Rank
|
Page title
|
Views
|
Daily average
|
Assessment
|
Importance
|
1
|
Last universal common ancestor
|
32,688
|
1,054
|
GA
|
Mid
|
2
|
CRISPR
|
32,127
|
1,036
|
B
|
Top
|
3
|
Receiver operating characteristic
|
30,826
|
994
|
B
|
Mid
|
4
|
Clade
|
24,868
|
802
|
C
|
Mid
|
5
|
Dynamic programming
|
20,835
|
672
|
B
|
Top
|
6
|
Systems theory
|
19,890
|
641
|
C
|
Mid
|
7
|
Hidden Markov model
|
19,154
|
617
|
GA
|
Top
|
8
|
Bioinformatics
|
17,989
|
580
|
C
|
Top
|
9
|
23andMe
|
16,332
|
526
|
C
|
Low
|
10
|
DNA sequencing
|
14,116
|
455
|
C
|
High
|
11
|
Phylogenetic tree
|
14,051
|
453
|
B
|
Top
|
12
|
Cellular automaton
|
13,803
|
445
|
B
|
Low
|
13
|
Phylogenetics
|
13,097
|
422
|
C
|
Top
|
14
|
Ontology (information science)
|
12,926
|
416
|
C
|
High
|
15
|
AlphaFold
|
12,560
|
405
|
C
|
High
|
16
|
Genome
|
12,178
|
392
|
C
|
High
|
17
|
PubMed Central
|
12,057
|
388
|
B
|
Mid
|
18
|
National Center for Biotechnology Information
|
11,549
|
372
|
C
|
Low
|
19
|
Michaelis–Menten kinetics
|
11,078
|
357
|
B
|
Top
|
20
|
Most recent common ancestor
|
10,172
|
328
|
B
|
High
|
21
|
Sanger sequencing
|
9,608
|
309
|
C
|
Mid
|
22
|
FASTA format
|
8,467
|
273
|
B
|
High
|
23
|
Cladistics
|
7,631
|
246
|
C
|
Mid
|
24
|
Genomics
|
7,476
|
241
|
B
|
High
|
25
|
Compartmental models in epidemiology
|
7,448
|
240
|
C
|
Mid
|
26
|
Whole genome sequencing
|
7,438
|
239
|
B
|
High
|
27
|
List of algorithms
|
7,393
|
238
|
List
|
Mid
|
28
|
RNA-Seq
|
7,346
|
236
|
B
|
Top
|
29
|
Heat map
|
7,212
|
232
|
Start
|
High
|
30
|
Synthetic biology
|
7,157
|
230
|
B
|
Mid
|
31
|
FASTQ format
|
6,552
|
211
|
B
|
Mid
|
32
|
Phi coefficient
|
6,370
|
205
|
Start
|
Mid
|
33
|
Biostatistics
|
6,315
|
203
|
B
|
Top
|
34
|
Illumina, Inc.
|
6,262
|
202
|
C
|
Low
|
35
|
Computational biology
|
6,206
|
200
|
C
|
Top
|
36
|
Medical Subject Headings
|
5,930
|
191
|
C
|
Mid
|
37
|
BLAST (biotechnology)
|
5,871
|
189
|
C
|
Top
|
38
|
Proteomics
|
5,707
|
184
|
C
|
High
|
39
|
Global Biodiversity Information Facility
|
5,593
|
180
|
Start
|
Low
|
40
|
Omics
|
5,576
|
179
|
C
|
Mid
|
41
|
Petri net
|
5,505
|
177
|
B
|
Low
|
42
|
Mathematical and theoretical biology
|
5,424
|
174
|
C
|
Top
|
43
|
Single-cell sequencing
|
5,378
|
173
|
C
|
High
|
44
|
Denis Noble
|
5,216
|
168
|
Start
|
Low
|
45
|
DNA microarray
|
5,145
|
165
|
B
|
Top
|
46
|
Computational neuroscience
|
5,079
|
163
|
C
|
Top
|
47
|
Docking (molecular)
|
4,935
|
159
|
B
|
High
|
48
|
Sequence alignment
|
4,868
|
157
|
C
|
High
|
49
|
Gene nomenclature
|
4,832
|
155
|
Start
|
Mid
|
50
|
Protein Data Bank
|
4,795
|
154
|
C
|
High
|
51
|
Genome-wide association study
|
4,705
|
151
|
GA
|
High
|
52
|
Needleman–Wunsch algorithm
|
4,648
|
149
|
Start
|
Mid
|
53
|
George Church (geneticist)
|
4,636
|
149
|
C
|
Mid
|
54
|
Non-coding DNA
|
4,456
|
143
|
C
|
Low
|
55
|
PubChem
|
4,431
|
142
|
Start
|
Mid
|
56
|
Multiple sequence alignment
|
4,341
|
140
|
Unknown
|
High
|
57
|
Systems biology
|
4,317
|
139
|
C
|
Top
|
58
|
Folding@home
|
4,287
|
138
|
B
|
Mid
|
59
|
Variant Call Format
|
4,277
|
137
|
Start
|
Mid
|
60
|
Gene set enrichment analysis
|
4,272
|
137
|
C
|
Mid
|
61
|
Europe PubMed Central
|
4,200
|
135
|
Start
|
Low
|
62
|
Metagenomics
|
4,107
|
132
|
GA
|
Mid
|
63
|
Baum–Welch algorithm
|
4,056
|
130
|
C
|
Mid
|
64
|
Robert Gentleman (statistician)
|
4,018
|
129
|
Start
|
Mid
|
65
|
Biological computing
|
3,930
|
126
|
C
|
Mid
|
66
|
Phred quality score
|
3,890
|
125
|
Start
|
Mid
|
67
|
Exome sequencing
|
3,862
|
124
|
C
|
High
|
68
|
Lineweaver–Burk plot
|
3,796
|
122
|
B
|
Low
|
69
|
Spurious relationship
|
3,738
|
120
|
Start
|
Low
|
70
|
Multiomics
|
3,717
|
119
|
C
|
High
|
71
|
Smith–Waterman algorithm
|
3,709
|
119
|
B
|
Top
|
72
|
High-throughput screening
|
3,693
|
119
|
B
|
Low
|
73
|
Similarity measure
|
3,693
|
119
|
Start
|
Mid
|
74
|
What Is Life?
|
3,676
|
118
|
C
|
Low
|
75
|
Protein structure prediction
|
3,665
|
118
|
B
|
High
|
76
|
Metabolomics
|
3,634
|
117
|
C
|
Mid
|
77
|
Bioconductor
|
3,599
|
116
|
C
|
Mid
|
78
|
Junk DNA
|
3,581
|
115
|
B
|
Low
|
79
|
DNA barcoding
|
3,529
|
113
|
B
|
High
|
80
|
Molecular clock
|
3,386
|
109
|
C
|
High
|
81
|
KNIME
|
3,378
|
108
|
Start
|
Low
|
82
|
Protein–protein interaction
|
3,329
|
107
|
C
|
High
|
83
|
Combined DNA Index System
|
3,325
|
107
|
GA
|
Low
|
84
|
Nanopore sequencing
|
3,287
|
106
|
C
|
Low
|
85
|
Burrows–Wheeler transform
|
3,275
|
105
|
C
|
Mid
|
86
|
ATAC-seq
|
3,233
|
104
|
Start
|
Low
|
87
|
STR analysis
|
3,180
|
102
|
Start
|
Low
|
88
|
Daphne Koller
|
3,103
|
100
|
C
|
Low
|
89
|
Intrinsically disordered proteins
|
3,079
|
99
|
Start
|
Mid
|
90
|
KEGG
|
3,070
|
99
|
C
|
High
|
91
|
Jmol
|
3,033
|
97
|
Start
|
Mid
|
92
|
Isomorphic Labs
|
3,030
|
97
|
Stub
|
Low
|
93
|
Gene Ontology
|
3,024
|
97
|
C
|
High
|
94
|
BED (file format)
|
2,986
|
96
|
C
|
Low
|
95
|
Broad Institute
|
2,985
|
96
|
Start
|
Low
|
96
|
K-mer
|
2,971
|
95
|
B
|
Mid
|
97
|
Data wrangling
|
2,884
|
93
|
Start
|
Low
|
98
|
SAM (file format)
|
2,856
|
92
|
Start
|
Mid
|
99
|
Volcano plot (statistics)
|
2,774
|
89
|
C
|
Mid
|
100
|
Root mean square deviation of atomic positions
|
2,737
|
88
|
Start
|
Mid
|
101
|
Genetic programming
|
2,731
|
88
|
B
|
Mid
|
102
|
Reference genome
|
2,648
|
85
|
Start
|
Low
|
103
|
Illumina dye sequencing
|
2,644
|
85
|
C
|
Mid
|
104
|
Transcriptome
|
2,641
|
85
|
B
|
High
|
105
|
List of sequence alignment software
|
2,619
|
84
|
List
|
High
|
106
|
Spatial transcriptomics
|
2,609
|
84
|
Start
|
Low
|
107
|
10x Genomics
|
2,554
|
82
|
Start
|
Mid
|
108
|
Transcriptomics technologies
|
2,552
|
82
|
GA
|
High
|
109
|
ChIP sequencing
|
2,521
|
81
|
C
|
Mid
|
110
|
Ludwig von Bertalanffy
|
2,517
|
81
|
Start
|
Low
|
111
|
BLOSUM
|
2,491
|
80
|
C
|
High
|
112
|
Crossover (genetic algorithm)
|
2,488
|
80
|
B
|
Low
|
113
|
Molecular phylogenetics
|
2,409
|
77
|
C
|
High
|
114
|
Fitness function
|
2,397
|
77
|
Start
|
Mid
|
115
|
Kabsch algorithm
|
2,386
|
76
|
Start
|
Mid
|
116
|
Environmental DNA
|
2,376
|
76
|
B
|
Low
|
117
|
Conserved sequence
|
2,361
|
76
|
C
|
High
|
118
|
European Molecular Biology Laboratory
|
2,342
|
75
|
C
|
Low
|
119
|
Brain mapping
|
2,328
|
75
|
Start
|
Low
|
120
|
Microarray
|
2,322
|
74
|
Start
|
Top
|
121
|
Genome size
|
2,319
|
74
|
B
|
Mid
|
122
|
List of mass spectrometry software
|
2,291
|
73
|
List
|
Low
|
123
|
Pan-genome
|
2,269
|
73
|
C
|
Mid
|
124
|
Schrödinger, Inc.
|
2,247
|
72
|
Start
|
Low
|
125
|
Wikispecies
|
2,239
|
72
|
Start
|
Mid
|
126
|
Gene regulatory network
|
2,210
|
71
|
B
|
High
|
127
|
UniProt
|
2,170
|
70
|
Start
|
High
|
128
|
Superspreading event
|
2,170
|
70
|
C
|
High
|
129
|
Polygenic score
|
2,157
|
69
|
C
|
Mid
|
130
|
Andrew Huxley
|
2,138
|
68
|
C
|
Low
|
131
|
Gene expression profiling
|
2,120
|
68
|
B
|
High
|
132
|
John Maynard Smith
|
2,098
|
67
|
C
|
Mid
|
133
|
Cyberneticist
|
2,083
|
67
|
Stub
|
Low
|
134
|
GenBank
|
2,077
|
67
|
Start
|
High
|
135
|
Monod equation
|
2,064
|
66
|
Start
|
Low
|
136
|
Catalogue of Life
|
2,060
|
66
|
C
|
Low
|
137
|
List of sequenced animal genomes
|
2,058
|
66
|
List
|
Mid
|
138
|
Online Mendelian Inheritance in Man
|
2,046
|
66
|
Start
|
Mid
|
139
|
Distance matrix
|
1,989
|
64
|
Start
|
High
|
140
|
N50, L50, and related statistics
|
1,984
|
64
|
Start
|
Low
|
141
|
Genetic distance
|
1,962
|
63
|
B
|
Mid
|
142
|
Oxford Nanopore Technologies
|
1,938
|
62
|
Start
|
Low
|
143
|
PyMOL
|
1,902
|
61
|
Start
|
Low
|
144
|
Mathematical modelling of infectious diseases
|
1,897
|
61
|
C
|
Low
|
145
|
Protein Data Bank (file format)
|
1,897
|
61
|
Start
|
Mid
|
146
|
List of open-source bioinformatics software
|
1,879
|
60
|
List
|
High
|
147
|
Neighbor joining
|
1,876
|
60
|
C
|
High
|
148
|
List of biological databases
|
1,864
|
60
|
List
|
High
|
149
|
List of RNA-Seq bioinformatics tools
|
1,847
|
59
|
List
|
Mid
|
150
|
Clustal
|
1,819
|
58
|
Start
|
Mid
|
151
|
DNA annotation
|
1,813
|
58
|
Start
|
Low
|
152
|
Functional genomics
|
1,811
|
58
|
C
|
High
|
153
|
UK Biobank
|
1,782
|
57
|
B
|
Low
|
154
|
UPGMA
|
1,775
|
57
|
C
|
Low
|
155
|
Phylogeny
|
1,761
|
56
|
Redirect
|
NA
|
156
|
Protein family
|
1,760
|
56
|
Start
|
High
|
157
|
Weighted correlation network analysis
|
1,752
|
56
|
B
|
Low
|
158
|
Approximate Bayesian computation
|
1,748
|
56
|
B
|
Low
|
159
|
Data curation
|
1,725
|
55
|
Start
|
Mid
|
160
|
Metabarcoding
|
1,692
|
54
|
B
|
Low
|
161
|
Sequence analysis
|
1,683
|
54
|
C
|
Top
|
162
|
Maximum parsimony (phylogenetics)
|
1,648
|
53
|
C
|
High
|
163
|
List of protein structure prediction software
|
1,639
|
52
|
List
|
Mid
|
164
|
Proteome
|
1,616
|
52
|
C
|
High
|
165
|
CASP
|
1,614
|
52
|
C
|
Mid
|
166
|
David Baker (biochemist)
|
1,594
|
51
|
Start
|
Low
|
167
|
DNA sequencer
|
1,561
|
50
|
Start
|
Low
|
168
|
Computational phylogenetics
|
1,556
|
50
|
C
|
High
|
169
|
AMBER
|
1,553
|
50
|
C
|
Mid
|
170
|
General feature format
|
1,535
|
49
|
Start
|
Low
|
171
|
Celera Corporation
|
1,527
|
49
|
Start
|
Low
|
172
|
FitzHugh–Nagumo model
|
1,524
|
49
|
C
|
Low
|
173
|
Topologically associating domain
|
1,514
|
48
|
C
|
Low
|
174
|
Binary Alignment Map
|
1,500
|
48
|
Stub
|
Mid
|
175
|
Sequence motif
|
1,491
|
48
|
Start
|
High
|
176
|
DNA database
|
1,471
|
47
|
Start
|
Mid
|
177
|
Synteny
|
1,439
|
46
|
Start
|
Low
|
178
|
Consensus sequence
|
1,438
|
46
|
Start
|
High
|
179
|
Amino acid replacement
|
1,429
|
46
|
Start
|
High
|
180
|
1000 Genomes Project
|
1,423
|
45
|
B
|
Low
|
181
|
Homology modeling
|
1,403
|
45
|
B
|
High
|
182
|
ChEMBL
|
1,392
|
44
|
Start
|
Mid
|
183
|
Pardis Sabeti
|
1,389
|
44
|
B
|
Low
|
184
|
GROMACS
|
1,387
|
44
|
Start
|
Low
|
185
|
FishBase
|
1,340
|
43
|
Start
|
Low
|
186
|
Manolis Kellis
|
1,328
|
42
|
C
|
Low
|
187
|
Indel
|
1,325
|
42
|
Start
|
Low
|
188
|
Martin Kulldorff
|
1,324
|
42
|
B
|
Low
|
189
|
Chromosome conformation capture
|
1,318
|
42
|
C
|
Low
|
190
|
Aviv Regev
|
1,298
|
41
|
Start
|
Low
|
191
|
Haar-like feature
|
1,283
|
41
|
C
|
Low
|
192
|
MicroRNA sequencing
|
1,283
|
41
|
C
|
Low
|
193
|
Position weight matrix
|
1,276
|
41
|
C
|
Top
|
194
|
Pfam
|
1,275
|
41
|
B
|
High
|
195
|
RNA integrity number
|
1,269
|
40
|
Stub
|
Low
|
196
|
Lenia
|
1,266
|
40
|
Start
|
Unknown
|
197
|
Gene family
|
1,254
|
40
|
C
|
High
|
198
|
Chromosome (genetic algorithm)
|
1,245
|
40
|
Start
|
Low
|
199
|
De novo peptide sequencing
|
1,242
|
40
|
Start
|
Low
|
200
|
STRING
|
1,229
|
39
|
B
|
Low
|
201
|
European Bioinformatics Institute
|
1,225
|
39
|
C
|
Low
|
202
|
Contig
|
1,221
|
39
|
C
|
High
|
203
|
Foundational Model of Anatomy
|
1,209
|
39
|
Start
|
Low
|
204
|
Encyclopedia of Life
|
1,208
|
38
|
Start
|
Mid
|
205
|
Virtual screening
|
1,207
|
38
|
Start
|
High
|
206
|
ENCODE
|
1,202
|
38
|
C
|
Mid
|
207
|
Biobank
|
1,202
|
38
|
Start
|
High
|
208
|
Leroy Hood
|
1,193
|
38
|
B
|
Low
|
209
|
Sepp Hochreiter
|
1,192
|
38
|
Start
|
Low
|
210
|
ChEBI
|
1,185
|
38
|
Start
|
Low
|
211
|
FASTA
|
1,181
|
38
|
B
|
High
|
212
|
Biological network inference
|
1,180
|
38
|
C
|
Low
|
213
|
Comparative genomics
|
1,171
|
37
|
C
|
Top
|
214
|
Michael Levitt (biophysicist)
|
1,169
|
37
|
C
|
Low
|
215
|
RefSeq
|
1,169
|
37
|
Start
|
Mid
|
216
|
Biochip
|
1,168
|
37
|
C
|
Low
|
217
|
SNP array
|
1,165
|
37
|
Start
|
High
|
218
|
List of RNA structure prediction software
|
1,161
|
37
|
List
|
Low
|
219
|
Biochemical cascade
|
1,160
|
37
|
C
|
Mid
|
220
|
Solvation shell
|
1,148
|
37
|
Start
|
Low
|
221
|
Sequence assembly
|
1,146
|
36
|
Start
|
High
|
222
|
C. H. Waddington
|
1,143
|
36
|
C
|
Low
|
223
|
Microarray analysis techniques
|
1,141
|
36
|
B
|
Mid
|
224
|
Structural bioinformatics
|
1,137
|
36
|
B
|
High
|
225
|
UCSC Genome Browser
|
1,129
|
36
|
Start
|
High
|
226
|
List of genetic algorithm applications
|
1,124
|
36
|
List
|
Low
|
227
|
Mutation (genetic algorithm)
|
1,122
|
36
|
Start
|
Low
|
228
|
Single-cell transcriptomics
|
1,120
|
36
|
C
|
Mid
|
229
|
Metabolome
|
1,111
|
35
|
C
|
High
|
230
|
Ensembl genome database project
|
1,100
|
35
|
B
|
High
|
231
|
Sequence logo
|
1,097
|
35
|
B
|
Mid
|
232
|
Biological database
|
1,095
|
35
|
Start
|
High
|
233
|
Wellcome Sanger Institute
|
1,094
|
35
|
C
|
Low
|
234
|
Galaxy (computational biology)
|
1,086
|
35
|
Start
|
High
|
235
|
Amplicon sequence variant
|
1,073
|
34
|
Start
|
Low
|
236
|
Matthews correlation coefficient
|
1,068
|
34
|
Redirect
|
NA
|
237
|
Umbrella sampling
|
1,066
|
34
|
Start
|
Low
|
238
|
Open Tree of Life
|
1,065
|
34
|
Start
|
Low
|
239
|
Machine learning in bioinformatics
|
1,059
|
34
|
C
|
High
|
240
|
Outgroup (cladistics)
|
1,058
|
34
|
Start
|
Mid
|
241
|
Population structure (genetics)
|
1,051
|
33
|
Start
|
Low
|
242
|
Entrez
|
1,043
|
33
|
Start
|
Mid
|
243
|
Genomic organization
|
1,035
|
33
|
Start
|
Low
|
244
|
Alan Hodgkin
|
1,031
|
33
|
Start
|
Low
|
245
|
MA plot
|
1,031
|
33
|
Start
|
Low
|
246
|
Models of DNA evolution
|
1,020
|
32
|
B
|
Mid
|
247
|
Bayesian inference in phylogeny
|
1,017
|
32
|
C
|
High
|
248
|
AutoDock
|
1,006
|
32
|
Start
|
Mid
|
249
|
Protein design
|
998
|
32
|
C
|
Mid
|
250
|
Knowledge engineering
|
995
|
32
|
Start
|
Low
|
251
|
Point accepted mutation
|
981
|
31
|
B
|
High
|
252
|
DbSNP
|
970
|
31
|
B
|
Mid
|
253
|
Cooperative binding
|
950
|
30
|
B
|
Mid
|
254
|
NanoString Technologies
|
937
|
30
|
Start
|
Low
|
255
|
List of phylogenetics software
|
929
|
29
|
List
|
High
|
256
|
All of Us (initiative)
|
927
|
29
|
C
|
Low
|
257
|
List of protein-ligand docking software
|
923
|
29
|
List
|
Mid
|
258
|
GeneCards
|
920
|
29
|
C
|
Mid
|
259
|
Substitution model
|
913
|
29
|
B
|
Mid
|
260
|
HMMER
|
906
|
29
|
B
|
High
|
261
|
Boolean network
|
905
|
29
|
C
|
Mid
|
262
|
Synthetic biological circuit
|
898
|
28
|
Start
|
Low
|
263
|
List of bioinformatics journals
|
886
|
28
|
List
|
Low
|
264
|
Flux balance analysis
|
885
|
28
|
B
|
High
|
265
|
Protein superfamily
|
872
|
28
|
B
|
High
|
266
|
Cable theory
|
871
|
28
|
C
|
Mid
|
267
|
Biological systems engineering
|
868
|
28
|
Start
|
Low
|
268
|
D'Arcy Wentworth Thompson
|
867
|
27
|
GA
|
Mid
|
269
|
Scoring functions for docking
|
863
|
27
|
Start
|
Mid
|
270
|
Gene prediction
|
856
|
27
|
C
|
High
|
271
|
CUT&RUN sequencing
|
856
|
27
|
C
|
Low
|
272
|
Biological network
|
855
|
27
|
C
|
High
|
273
|
Probabilistic context-free grammar
|
851
|
27
|
B
|
High
|
274
|
Ion semiconductor sequencing
|
846
|
27
|
C
|
Low
|
275
|
DNA Data Bank of Japan
|
841
|
27
|
Stub
|
Low
|
276
|
Gap penalty
|
839
|
27
|
C
|
High
|
277
|
Ukkonen's algorithm
|
838
|
27
|
Stub
|
Low
|
278
|
Marginal value theorem
|
832
|
26
|
C
|
Unknown
|
279
|
CHARMM
|
827
|
26
|
B
|
Mid
|
280
|
Computational epigenetics
|
821
|
26
|
Start
|
Mid
|
281
|
SAMtools
|
813
|
26
|
Start
|
Low
|
282
|
MGI (company)
|
803
|
25
|
C
|
Low
|
283
|
Molecular Evolutionary Genetics Analysis
|
798
|
25
|
Start
|
Low
|
284
|
Protein contact map
|
794
|
25
|
Start
|
Mid
|
285
|
Rosetta@home
|
788
|
25
|
C
|
Mid
|
286
|
Structural Classification of Proteins database
|
786
|
25
|
Start
|
High
|
287
|
Conservative replacement
|
785
|
25
|
Start
|
Low
|
288
|
Trajectory inference
|
785
|
25
|
C
|
Low
|
289
|
Interactome
|
784
|
25
|
C
|
Mid
|
290
|
Cytoscape
|
783
|
25
|
B
|
High
|
291
|
PLOS Computational Biology
|
776
|
25
|
Start
|
High
|
292
|
EBird
|
776
|
25
|
Start
|
Low
|
293
|
Lior Pachter
|
776
|
25
|
Start
|
Mid
|
294
|
Computational genomics
|
775
|
25
|
Start
|
Mid
|
295
|
Mathematical physiology
|
774
|
24
|
Stub
|
Mid
|
296
|
Vito Volterra
|
772
|
24
|
C
|
Low
|
297
|
Template modeling score
|
772
|
24
|
Start
|
Low
|
298
|
Biopython
|
769
|
24
|
C
|
High
|
299
|
Co-occurrence network
|
759
|
24
|
Start
|
Low
|
300
|
Haldane's dilemma
|
758
|
24
|
B
|
Low
|
301
|
List of phylogenetic tree visualization software
|
756
|
24
|
List
|
Mid
|
302
|
Robert Rosen (biologist)
|
755
|
24
|
Start
|
Low
|
303
|
Fossilworks
|
745
|
24
|
Stub
|
Low
|
304
|
Bonnie Berger
|
743
|
23
|
Start
|
Low
|
305
|
UCSF Chimera
|
729
|
23
|
Start
|
Low
|
306
|
PROSITE
|
726
|
23
|
Start
|
High
|
307
|
Tournament selection
|
725
|
23
|
Start
|
Low
|
308
|
Systems neuroscience
|
725
|
23
|
Stub
|
Mid
|
309
|
Avogadro (software)
|
719
|
23
|
Stub
|
Low
|
310
|
Cross-species transmission
|
719
|
23
|
C
|
Low
|
311
|
Network motif
|
718
|
23
|
B
|
Low
|
312
|
Sequence database
|
717
|
23
|
Start
|
Mid
|
313
|
Modelling biological systems
|
714
|
23
|
C
|
High
|
314
|
Metabolic network modelling
|
701
|
22
|
C
|
Mid
|
315
|
Theoretical ecology
|
699
|
22
|
B
|
High
|
316
|
Hirschberg's algorithm
|
696
|
22
|
B
|
Low
|
317
|
InterPro
|
694
|
22
|
B
|
High
|
318
|
Dot plot (bioinformatics)
|
689
|
22
|
Start
|
Mid
|
319
|
DeCODE genetics
|
684
|
22
|
Start
|
Low
|
320
|
Swiss-model
|
681
|
21
|
Start
|
Mid
|
321
|
Paradox of the plankton
|
679
|
21
|
Start
|
Low
|
322
|
CATH database
|
674
|
21
|
Start
|
Mid
|
323
|
Mass spectrometry data format
|
674
|
21
|
Start
|
Low
|
324
|
454 Life Sciences
|
672
|
21
|
C
|
Low
|
325
|
HUGO Gene Nomenclature Committee
|
661
|
21
|
Start
|
Mid
|
326
|
Substitution matrix
|
659
|
21
|
C
|
High
|
327
|
DSSP (algorithm)
|
650
|
20
|
Start
|
Low
|
328
|
Visual Molecular Dynamics
|
646
|
20
|
Start
|
Low
|
329
|
Michael Eisen
|
646
|
20
|
Start
|
Low
|
330
|
List of neuroscience databases
|
639
|
20
|
List
|
Low
|
331
|
Ecosystem model
|
638
|
20
|
Start
|
Mid
|
332
|
Dry lab
|
634
|
20
|
Start
|
High
|
333
|
Bioinformatics (journal)
|
623
|
20
|
Start
|
High
|
334
|
Rob Knight (biologist)
|
623
|
20
|
Stub
|
Low
|
335
|
Eric Xing
|
619
|
19
|
Stub
|
Low
|
336
|
Autophagy database
|
607
|
19
|
Start
|
Low
|
337
|
Attack rate
|
604
|
19
|
Start
|
Mid
|
338
|
Batch effect
|
603
|
19
|
Stub
|
Low
|
339
|
Institute of Genomics and Integrative Biology
|
597
|
19
|
C
|
Low
|
340
|
Motoo Kimura
|
594
|
19
|
C
|
High
|
341
|
Stephen Altschul
|
587
|
18
|
Start
|
Low
|
342
|
Accession number (bioinformatics)
|
586
|
18
|
Start
|
Low
|
343
|
Monod–Wyman–Changeux model
|
584
|
18
|
Start
|
Mid
|
344
|
Margaret Oakley Dayhoff
|
578
|
18
|
B
|
High
|
345
|
Nexus file
|
576
|
18
|
Start
|
Low
|
346
|
Read (biology)
|
576
|
18
|
C
|
High
|
347
|
Genomics England
|
570
|
18
|
Start
|
Low
|
348
|
List of omics topics in biology
|
569
|
18
|
List
|
Low
|
349
|
ABI Solid Sequencing
|
568
|
18
|
Start
|
Low
|
350
|
DAVID
|
568
|
18
|
Start
|
Mid
|
351
|
NK model
|
567
|
18
|
B
|
Low
|
352
|
Barry Smith (ontologist)
|
562
|
18
|
C
|
Low
|
353
|
Inferring horizontal gene transfer
|
562
|
18
|
B
|
Low
|
354
|
Chemical database
|
559
|
18
|
Start
|
Mid
|
355
|
PANTHER
|
557
|
17
|
C
|
Low
|
356
|
Paradox of enrichment
|
555
|
17
|
Start
|
Low
|
357
|
De novo sequence assemblers
|
554
|
17
|
Start
|
Low
|
358
|
Eadie–Hofstee diagram
|
553
|
17
|
Start
|
Low
|
359
|
List of human protein-coding genes 1
|
547
|
17
|
List
|
High
|
360
|
Ewan Birney
|
545
|
17
|
Start
|
Low
|
361
|
Binning (metagenomics)
|
545
|
17
|
Start
|
Low
|
362
|
Polytomy
|
540
|
17
|
Start
|
Low
|
363
|
MEGAN
|
540
|
17
|
Start
|
High
|
364
|
Sarah Teichmann
|
537
|
17
|
C
|
Low
|
365
|
Lipidomics
|
535
|
17
|
C
|
Low
|
366
|
CRAM (file format)
|
535
|
17
|
Start
|
Low
|
367
|
Protein–protein interaction prediction
|
533
|
17
|
Start
|
High
|
368
|
Uri Alon
|
533
|
17
|
Start
|
Low
|
369
|
Tree of Life Web Project
|
532
|
17
|
Start
|
Low
|
370
|
Eugene Koonin
|
529
|
17
|
Start
|
Low
|
371
|
MAFFT
|
529
|
17
|
Stub
|
Mid
|
372
|
List of molecular graphics systems
|
526
|
16
|
List
|
Mid
|
373
|
Synthetic virology
|
517
|
16
|
Start
|
Mid
|
374
|
Evolutionary grade
|
516
|
16
|
Start
|
High
|
375
|
Erez Lieberman Aiden
|
506
|
16
|
GA
|
Low
|
376
|
Weasel program
|
505
|
16
|
B
|
Low
|
377
|
Circular permutation in proteins
|
503
|
16
|
GA
|
Low
|
378
|
HomoloGene
|
502
|
16
|
Start
|
Low
|
379
|
Phylogenetic comparative methods
|
502
|
16
|
C
|
Mid
|
380
|
Barcode of Life Data System
|
500
|
16
|
Stub
|
Low
|
381
|
PLINK (genetic tool-set)
|
492
|
15
|
Stub
|
Low
|
382
|
GeneDx
|
489
|
15
|
Stub
|
Low
|
383
|
Glycomics
|
483
|
15
|
Start
|
Low
|
384
|
Taxonomic database
|
483
|
15
|
Start
|
Mid
|
385
|
World Community Grid
|
482
|
15
|
C
|
Low
|
386
|
List of alignment visualization software
|
477
|
15
|
List
|
Mid
|
387
|
WPGMA
|
475
|
15
|
C
|
Low
|
388
|
Genome browser
|
472
|
15
|
List
|
High
|
389
|
Biclustering
|
470
|
15
|
B
|
Mid
|
390
|
Protein function prediction
|
470
|
15
|
Start
|
High
|
391
|
ARKive
|
468
|
15
|
C
|
Mid
|
392
|
Centre for DNA Fingerprinting and Diagnostics
|
462
|
14
|
Start
|
Low
|
393
|
CAZy
|
461
|
14
|
Start
|
Mid
|
394
|
Sequence Read Archive
|
455
|
14
|
Start
|
High
|
395
|
BRENDA
|
452
|
14
|
Start
|
Mid
|
396
|
De novo protein structure prediction
|
449
|
14
|
Start
|
High
|
397
|
UniFrac
|
447
|
14
|
Stub
|
Low
|
398
|
PHYLIP
|
446
|
14
|
Start
|
Low
|
399
|
Expasy
|
444
|
14
|
Start
|
Mid
|
400
|
List of MeSH codes
|
442
|
14
|
List
|
Mid
|
401
|
Ancestral reconstruction
|
441
|
14
|
B
|
Low
|
402
|
Fungal DNA barcoding
|
436
|
14
|
C
|
Low
|
403
|
FreeSurfer
|
434
|
14
|
Start
|
Mid
|
404
|
Allele frequency spectrum
|
434
|
14
|
Start
|
Low
|
405
|
Richard M. Durbin
|
432
|
13
|
C
|
Low
|
406
|
McDonald–Kreitman test
|
431
|
13
|
C
|
Mid
|
407
|
Pileup format
|
425
|
13
|
Start
|
Low
|
408
|
Structural genomics
|
424
|
13
|
Start
|
High
|
409
|
List of sequenced eukaryotic genomes
|
424
|
13
|
List
|
Mid
|
410
|
Long branch attraction
|
421
|
13
|
Start
|
Low
|
411
|
Robinson–Foulds metric
|
419
|
13
|
C
|
Low
|
412
|
Threading (protein sequence)
|
412
|
13
|
Start
|
High
|
413
|
Hanes–Woolf plot
|
410
|
13
|
Start
|
Low
|
414
|
Digital phenotyping
|
409
|
13
|
Start
|
Low
|
415
|
Ehud Shapiro
|
408
|
13
|
Start
|
Low
|
416
|
MUSCLE (alignment software)
|
408
|
13
|
Start
|
Mid
|
417
|
Generic Model Organism Database
|
401
|
12
|
Start
|
High
|
418
|
Orphanet
|
399
|
12
|
C
|
Low
|
419
|
Haplotype estimation
|
399
|
12
|
Start
|
Low
|
420
|
BMC Bioinformatics
|
397
|
12
|
C
|
Low
|
421
|
Codon Adaptation Index
|
394
|
12
|
Stub
|
Low
|
422
|
Fish DNA barcoding
|
393
|
12
|
Start
|
Low
|
423
|
Algae DNA barcoding
|
392
|
12
|
Start
|
Low
|
424
|
FlowJo
|
388
|
12
|
Start
|
Low
|
425
|
Briefings in Bioinformatics
|
387
|
12
|
Start
|
Low
|
426
|
SPAdes (software)
|
387
|
12
|
C
|
Low
|
427
|
International Society for Computational Biology
|
383
|
12
|
B
|
High
|
428
|
David Goodsell
|
382
|
12
|
C
|
Low
|
429
|
Protein structure database
|
380
|
12
|
Start
|
Low
|
430
|
Tom Blundell
|
379
|
12
|
C
|
Low
|
431
|
100,000 Genomes Project
|
379
|
12
|
C
|
Low
|
432
|
List of gene prediction software
|
374
|
12
|
List
|
Mid
|
433
|
Genetic operator
|
373
|
12
|
Start
|
Low
|
434
|
Diseases Database
|
373
|
12
|
Start
|
Mid
|
435
|
Demographic and Health Surveys
|
373
|
12
|
B
|
Low
|
436
|
Nicolas Rashevsky
|
371
|
11
|
B
|
Mid
|
437
|
Quantum Aspects of Life
|
370
|
11
|
Stub
|
Low
|
438
|
Reactome
|
369
|
11
|
Start
|
Low
|
439
|
David Botstein
|
369
|
11
|
Start
|
Low
|
440
|
Allen Brain Atlas
|
366
|
11
|
C
|
Mid
|
441
|
EMBOSS
|
362
|
11
|
Start
|
Mid
|
442
|
Metabolic flux analysis
|
362
|
11
|
Stub
|
Low
|
443
|
De novo transcriptome assembly
|
361
|
11
|
C
|
Mid
|
444
|
CUT&Tag sequencing
|
361
|
11
|
Start
|
Low
|
445
|
Phylogenetic Assignment of Named Global Outbreak Lineages
|
359
|
11
|
Start
|
Low
|
446
|
SBML
|
358
|
11
|
B
|
High
|
447
|
Steven Salzberg
|
357
|
11
|
Start
|
Low
|
448
|
Epitranscriptome
|
356
|
11
|
B
|
Low
|
449
|
Consensus CDS Project
|
355
|
11
|
C
|
Low
|
450
|
Epigenome-wide association study
|
355
|
11
|
C
|
Low
|
451
|
European Nucleotide Archive
|
354
|
11
|
GA
|
Mid
|
452
|
Chemical library
|
353
|
11
|
Start
|
Low
|
453
|
Protein tandem repeats
|
353
|
11
|
Start
|
Mid
|
454
|
ChIP-on-chip
|
351
|
11
|
C
|
Low
|
455
|
Jay Shendure
|
350
|
11
|
Start
|
Low
|
456
|
Intelligent Systems for Molecular Biology
|
348
|
11
|
GA
|
Low
|
457
|
Microbial DNA barcoding
|
348
|
11
|
Start
|
Low
|
458
|
Sequence clustering
|
347
|
11
|
Start
|
Mid
|
459
|
Biomedical text mining
|
347
|
11
|
Start
|
High
|
460
|
Ordinal priority approach
|
347
|
11
|
C
|
Unknown
|
461
|
Global distance test
|
346
|
11
|
Stub
|
Low
|
462
|
Biocuration
|
346
|
11
|
B
|
High
|
463
|
Dehaene–Changeux model
|
344
|
11
|
Start
|
Low
|
464
|
High-frequency oscillations
|
342
|
11
|
C
|
Low
|
465
|
Human Protein Atlas
|
341
|
11
|
Start
|
Low
|
466
|
Joseph DeRisi
|
338
|
10
|
Start
|
Low
|
467
|
Animal Diversity Web
|
335
|
10
|
C
|
Mid
|
468
|
Imaging informatics
|
335
|
10
|
Start
|
Low
|
469
|
Swiss Institute of Bioinformatics
|
333
|
10
|
Start
|
Low
|
470
|
Consumer-resource model
|
333
|
10
|
B
|
Unknown
|
471
|
Pyotr Anokhin
|
332
|
10
|
Start
|
Low
|
472
|
Eran Segal
|
332
|
10
|
Start
|
Low
|
473
|
Dryad (repository)
|
329
|
10
|
Start
|
Low
|
474
|
Hiroaki Kitano
|
328
|
10
|
Start
|
Mid
|
475
|
Hindmarsh–Rose model
|
328
|
10
|
Stub
|
Low
|
476
|
Chou–Fasman method
|
327
|
10
|
B
|
Mid
|
477
|
Eugene Myers
|
327
|
10
|
Start
|
Low
|
478
|
Next-generation matrix
|
327
|
10
|
Start
|
Low
|
479
|
Fluxomics
|
326
|
10
|
Start
|
Low
|
480
|
Bernd Sturmfels
|
321
|
10
|
Stub
|
Low
|
481
|
List of bioinformatics companies
|
320
|
10
|
List
|
Mid
|
482
|
Biological data visualization
|
319
|
10
|
Start
|
Mid
|
483
|
National Institute of Biomedical Genomics
|
317
|
10
|
Stub
|
Mid
|
484
|
Unique molecular identifier
|
317
|
10
|
Stub
|
Low
|
485
|
List of software for Monte Carlo molecular modeling
|
315
|
10
|
List
|
Mid
|
486
|
List of biodiversity databases
|
313
|
10
|
List
|
Low
|
487
|
OpenMS
|
312
|
10
|
C
|
Low
|
488
|
Dana Pe'er
|
310
|
10
|
B
|
Mid
|
489
|
Edward C. Holmes
|
308
|
9
|
Start
|
Low
|
490
|
BioGRID
|
307
|
9
|
Start
|
Low
|
491
|
Hypothetical protein
|
306
|
9
|
Start
|
Low
|
492
|
Direct coupling analysis
|
306
|
9
|
C
|
Low
|
493
|
Macromolecular docking
|
305
|
9
|
B
|
Mid
|
494
|
Protein pKa calculations
|
305
|
9
|
Start
|
Low
|
495
|
Crystallography Open Database
|
305
|
9
|
Stub
|
Low
|
496
|
Mouse Genome Informatics
|
302
|
9
|
Stub
|
Low
|
497
|
BLAT (bioinformatics)
|
302
|
9
|
B
|
Low
|
498
|
Brian Goodwin
|
301
|
9
|
Start
|
Low
|
499
|
GENESIS (software)
|
301
|
9
|
Start
|
Low
|
500
|
Molecular models of DNA
|
299
|
9
|
B
|
Mid
|