid
|
132
|
Distance matrix
|
2,684
|
86
|
Start
|
High
|
133
|
Maximum parsimony (phylogenetics)
|
2,660
|
85
|
C
|
High
|
134
|
DNA annotation
|
2,647
|
85
|
Start
|
Low
|
135
|
Kabsch algorithm
|
2,621
|
84
|
Start
|
Mid
|
136
|
Wikispecies
|
2,576
|
83
|
Start
|
Mid
|
137
|
Catalogue of Life
|
2,541
|
81
|
C
|
Low
|
138
|
List of protein structure prediction software
|
2,476
|
79
|
List
|
Mid
|
139
|
Sepp Hochreiter
|
2,473
|
79
|
Start
|
Low
|
140
|
PyMOL
|
2,439
|
78
|
Start
|
Low
|
141
|
David Baker (biochemist)
|
2,397
|
77
|
Start
|
Low
|
142
|
Mutation (genetic algorithm)
|
2,385
|
76
|
Start
|
Low
|
143
|
Schrödinger, Inc.
|
2,385
|
76
|
Start
|
Low
|
144
|
Genetic distance
|
2,382
|
76
|
B
|
Mid
|
145
|
Andrew Huxley
|
2,366
|
76
|
C
|
Low
|
146
|
Homology modeling
|
2,355
|
75
|
B
|
High
|
147
|
European Molecular Biology Laboratory
|
2,349
|
75
|
C
|
Low
|
148
|
Mathematical modelling of infectious diseases
|
2,344
|
75
|
C
|
Low
|
149
|
John Maynard Smith
|
2,337
|
75
|
C
|
Mid
|
150
|
FitzHugh–Nagumo model
|
2,322
|
74
|
C
|
Low
|
151
|
Computational phylogenetics
|
2,320
|
74
|
C
|
High
|
152
|
Oxford Nanopore Technologies
|
2,271
|
73
|
Start
|
Low
|
153
|
Metabarcoding
|
2,190
|
70
|
B
|
Low
|
154
|
Proteome
|
2,175
|
70
|
C
|
High
|
155
|
Comparative genomics
|
2,149
|
69
|
C
|
Top
|
156
|
Topologically associating domain
|
2,148
|
69
|
C
|
Low
|
157
|
Functional genomics
|
2,121
|
68
|
C
|
High
|
158
|
Fitness function
|
2,110
|
68
|
Start
|
Mid
|
159
|
Consensus sequence
|
2,088
|
67
|
Start
|
High
|
160
|
Online Mendelian Inheritance in Man
|
2,073
|
66
|
Start
|
Mid
|
161
|
Gene expression profiling
|
2,038
|
65
|
B
|
High
|
162
|
Michael Levitt
|
2,014
|
64
|
C
|
Low
|
163
|
Phylogeny
|
2,007
|
64
|
Redirect
|
NA
|
164
|
STRING
|
1,975
|
63
|
B
|
Low
|
165
|
Biochemical cascade
|
1,948
|
62
|
C
|
Mid
|
166
|
Single-cell transcriptomics
|
1,939
|
62
|
C
|
Mid
|
167
|
Models of DNA evolution
|
1,921
|
61
|
B
|
Mid
|
168
|
List of open-source bioinformatics software
|
1,916
|
61
|
List
|
High
|
169
|
Synteny
|
1,907
|
61
|
Start
|
Low
|
170
|
UK Biobank
|
1,870
|
60
|
B
|
Low
|
171
|
Position weight matrix
|
1,868
|
60
|
C
|
Top
|
172
|
Sequence motif
|
1,862
|
60
|
Start
|
High
|
173
|
DNA sequencer
|
1,858
|
59
|
Start
|
Low
|
174
|
Sequence analysis
|
1,843
|
59
|
C
|
Top
|
175
|
DNA database
|
1,821
|
58
|
Start
|
Mid
|
176
|
Celera Corporation
|
1,813
|
58
|
Start
|
Low
|
177
|
Biological database
|
1,790
|
57
|
Start
|
High
|
178
|
List of RNA-Seq bioinformatics tools
|
1,790
|
57
|
List
|
Mid
|
179
|
UCSC Genome Browser
|
1,772
|
57
|
Start
|
High
|
180
|
Approximate Bayesian computation
|
1,767
|
57
|
B
|
Low
|
181
|
Virtual screening
|
1,766
|
56
|
Start
|
High
|
182
|
Haar-like feature
|
1,760
|
56
|
C
|
Low
|
183
|
Aviv Regev
|
1,743
|
56
|
Start
|
Low
|
184
|
Binary Alignment Map
|
1,735
|
55
|
Stub
|
Mid
|
185
|
FASTA
|
1,732
|
55
|
B
|
High
|
186
|
Superspreading event
|
1,723
|
55
|
C
|
High
|
187
|
Data curation
|
1,715
|
55
|
Start
|
Mid
|
188
|
Biochip
|
1,711
|
55
|
C
|
Low
|
189
|
Substitution model
|
1,711
|
55
|
B
|
Mid
|
190
|
Point accepted mutation
|
1,704
|
54
|
B
|
High
|
191
|
Protein family
|
1,675
|
54
|
Start
|
High
|
192
|
Cyberneticist
|
1,673
|
53
|
Stub
|
Low
|
193
|
General feature format
|
1,668
|
53
|
Start
|
Low
|
194
|
Gene family
|
1,667
|
53
|
C
|
High
|
195
|
Amino acid replacement
|
1,666
|
53
|
Start
|
High
|
196
|
Gene prediction
|
1,661
|
53
|
C
|
High
|
197
|
List of mass spectrometry software
|
1,655
|
53
|
List
|
Low
|
198
|
DbSNP
|
1,647
|
53
|
B
|
Mid
|
199
|
Pfam
|
1,642
|
52
|
B
|
High
|
200
|
Indel
|
1,639
|
52
|
Start
|
Low
|
201
|
Martin Kulldorff
|
1,617
|
52
|
B
|
Low
|
202
|
Weighted correlation network analysis
|
1,613
|
52
|
B
|
Low
|
203
|
Pardis Sabeti
|
1,605
|
51
|
B
|
Low
|
204
|
Ensembl genome database project
|
1,594
|
51
|
B
|
High
|
205
|
SNP array
|
1,590
|
51
|
Start
|
High
|
206
|
Encyclopedia of Life
|
1,587
|
51
|
Start
|
Mid
|
207
|
Contig
|
1,550
|
50
|
C
|
High
|
208
|
Sequence assembly
|
1,531
|
49
|
Start
|
High
|
209
|
Chromosome conformation capture
|
1,523
|
49
|
C
|
Low
|
210
|
AMBER
|
1,515
|
48
|
C
|
Mid
|
211
|
1000 Genomes Project
|
1,506
|
48
|
B
|
Low
|
212
|
ChEMBL
|
1,506
|
48
|
Start
|
Mid
|
213
|
Microarray analysis techniques
|
1,502
|
48
|
B
|
Mid
|
214
|
Foundational Model of Anatomy
|
1,491
|
48
|
Start
|
Low
|
215
|
ENCODE
|
1,485
|
47
|
C
|
Mid
|
216
|
AutoDock
|
1,478
|
47
|
Start
|
Mid
|
217
|
Metabolome
|
1,464
|
47
|
C
|
High
|
218
|
Outgroup (cladistics)
|
1,456
|
46
|
Start
|
Mid
|
219
|
Chromosome (genetic algorithm)
|
1,435
|
46
|
Start
|
Low
|
220
|
Population structure (genetics)
|
1,429
|
46
|
Start
|
Low
|
221
|
European Bioinformatics Institute
|
1,418
|
45
|
C
|
Low
|
222
|
Wellcome Sanger Institute
|
1,404
|
45
|
C
|
Low
|
223
|
EBird
|
1,403
|
45
|
Start
|
Low
|
224
|
GROMACS
|
1,401
|
45
|
Start
|
Low
|
225
|
Solvation shell
|
1,399
|
45
|
Start
|
Low
|
226
|
FishBase
|
1,397
|
45
|
Start
|
Low
|
227
|
Gap penalty
|
1,396
|
45
|
C
|
High
|
228
|
Biobank
|
1,396
|
45
|
Start
|
High
|
229
|
Amplicon sequence variant
|
1,382
|
44
|
Start
|
Low
|
230
|
List of phylogenetics software
|
1,379
|
44
|
List
|
High
|
231
|
Probabilistic context-free grammar
|
1,358
|
43
|
B
|
High
|
232
|
RefSeq
|
1,350
|
43
|
Start
|
Mid
|
233
|
C. H. Waddington
|
1,343
|
43
|
C
|
Low
|
234
|
Sequence logo
|
1,310
|
42
|
B
|
Mid
|
235
|
RNA integrity number
|
1,309
|
42
|
Stub
|
Low
|
236
|
Structural bioinformatics
|
1,299
|
41
|
B
|
High
|
237
|
Structural Classification of Proteins database
|
1,298
|
41
|
Start
|
High
|
238
|
List of protein-ligand docking software
|
1,297
|
41
|
List
|
Mid
|
239
|
Entrez
|
1,292
|
41
|
Start
|
Mid
|
240
|
ChEBI
|
1,287
|
41
|
Start
|
Low
|
241
|
Alan Hodgkin
|
1,277
|
41
|
Start
|
Low
|
242
|
Theoretical ecology
|
1,237
|
39
|
B
|
High
|
243
|
Tournament selection
|
1,222
|
39
|
Start
|
Low
|
244
|
MA plot
|
1,217
|
39
|
Start
|
Low
|
245
|
Leroy Hood
|
1,212
|
39
|
B
|
Low
|
246
|
Ukkonen's algorithm
|
1,204
|
38
|
Stub
|
Low
|
247
|
Matthews correlation coefficient
|
1,203
|
38
|
Redirect
|
NA
|
248
|
Vito Volterra
|
1,184
|
38
|
C
|
Low
|
249
|
Cable theory
|
1,181
|
38
|
C
|
Mid
|
250
|
Biological network
|
1,176
|
37
|
C
|
High
|
251
|
Substitution matrix
|
1,173
|
37
|
C
|
High
|
252
|
Ion semiconductor sequencing
|
1,165
|
37
|
C
|
Low
|
253
|
Ecosystem model
|
1,163
|
37
|
Start
|
Mid
|
254
|
Rosetta@home
|
1,161
|
37
|
C
|
Mid
|
255
|
GeneCards
|
1,160
|
37
|
C
|
Mid
|
256
|
NanoString Technologies
|
1,149
|
37
|
Start
|
Low
|
257
|
Molecular Evolutionary Genetics Analysis
|
1,147
|
37
|
Start
|
Low
|
258
|
Cooperative binding
|
1,146
|
36
|
B
|
Mid
|
259
|
Biological systems engineering
|
1,143
|
36
|
Start
|
Low
|
260
|
MicroRNA sequencing
|
1,141
|
36
|
C
|
Low
|
261
|
Open Tree of Life
|
1,138
|
36
|
Start
|
Low
|
262
|
Knowledge engineering
|
1,131
|
36
|
Start
|
Low
|
263
|
DNA Data Bank of Japan
|
1,126
|
36
|
Stub
|
Low
|
264
|
Umbrella sampling
|
1,110
|
35
|
Start
|
Low
|
265
|
HMMER
|
1,101
|
35
|
B
|
High
|
266
|
Bayesian inference in phylogeny
|
1,100
|
35
|
C
|
High
|
267
|
Boolean network
|
1,100
|
35
|
C
|
Mid
|
268
|
Machine learning in bioinformatics
|
1,100
|
35
|
C
|
High
|
269
|
Interactome
|
1,086
|
35
|
C
|
Mid
|
270
|
List of RNA structure prediction software
|
1,077
|
34
|
List
|
Low
|
271
|
Protein structure database
|
1,070
|
34
|
Start
|
Low
|
272
|
List of bioinformatics journals
|
1,061
|
34
|
List
|
Low
|
273
|
List of phylogenetic tree visualization software
|
1,054
|
34
|
List
|
Mid
|
274
|
MGI (company)
|
1,044
|
33
|
C
|
Low
|
275
|
Protein design
|
1,043
|
33
|
C
|
Mid
|
276
|
CUT&RUN sequencing
|
1,023
|
33
|
C
|
Low
|
277
|
Manolis Kellis
|
1,022
|
32
|
C
|
Low
|
278
|
Computational genomics
|
1,021
|
32
|
Start
|
Mid
|
279
|
Scoring functions for docking
|
1,019
|
32
|
Start
|
Mid
|
280
|
Eadie–Hofstee diagram
|
1,013
|
32
|
Start
|
Low
|
281
|
DeCODE genetics
|
1,013
|
32
|
Start
|
Low
|
282
|
UCSF Chimera
|
1,007
|
32
|
Start
|
Low
|
283
|
Rob Knight (biologist)
|
1,007
|
32
|
Stub
|
Low
|
284
|
D'Arcy Wentworth Thompson
|
1,006
|
32
|
GA
|
Mid
|
285
|
Hirschberg's algorithm
|
992
|
32
|
B
|
Low
|
286
|
Protein superfamily
|
988
|
31
|
B
|
High
|
287
|
Paradox of the plankton
|
985
|
31
|
Start
|
Low
|
288
|
Dot plot (bioinformatics)
|
965
|
31
|
Start
|
Mid
|
289
|
Template modeling score
|
957
|
30
|
Start
|
Low
|
290
|
Michael Eisen
|
942
|
30
|
Start
|
Low
|
291
|
DSSP (algorithm)
|
942
|
30
|
Start
|
Low
|
292
|
List of genetic algorithm applications
|
942
|
30
|
List
|
Low
|
293
|
Cytoscape
|
936
|
30
|
B
|
High
|
294
|
Cross-species transmission
|
930
|
30
|
C
|
Low
|
295
|
CHARMM
|
926
|
29
|
B
|
Mid
|
296
|
Protein contact map
|
900
|
29
|
Start
|
Mid
|
297
|
Galaxy (computational biology)
|
897
|
28
|
Start
|
High
|
298
|
Genetic operator
|
888
|
28
|
Start
|
Low
|
299
|
Avogadro (software)
|
888
|
28
|
Stub
|
Low
|
300
|
Conservative replacement
|
885
|
28
|
Start
|
Low
|
301
|
Edward C. Holmes
|
885
|
28
|
Start
|
Low
|
302
|
CATH database
|
884
|
28
|
Start
|
Mid
|
303
|
All of Us (initiative)
|
884
|
28
|
C
|
Low
|
304
|
Attack rate
|
881
|
28
|
Start
|
Mid
|
305
|
Bonnie Berger
|
864
|
27
|
Start
|
Low
|
306
|
Genomic organization
|
855
|
27
|
Start
|
Low
|
307
|
SAMtools
|
852
|
27
|
Start
|
Low
|
308
|
Read (biology)
|
849
|
27
|
C
|
High
|
309
|
Biopython
|
844
|
27
|
C
|
High
|
310
|
Visual Molecular Dynamics
|
842
|
27
|
Start
|
Low
|
311
|
Motoo Kimura
|
839
|
27
|
C
|
High
|
312
|
Structural genomics
|
837
|
27
|
Start
|
High
|
313
|
NK model
|
837
|
27
|
B
|
Low
|
314
|
Modelling biological systems
|
832
|
26
|
C
|
High
|
315
|
List of neuroscience databases
|
829
|
26
|
List
|
Low
|
316
|
Haldane's dilemma
|
824
|
26
|
B
|
Low
|
317
|
Co-occurrence network
|
824
|
26
|
Start
|
Low
|
318
|
Expasy
|
818
|
26
|
Start
|
Mid
|
319
|
Metabolic network modelling
|
813
|
26
|
C
|
Mid
|
320
|
MUSCLE (alignment software)
|
813
|
26
|
Start
|
Mid
|
321
|
Flux balance analysis
|
810
|
26
|
B
|
High
|
322
|
Accession number (bioinformatics)
|
809
|
26
|
Start
|
Low
|
323
|
Batch effect
|
808
|
26
|
Stub
|
Low
|
324
|
Mass spectrometry data format
|
807
|
26
|
Start
|
Low
|
325
|
ABI Solid Sequencing
|
805
|
25
|
Start
|
Low
|
326
|
Swiss-model
|
798
|
25
|
Start
|
Mid
|
327
|
Lipidomics
|
796
|
25
|
C
|
Low
|
328
|
454 Life Sciences
|
796
|
25
|
C
|
Low
|
329
|
Sequence database
|
787
|
25
|
Start
|
Mid
|
330
|
Trajectory inference
|
787
|
25
|
C
|
Low
|
331
|
Monod–Wyman–Changeux model
|
783
|
25
|
Start
|
Mid
|
332
|
Hanes–Woolf plot
|
781
|
25
|
Start
|
Low
|
333
|
Synthetic biological circuit
|
780
|
25
|
Start
|
Low
|
334
|
Eric Xing
|
778
|
25
|
Stub
|
Low
|
335
|
PROSITE
|
777
|
25
|
Start
|
High
|
336
|
Network motif
|
777
|
25
|
B
|
Low
|
337
|
List of sequenced animal genomes
|
736
|
23
|
List
|
Mid
|
338
|
De novo sequence assemblers
|
735
|
23
|
Start
|
Low
|
339
|
Margaret Oakley Dayhoff
|
734
|
23
|
B
|
High
|
340
|
MAFFT
|
716
|
23
|
Stub
|
Mid
|
341
|
Pharmaceutical bioinformatics
|
708
|
22
|
Start
|
Mid
|
342
|
Biological network inference
|
695
|
22
|
C
|
Low
|
343
|
Institute of Genomics and Integrative Biology
|
695
|
22
|
C
|
Low
|
344
|
Nexus file
|
692
|
22
|
Start
|
Low
|
345
|
Eran Segal
|
691
|
22
|
Start
|
Low
|
346
|
Systems neuroscience
|
689
|
22
|
Stub
|
Mid
|
347
|
Taxonomic database
|
679
|
21
|
Start
|
Mid
|
348
|
McDonald–Kreitman test
|
678
|
21
|
C
|
Mid
|
349
|
Computational epigenetics
|
677
|
21
|
Start
|
Mid
|
350
|
PHYLIP
|
675
|
21
|
Start
|
Low
|
351
|
Long branch attraction
|
672
|
21
|
Start
|
Low
|
352
|
InterPro
|
672
|
21
|
B
|
High
|
353
|
Barcode of Life Data System
|
670
|
21
|
Stub
|
Low
|
354
|
HUGO Gene Nomenclature Committee
|
668
|
21
|
Start
|
Mid
|
355
|
List of molecular graphics systems
|
667
|
21
|
List
|
Mid
|
356
|
Uri Alon
|
665
|
21
|
Start
|
Low
|
357
|
Lior Pachter
|
662
|
21
|
Start
|
Mid
|
358
|
Binning (metagenomics)
|
655
|
21
|
Start
|
Low
|
359
|
Tree of Life Web Project
|
653
|
21
|
Start
|
Low
|
360
|
Threading (protein sequence)
|
651
|
21
|
Start
|
High
|
361
|
Paradox of enrichment
|
651
|
21
|
Start
|
Low
|
362
|
Chou–Fasman method
|
651
|
21
|
B
|
Mid
|
363
|
Genome browser
|
646
|
20
|
List
|
High
|
364
|
Biclustering
|
645
|
20
|
B
|
Mid
|
365
|
World Community Grid
|
641
|
20
|
C
|
Low
|
366
|
Chemical database
|
640
|
20
|
Start
|
Mid
|
367
|
PLINK (genetic tool-set)
|
639
|
20
|
Stub
|
Low
|
368
|
Polytomy
|
638
|
20
|
Start
|
Low
|
369
|
Robert Rosen (biologist)
|
636
|
20
|
Start
|
Low
|
370
|
De novo protein structure prediction
|
635
|
20
|
Start
|
High
|
371
|
EMBOSS
|
624
|
20
|
Start
|
Mid
|
372
|
Eugene Koonin
|
623
|
20
|
Start
|
Low
|
373
|
List of omics topics in biology
|
620
|
20
|
List
|
Low
|
374
|
Protein function prediction
|
620
|
20
|
Start
|
High
|
375
|
Global distance test
|
619
|
19
|
Stub
|
Low
|
376
|
Bioinformatics (journal)
|
610
|
19
|
Start
|
High
|
377
|
CRAM (file format)
|
609
|
19
|
Start
|
Low
|
378
|
PLOS Computational Biology
|
608
|
19
|
Start
|
High
|
379
|
HomoloGene
|
605
|
19
|
Start
|
Low
|
380
|
Phylogenetic comparative methods
|
605
|
19
|
C
|
Mid
|
381
|
List of alignment visualization software
|
602
|
19
|
List
|
Mid
|
382
|
Pyotr Anokhin
|
598
|
19
|
Start
|
Low
|
383
|
Fungal DNA barcoding
|
593
|
19
|
C
|
Low
|
384
|
Stephen Altschul
|
584
|
18
|
Start
|
Low
|
385
|
Brendan Frey
|
582
|
18
|
B
|
Low
|
386
|
Sequence Read Archive
|
574
|
18
|
Start
|
High
|
387
|
Barry Smith (ontologist)
|
572
|
18
|
C
|
Low
|
388
|
Synthetic virology
|
572
|
18
|
Start
|
Mid
|
389
|
Evolutionary grade
|
571
|
18
|
Start
|
High
|
390
|
List of gene prediction software
|
570
|
18
|
List
|
Mid
|
391
|
GENSCAN
|
569
|
18
|
Stub
|
Mid
|
392
|
Protein tandem repeats
|
567
|
18
|
Start
|
Mid
|
393
|
Mikhail Gelfand
|
564
|
18
|
Stub
|
Mid
|
394
|
Pileup format
|
560
|
18
|
Start
|
Low
|
395
|
Circular permutation in proteins
|
558
|
18
|
GA
|
Low
|
396
|
DAVID
|
556
|
17
|
Start
|
Mid
|
397
|
RasMol
|
554
|
17
|
Start
|
Mid
|
398
|
Demographic and Health Surveys
|
553
|
17
|
B
|
Low
|
399
|
Mathematical physiology
|
552
|
17
|
Stub
|
Mid
|
400
|
WPGMA
|
552
|
17
|
C
|
Low
|
401
|
List of human protein-coding genes 1
|
552
|
17
|
List
|
High
|
402
|
PSIPRED
|
550
|
17
|
Start
|
High
|
403
|
Sarah Teichmann
|
550
|
17
|
C
|
Low
|
404
|
ChIP-on-chip
|
548
|
17
|
C
|
Low
|
405
|
Ewan Birney
|
546
|
17
|
Start
|
Low
|
406
|
SPAdes (software)
|
545
|
17
|
C
|
Low
|
407
|
Centre for DNA Fingerprinting and Diagnostics
|
540
|
17
|
Start
|
Low
|
408
|
ARKive
|
535
|
17
|
C
|
Mid
|
409
|
List of sequenced eukaryotic genomes
|
528
|
17
|
List
|
Mid
|
410
|
De novo transcriptome assembly
|
527
|
17
|
C
|
Mid
|
411
|
UniFrac
|
524
|
16
|
Stub
|
Low
|
412
|
Dry lab
|
520
|
16
|
Start
|
High
|
413
|
Genomics England
|
519
|
16
|
Start
|
Low
|
414
|
Weasel program
|
516
|
16
|
B
|
Low
|
415
|
List of biodiversity databases
|
515
|
16
|
List
|
Low
|
416
|
Autophagy database
|
510
|
16
|
Start
|
Low
|
417
|
Animal Diversity Web
|
505
|
16
|
C
|
Mid
|
418
|
Chemical library
|
504
|
16
|
Start
|
Low
|
419
|
Robinson–Foulds metric
|
502
|
16
|
C
|
Low
|
420
|
Computational immunology
|
491
|
15
|
B
|
Mid
|
421
|
BRENDA
|
488
|
15
|
Start
|
Mid
|
422
|
FreeSurfer
|
488
|
15
|
Start
|
Mid
|
423
|
James D. Murray
|
487
|
15
|
Start
|
Low
|
424
|
Elasticity coefficient
|
482
|
15
|
C
|
Mid
|
425
|
Synthetic life
|
480
|
15
|
Redirect
|
NA
|
426
|
GeneDx
|
480
|
15
|
Stub
|
Low
|
427
|
Protein–protein interaction prediction
|
469
|
15
|
Start
|
High
|
428
|
Mascot (software)
|
466
|
15
|
C
|
High
|
429
|
Tom Blundell
|
461
|
14
|
C
|
Low
|
430
|
SBML
|
457
|
14
|
B
|
High
|
431
|
David Goodsell
|
457
|
14
|
C
|
Low
|
432
|
Flow cytometry bioinformatics
|
454
|
14
|
B
|
Low
|
433
|
Metabolic flux analysis
|
453
|
14
|
Stub
|
Low
|
434
|
List of MeSH codes
|
452
|
14
|
List
|
Mid
|
435
|
Allen Brain Atlas
|
451
|
14
|
C
|
Mid
|
436
|
Bernd Sturmfels
|
447
|
14
|
Stub
|
Low
|
437
|
UniGene
|
447
|
14
|
Start
|
Low
|
438
|
Dryad (repository)
|
447
|
14
|
Start
|
Low
|
439
|
Haplotype estimation
|
446
|
14
|
Start
|
Low
|
440
|
David Botstein
|
445
|
14
|
Start
|
Low
|
441
|
Hindmarsh–Rose model
|
444
|
14
|
Stub
|
Low
|
442
|
Morris–Lecar model
|
443
|
14
|
Start
|
Low
|
443
|
CUT&Tag sequencing
|
443
|
14
|
Start
|
Low
|
444
|
BMC Bioinformatics
|
433
|
13
|
C
|
Low
|
445
|
Human Protein Atlas
|
433
|
13
|
Start
|
Low
|
446
|
Macromolecular docking
|
431
|
13
|
B
|
Mid
|
447
|
Ancestral reconstruction
|
426
|
13
|
B
|
Low
|
448
|
Dehaene–Changeux model
|
426
|
13
|
Start
|
Low
|
449
|
100,000 Genomes Project
|
426
|
13
|
C
|
Low
|
450
|
Codon Adaptation Index
|
425
|
13
|
Stub
|
Low
|
451
|
European Nucleotide Archive
|
425
|
13
|
GA
|
Mid
|
452
|
Steven Salzberg
|
423
|
13
|
Start
|
Low
|
453
|
International Nucleotide Sequence Database Collaboration
|
414
|
13
|
Stub
|
Mid
|
454
|
Next-generation matrix
|
414
|
13
|
Start
|
Low
|
455
|
Evolutionary tree
|
413
|
13
|
Redirect
|
NA
|
456
|
Phylogenetic Assignment of Named Global Outbreak Lineages
|
413
|
13
|
Start
|
Low
|
457
|
T-Coffee
|
412
|
13
|
Start
|
Mid
|
458
|
Analysis of molecular variance
|
412
|
13
|
Stub
|
Low
|
459
|
Carl Bergstrom
|
409
|
13
|
Stub
|
Low
|
460
|
Fossilworks
|
408
|
13
|
Stub
|
Low
|
461
|
Inferring horizontal gene transfer
|
408
|
13
|
B
|
Low
|
462
|
Hypercycle (chemistry)
|
406
|
13
|
B
|
Low
|
463
|
Jay Shendure
|
405
|
13
|
Start
|
Low
|
464
|
Energy charge
|
404
|
13
|
Start
|
Low
|
465
|
Diseases Database
|
403
|
13
|
Start
|
Mid
|
466
|
Biological data visualization
|
402
|
12
|
Start
|
Mid
|
467
|
Glycomics
|
401
|
12
|
Start
|
Low
|
468
|
Atul Butte
|
400
|
12
|
Start
|
Mid
|
469
|
BLAT (bioinformatics)
|
395
|
12
|
B
|
Low
|
470
|
Digital phenotyping
|
394
|
12
|
Start
|
Low
|
471
|
Ehud Shapiro
|
389
|
12
|
Start
|
Low
|
472
|
Biomedical text mining
|
388
|
12
|
Start
|
High
|
473
|
Microbial DNA barcoding
|
388
|
12
|
Start
|
Low
|
474
|
Nicolas Rashevsky
|
387
|
12
|
B
|
Mid
|
475
|
Epitranscriptome
|
386
|
12
|
B
|
Low
|
476
|
Phyre
|
384
|
12
|
B
|
Low
|
477
|
Reactome
|
378
|
12
|
Start
|
Low
|
478
|
MODELLER
|
378
|
12
|
Start
|
Mid
|
479
|
David J. Lipman
|
375
|
12
|
Start
|
Low
|
480
|
FlowJo
|
374
|
12
|
Start
|
Low
|
481
|
National Institute of Biomedical Genomics
|
374
|
12
|
Stub
|
Mid
|
482
|
Nussinov algorithm
|
374
|
12
|
Start
|
Low
|
483
|
Epigenome-wide association study
|
371
|
11
|
C
|
Low
|
484
|
Molecular models of DNA
|
369
|
11
|
B
|
Mid
|
485
|
Briefings in Bioinformatics
|
369
|
11
|
Start
|
Low
|
486
|
Richard M. Durbin
|
368
|
11
|
C
|
Low
|
487
|
Short linear motif
|
367
|
11
|
B
|
Mid
|
488
|
GENESIS (software)
|
366
|
11
|
Start
|
Low
|
489
|
Unique molecular identifier
|
366
|
11
|
Stub
|
Low
|
490
|
Alston Scott Householder
|
364
|
11
|
Start
|
Low
|
491
|
Population viability analysis
|
363
|
11
|
C
|
Mid
|
492
|
Consensus CDS Project
|
363
|
11
|
C
|
Low
|
493
|
Mouse Genome Informatics
|
362
|
11
|
Stub
|
Low
|
494
|
Joseph DeRisi
|
360
|
11
|
Start
|
Low
|
495
|
High-frequency oscillations
|
360
|
11
|
C
|
Low
|
496
|
UGENE
|
356
|
11
|
C
|
Low
|
497
|
Algae DNA barcoding
|
356
|
11
|
Start
|
Low
|
498
|
Protein pKa calculations
|
355
|
11
|
Start
|
Low
|
499
|
Crystallography Open Database
|
355
|
11
|
Stub
|
Low
|
500
|
FlyBase
|
354
|
11
|
Start
|
Mid
|