Rank
|
Page title
|
Views
|
Daily average
|
Assessment
|
Importance
|
1
|
CRISPR
|
35,257
|
1,175
|
B
|
Top
|
2
|
Receiver operating characteristic
|
30,474
|
1,015
|
B
|
Mid
|
3
|
23andMe
|
28,248
|
941
|
C
|
Low
|
4
|
Last universal common ancestor
|
27,667
|
922
|
GA
|
Mid
|
5
|
Clade
|
24,012
|
800
|
C
|
Mid
|
6
|
PubMed Central
|
23,806
|
793
|
B
|
Mid
|
7
|
Dynamic programming
|
23,389
|
779
|
B
|
Top
|
8
|
Hidden Markov model
|
22,895
|
763
|
GA
|
Top
|
9
|
AlphaFold
|
22,857
|
761
|
C
|
High
|
10
|
Systems theory
|
19,124
|
637
|
C
|
Mid
|
11
|
Bioinformatics
|
18,133
|
604
|
C
|
Top
|
12
|
Phylogenetic tree
|
16,710
|
557
|
B
|
Top
|
13
|
Michaelis–Menten kinetics
|
15,793
|
526
|
B
|
Top
|
14
|
Cellular automaton
|
15,417
|
513
|
B
|
Low
|
15
|
Phylogenetics
|
13,674
|
455
|
B
|
Top
|
16
|
DNA sequencing
|
13,327
|
444
|
C
|
High
|
17
|
David Baker (biochemist)
|
12,941
|
431
|
Start
|
Low
|
18
|
Genome
|
12,336
|
411
|
C
|
High
|
19
|
Ontology (information science)
|
11,717
|
390
|
C
|
High
|
20
|
National Center for Biotechnology Information
|
10,100
|
336
|
C
|
Low
|
21
|
Compartmental models in epidemiology
|
10,071
|
335
|
C
|
Mid
|
22
|
Sanger sequencing
|
10,068
|
335
|
C
|
Mid
|
23
|
FASTA format
|
9,154
|
305
|
B
|
High
|
24
|
Most recent common ancestor
|
8,185
|
272
|
B
|
High
|
25
|
Martin Kulldorff
|
7,887
|
262
|
B
|
Low
|
26
|
Synthetic biology
|
7,832
|
261
|
B
|
Mid
|
27
|
Heat map
|
7,597
|
253
|
Start
|
High
|
28
|
Cladistics
|
7,492
|
249
|
C
|
Mid
|
29
|
Medical Subject Headings
|
7,426
|
247
|
C
|
Mid
|
30
|
List of algorithms
|
6,999
|
233
|
List
|
Mid
|
31
|
Genomics
|
6,889
|
229
|
B
|
High
|
32
|
FASTQ format
|
6,633
|
221
|
B
|
Mid
|
33
|
BLAST (biotechnology)
|
6,269
|
208
|
C
|
Top
|
34
|
Illumina, Inc.
|
6,241
|
208
|
C
|
Low
|
35
|
Petri net
|
6,166
|
205
|
B
|
Low
|
36
|
Computational biology
|
6,077
|
202
|
C
|
Top
|
37
|
PubChem
|
6,031
|
201
|
Start
|
Mid
|
38
|
Whole genome sequencing
|
6,023
|
200
|
B
|
High
|
39
|
Lineweaver–Burk plot
|
5,976
|
199
|
B
|
Low
|
40
|
RNA-Seq
|
5,959
|
198
|
B
|
Top
|
41
|
Phi coefficient
|
5,933
|
197
|
Start
|
Mid
|
42
|
Needleman–Wunsch algorithm
|
5,856
|
195
|
Start
|
Mid
|
43
|
Mathematical and theoretical biology
|
5,789
|
192
|
C
|
Top
|
44
|
Biostatistics
|
5,683
|
189
|
B
|
Top
|
45
|
Proteomics
|
5,677
|
189
|
C
|
High
|
46
|
Protein Data Bank
|
5,600
|
186
|
C
|
High
|
47
|
Sequence alignment
|
5,202
|
173
|
C
|
High
|
48
|
Omics
|
5,111
|
170
|
C
|
Mid
|
49
|
Computational neuroscience
|
5,052
|
168
|
C
|
Top
|
50
|
Protein structure prediction
|
4,744
|
158
|
B
|
High
|
51
|
DNA microarray
|
4,652
|
155
|
B
|
Top
|
52
|
Europe PubMed Central
|
4,579
|
152
|
Start
|
Low
|
53
|
Genome-wide association study
|
4,559
|
151
|
GA
|
High
|
54
|
George Church (geneticist)
|
4,547
|
151
|
C
|
Mid
|
55
|
Folding@home
|
4,534
|
151
|
B
|
Mid
|
56
|
Phred quality score
|
4,415
|
147
|
Start
|
Mid
|
57
|
Denis Noble
|
4,352
|
145
|
Start
|
Low
|
58
|
Smith–Waterman algorithm
|
4,304
|
143
|
B
|
Top
|
59
|
Baum–Welch algorithm
|
4,301
|
143
|
C
|
Mid
|
60
|
Jmol
|
4,258
|
141
|
Start
|
Mid
|
61
|
Systems biology
|
4,211
|
140
|
C
|
Top
|
62
|
Isomorphic Labs
|
4,203
|
140
|
Stub
|
Low
|
63
|
Variant Call Format
|
4,179
|
139
|
Start
|
Mid
|
64
|
Gene nomenclature
|
3,918
|
130
|
Start
|
Mid
|
65
|
Spurious relationship
|
3,900
|
130
|
Start
|
Low
|
66
|
Single-cell sequencing
|
3,871
|
129
|
C
|
High
|
67
|
DNA barcoding
|
3,832
|
127
|
B
|
High
|
68
|
STR analysis
|
3,827
|
127
|
Start
|
Low
|
69
|
Metagenomics
|
3,794
|
126
|
GA
|
Mid
|
70
|
Burrows–Wheeler transform
|
3,788
|
126
|
C
|
Mid
|
71
|
What Is Life?
|
3,771
|
125
|
C
|
Low
|
72
|
Non-coding DNA
|
3,727
|
124
|
C
|
Low
|
73
|
Similarity measure
|
3,684
|
122
|
Start
|
Mid
|
74
|
BLOSUM
|
3,633
|
121
|
C
|
High
|
75
|
Junk DNA
|
3,630
|
121
|
B
|
Low
|
76
|
Biological computing
|
3,579
|
119
|
C
|
Mid
|
77
|
Nanopore sequencing
|
3,485
|
116
|
C
|
Low
|
78
|
Molecular clock
|
3,353
|
111
|
C
|
High
|
79
|
Multiple sequence alignment
|
3,344
|
111
|
Unknown
|
High
|
80
|
Metabolomics
|
3,321
|
110
|
C
|
Mid
|
81
|
KEGG
|
3,301
|
110
|
C
|
High
|
82
|
Docking (molecular)
|
3,297
|
109
|
B
|
High
|
83
|
KNIME
|
3,283
|
109
|
Start
|
Low
|
84
|
High-throughput screening
|
3,183
|
106
|
B
|
Low
|
85
|
Intrinsically disordered proteins
|
3,085
|
102
|
Start
|
Mid
|
86
|
Daphne Koller
|
3,066
|
102
|
C
|
Low
|
87
|
Ludwig von Bertalanffy
|
3,035
|
101
|
Start
|
Low
|
88
|
Combined DNA Index System
|
2,955
|
98
|
GA
|
Low
|
89
|
Root mean square deviation of atomic positions
|
2,954
|
98
|
Start
|
Mid
|
90
|
Illumina dye sequencing
|
2,939
|
97
|
C
|
Mid
|
91
|
Broad Institute
|
2,915
|
97
|
Start
|
Low
|
92
|
ATAC-seq
|
2,912
|
97
|
Start
|
Low
|
93
|
Exome sequencing
|
2,903
|
96
|
C
|
High
|
94
|
Gene Ontology
|
2,878
|
95
|
C
|
High
|
95
|
FitzHugh–Nagumo model
|
2,795
|
93
|
C
|
Low
|
96
|
BED (file format)
|
2,794
|
93
|
C
|
Low
|
97
|
SAM (file format)
|
2,793
|
93
|
Start
|
Mid
|
98
|
Genetic programming
|
2,789
|
92
|
B
|
Mid
|
99
|
Multiomics
|
2,787
|
92
|
C
|
High
|
100
|
Crossover (genetic algorithm)
|
2,776
|
92
|
B
|
Low
|
101
|
Andrew Huxley
|
2,752
|
91
|
C
|
Low
|
102
|
Gene set enrichment analysis
|
2,745
|
91
|
C
|
Mid
|
103
|
UniProt
|
2,655
|
88
|
Start
|
High
|
104
|
Data wrangling
|
2,638
|
87
|
Start
|
Low
|
105
|
Monod equation
|
2,638
|
87
|
Start
|
Low
|
106
|
Wikispecies
|
2,599
|
86
|
Start
|
Mid
|
107
|
Bioconductor
|
2,588
|
86
|
C
|
Mid
|
108
|
ChIP sequencing
|
2,580
|
86
|
C
|
Mid
|
109
|
Environmental DNA
|
2,550
|
85
|
B
|
Low
|
110
|
Volcano plot (statistics)
|
2,516
|
83
|
C
|
Mid
|
111
|
Foundational Model of Anatomy
|
2,505
|
83
|
Start
|
Low
|
112
|
K-mer
|
2,503
|
83
|
B
|
Mid
|
113
|
Pardis Sabeti
|
2,474
|
82
|
B
|
Low
|
114
|
Fitness function
|
2,468
|
82
|
Start
|
Mid
|
115
|
Spatial transcriptomics
|
2,467
|
82
|
Start
|
Low
|
116
|
Oxford Nanopore Technologies
|
2,459
|
81
|
Start
|
Low
|
117
|
Protein–protein interaction
|
2,401
|
80
|
C
|
High
|
118
|
Robert Gentleman (statistician)
|
2,379
|
79
|
Start
|
Mid
|
119
|
Kabsch algorithm
|
2,371
|
79
|
Start
|
Mid
|
120
|
Transcriptome
|
2,332
|
77
|
B
|
High
|
121
|
John Maynard Smith
|
2,310
|
77
|
C
|
Mid
|
122
|
Microarray
|
2,278
|
75
|
Start
|
Top
|
123
|
GenBank
|
2,274
|
75
|
Start
|
High
|
124
|
Michael Levitt (biophysicist)
|
2,263
|
75
|
C
|
Low
|
125
|
Neighbor joining
|
2,257
|
75
|
C
|
High
|
126
|
Brain mapping
|
2,224
|
74
|
Start
|
Low
|
127
|
Global Biodiversity Information Facility
|
2,210
|
73
|
Start
|
Low
|
128
|
PyMOL
|
2,208
|
73
|
Start
|
Low
|
129
|
N50, L50, and related statistics
|
2,203
|
73
|
Start
|
Low
|
130
|
Cyberneticist
|
2,177
|
72
|
Stub
|
Low
|
131
|
10x Genomics
|
2,174
|
72
|
Start
|
Mid
|
132
|
ChEMBL
|
2,158
|
71
|
Start
|
Mid
|
133
|
Molecular phylogenetics
|
2,136
|
71
|
C
|
High
|
134
|
Protein Data Bank (file format)
|
2,116
|
70
|
Start
|
Mid
|
135
|
UPGMA
|
2,112
|
70
|
C
|
Low
|
136
|
Superspreading event
|
2,084
|
69
|
C
|
High
|
137
|
Gene regulatory network
|
2,069
|
68
|
B
|
High
|
138
|
Online Mendelian Inheritance in Man
|
2,032
|
67
|
Start
|
Mid
|
139
|
UK Biobank
|
2,027
|
67
|
B
|
Low
|
140
|
Schrödinger, Inc.
|
2,024
|
67
|
Start
|
Low
|
141
|
Polygenic score
|
2,002
|
66
|
C
|
Mid
|
142
|
C. H. Waddington
|
1,970
|
65
|
C
|
Low
|
143
|
Pan-genome
|
1,954
|
65
|
C
|
Mid
|
144
|
Reference genome
|
1,947
|
64
|
Start
|
Low
|
145
|
CASP
|
1,938
|
64
|
C
|
Mid
|
146
|
Distance matrix
|
1,925
|
64
|
Start
|
High
|
147
|
ENCODE
|
1,925
|
64
|
C
|
Mid
|
148
|
Genetic distance
|
1,898
|
63
|
B
|
Mid
|
149
|
Clustal
|
1,871
|
62
|
Start
|
Mid
|
150
|
Genome size
|
1,857
|
61
|
B
|
Mid
|
151
|
Proteome
|
1,851
|
61
|
C
|
High
|
152
|
Topologically associating domain
|
1,849
|
61
|
C
|
Low
|
153
|
Aviv Regev
|
1,820
|
60
|
Start
|
Low
|
154
|
Phylogenetic Assignment of Named Global Outbreak Lineages
|
1,819
|
60
|
Start
|
Low
|
155
|
Transcriptomics technologies
|
1,810
|
60
|
GA
|
High
|
156
|
Mathematical modelling of infectious diseases
|
1,804
|
60
|
C
|
Low
|
157
|
List of biological databases
|
1,795
|
59
|
List
|
High
|
158
|
Conserved sequence
|
1,792
|
59
|
C
|
High
|
159
|
European Molecular Biology Laboratory
|
1,791
|
59
|
C
|
Low
|
160
|
ChEBI
|
1,767
|
58
|
Start
|
Low
|
161
|
Metabarcoding
|
1,744
|
58
|
B
|
Low
|
162
|
Phylogeny
|
1,702
|
56
|
Redirect
|
NA
|
163
|
Rosetta@home
|
1,702
|
56
|
C
|
Mid
|
164
|
List of sequence alignment software
|
1,700
|
56
|
List
|
High
|
165
|
Computational phylogenetics
|
1,685
|
56
|
C
|
High
|
166
|
Approximate Bayesian computation
|
1,664
|
55
|
B
|
Low
|
167
|
Models of DNA evolution
|
1,621
|
54
|
B
|
Mid
|
168
|
Encyclopedia of Life
|
1,610
|
53
|
Start
|
Mid
|
169
|
Synteny
|
1,575
|
52
|
Start
|
Low
|
170
|
Alan Hodgkin
|
1,530
|
51
|
Start
|
Low
|
171
|
Maximum parsimony (phylogenetics)
|
1,519
|
50
|
C
|
High
|
172
|
Consensus sequence
|
1,513
|
50
|
Start
|
High
|
173
|
List of open-source bioinformatics software
|
1,495
|
49
|
List
|
High
|
174
|
DNA sequencer
|
1,486
|
49
|
Start
|
Low
|
175
|
Catalogue of Life
|
1,459
|
48
|
C
|
Low
|
176
|
General feature format
|
1,435
|
47
|
Start
|
Low
|
177
|
List of mass spectrometry software
|
1,419
|
47
|
List
|
Low
|
178
|
Haar-like feature
|
1,412
|
47
|
C
|
Low
|
179
|
Biological network inference
|
1,406
|
46
|
C
|
Low
|
180
|
Data curation
|
1,406
|
46
|
Start
|
Mid
|
181
|
Lenia
|
1,400
|
46
|
Start
|
Unknown
|
182
|
Ensembl genome database project
|
1,390
|
46
|
B
|
High
|
183
|
European Bioinformatics Institute
|
1,387
|
46
|
C
|
Low
|
184
|
FishBase
|
1,382
|
46
|
Start
|
Low
|
185
|
List of protein structure prediction software
|
1,355
|
45
|
List
|
Mid
|
186
|
Protein design
|
1,353
|
45
|
C
|
Mid
|
187
|
Manolis Kellis
|
1,336
|
44
|
C
|
Low
|
188
|
Position weight matrix
|
1,334
|
44
|
C
|
Top
|
189
|
Pfam
|
1,332
|
44
|
B
|
High
|
190
|
Chromosome conformation capture
|
1,331
|
44
|
C
|
Low
|
191
|
Indel
|
1,312
|
43
|
Start
|
Low
|
192
|
Binary Alignment Map
|
1,308
|
43
|
Stub
|
Mid
|
193
|
1000 Genomes Project
|
1,297
|
43
|
B
|
Low
|
194
|
DNA annotation
|
1,292
|
43
|
Start
|
Low
|
195
|
DNA database
|
1,289
|
42
|
Start
|
Mid
|
196
|
Contig
|
1,283
|
42
|
C
|
High
|
197
|
Point accepted mutation
|
1,282
|
42
|
B
|
High
|
198
|
FASTA
|
1,277
|
42
|
B
|
High
|
199
|
Wellcome Sanger Institute
|
1,271
|
42
|
C
|
Low
|
200
|
Substitution model
|
1,254
|
41
|
B
|
Mid
|
201
|
Biochemical cascade
|
1,242
|
41
|
C
|
Mid
|
202
|
SNP array
|
1,242
|
41
|
Start
|
High
|
203
|
Sarah Teichmann
|
1,210
|
40
|
C
|
Low
|
204
|
Cable theory
|
1,202
|
40
|
C
|
Mid
|
205
|
Amino acid replacement
|
1,201
|
40
|
Start
|
High
|
206
|
Biobank
|
1,199
|
39
|
Start
|
High
|
207
|
Open Tree of Life
|
1,199
|
39
|
Start
|
Low
|
208
|
Mutation (genetic algorithm)
|
1,197
|
39
|
Start
|
Low
|
209
|
AMBER
|
1,196
|
39
|
C
|
Mid
|
210
|
GROMACS
|
1,188
|
39
|
Start
|
Low
|
211
|
Sequence motif
|
1,187
|
39
|
Start
|
High
|
212
|
Homology modeling
|
1,186
|
39
|
B
|
High
|
213
|
Functional genomics
|
1,181
|
39
|
C
|
High
|
214
|
Single-cell transcriptomics
|
1,177
|
39
|
C
|
Mid
|
215
|
Celera Corporation
|
1,175
|
39
|
Start
|
Low
|
216
|
Solvation shell
|
1,173
|
39
|
Start
|
Low
|
217
|
Eadie–Hofstee diagram
|
1,140
|
38
|
Start
|
Low
|
218
|
STRING
|
1,116
|
37
|
B
|
Low
|
219
|
Sequence logo
|
1,111
|
37
|
B
|
Mid
|
220
|
Gene family
|
1,104
|
36
|
C
|
High
|
221
|
Protein family
|
1,091
|
36
|
Start
|
High
|
222
|
RefSeq
|
1,082
|
36
|
Start
|
Mid
|
223
|
Biological database
|
1,076
|
35
|
Start
|
High
|
224
|
Weighted correlation network analysis
|
1,076
|
35
|
B
|
Low
|
225
|
Leroy Hood
|
1,072
|
35
|
B
|
Low
|
226
|
Microarray analysis techniques
|
1,063
|
35
|
B
|
Mid
|
227
|
Sepp Hochreiter
|
1,057
|
35
|
Start
|
Low
|
228
|
Outgroup (cladistics)
|
1,053
|
35
|
Start
|
Mid
|
229
|
Entrez
|
1,050
|
35
|
Start
|
Mid
|
230
|
Probabilistic context-free grammar
|
1,047
|
34
|
B
|
High
|
231
|
Ukkonen's algorithm
|
1,047
|
34
|
Stub
|
Low
|
232
|
Bayesian inference in phylogeny
|
1,046
|
34
|
C
|
High
|
233
|
Knowledge engineering
|
1,045
|
34
|
Start
|
Low
|
234
|
Gap penalty
|
1,041
|
34
|
C
|
High
|
235
|
Matthews correlation coefficient
|
1,028
|
34
|
Redirect
|
NA
|
236
|
Biochip
|
1,022
|
34
|
C
|
Low
|
237
|
Cytoscape
|
1,019
|
33
|
B
|
High
|
238
|
MA plot
|
1,017
|
33
|
Start
|
Low
|
239
|
RNA integrity number
|
1,009
|
33
|
Stub
|
Low
|
240
|
Vito Volterra
|
1,002
|
33
|
C
|
Low
|
241
|
Sequence assembly
|
999
|
33
|
Start
|
High
|
242
|
Hirschberg's algorithm
|
992
|
33
|
B
|
Low
|
243
|
Tournament selection
|
980
|
32
|
Start
|
Low
|
244
|
Amplicon sequence variant
|
980
|
32
|
Start
|
Low
|
245
|
Sequence analysis
|
979
|
32
|
C
|
Top
|
246
|
Monod–Wyman–Changeux model
|
972
|
32
|
Start
|
Mid
|
247
|
AutoDock
|
965
|
32
|
Start
|
Mid
|
248
|
Motoo Kimura
|
960
|
32
|
C
|
High
|
249
|
Umbrella sampling
|
959
|
31
|
Start
|
Low
|
250
|
Avogadro (software)
|
957
|
31
|
Stub
|
Low
|
251
|
Biological network
|
953
|
31
|
C
|
High
|
252
|
De novo peptide sequencing
|
950
|
31
|
Start
|
Low
|
253
|
D'Arcy Wentworth Thompson
|
943
|
31
|
GA
|
Mid
|
254
|
Metabolome
|
932
|
31
|
C
|
High
|
255
|
Cooperative binding
|
922
|
30
|
B
|
Mid
|
256
|
List of bioinformatics journals
|
921
|
30
|
List
|
Low
|
257
|
GeneCards
|
920
|
30
|
C
|
Mid
|
258
|
Virtual screening
|
894
|
29
|
Start
|
High
|
259
|
NanoString Technologies
|
892
|
29
|
Start
|
Low
|
260
|
Population structure (genetics)
|
891
|
29
|
Start
|
Low
|
261
|
DbSNP
|
889
|
29
|
B
|
Mid
|
262
|
Boolean network
|
867
|
28
|
C
|
Mid
|
263
|
Comparative genomics
|
861
|
28
|
C
|
Top
|
264
|
Barcode of Life Data System
|
854
|
28
|
Stub
|
Low
|
265
|
Gene expression profiling
|
840
|
28
|
B
|
High
|
266
|
Mathematical physiology
|
837
|
27
|
Stub
|
Mid
|
267
|
List of phylogenetics software
|
835
|
27
|
List
|
High
|
268
|
UCSC Genome Browser
|
833
|
27
|
Start
|
High
|
269
|
Michael Eisen
|
832
|
27
|
Start
|
Low
|
270
|
Eric Xing
|
832
|
27
|
Stub
|
Low
|
271
|
List of RNA-Seq bioinformatics tools
|
831
|
27
|
List
|
Mid
|
272
|
Substitution matrix
|
827
|
27
|
C
|
High
|
273
|
Systems neuroscience
|
825
|
27
|
Stub
|
Mid
|
274
|
Biological systems engineering
|
821
|
27
|
Start
|
Low
|
275
|
Ion semiconductor sequencing
|
821
|
27
|
C
|
Low
|
276
|
CHARMM
|
813
|
27
|
B
|
Mid
|
277
|
Paradox of the plankton
|
806
|
26
|
Start
|
Low
|
278
|
EBird
|
804
|
26
|
Start
|
Low
|
279
|
Template modeling score
|
804
|
26
|
Start
|
Low
|
280
|
CUT&RUN sequencing
|
794
|
26
|
C
|
Low
|
281
|
Dot plot (bioinformatics)
|
793
|
26
|
Start
|
Mid
|
282
|
Bonnie Berger
|
793
|
26
|
Start
|
Low
|
283
|
CATH database
|
792
|
26
|
Start
|
Mid
|
284
|
DeCODE genetics
|
792
|
26
|
Start
|
Low
|
285
|
Structural Classification of Proteins database
|
789
|
26
|
Start
|
High
|
286
|
GeneDx
|
787
|
26
|
Stub
|
Low
|
287
|
Molecular Evolutionary Genetics Analysis
|
776
|
25
|
Start
|
Low
|
288
|
List of protein-ligand docking software
|
774
|
25
|
List
|
Mid
|
289
|
Hanes–Woolf plot
|
773
|
25
|
Start
|
Low
|
290
|
Theoretical ecology
|
767
|
25
|
B
|
High
|
291
|
Eugene Koonin
|
765
|
25
|
Start
|
Low
|
292
|
Protein contact map
|
764
|
25
|
Start
|
Mid
|
293
|
Interactome
|
756
|
25
|
C
|
Mid
|
294
|
MGI (company)
|
752
|
25
|
C
|
Low
|
295
|
Lior Pachter
|
744
|
24
|
Start
|
Mid
|
296
|
Robert Rosen (biologist)
|
741
|
24
|
Start
|
Low
|
297
|
ABI Solid Sequencing
|
741
|
24
|
Start
|
Low
|
298
|
HMMER
|
737
|
24
|
B
|
High
|
299
|
Flux balance analysis
|
731
|
24
|
B
|
High
|
300
|
Synthetic biological circuit
|
729
|
24
|
Start
|
Low
|
301
|
BRENDA
|
728
|
24
|
Start
|
Mid
|
302
|
UCSF Chimera
|
728
|
24
|
Start
|
Low
|
303
|
Polytomy
|
716
|
23
|
Start
|
Low
|
304
|
DNA Data Bank of Japan
|
715
|
23
|
Stub
|
Low
|
305
|
World Community Grid
|
708
|
23
|
C
|
Low
|
306
|
Weasel program
|
703
|
23
|
B
|
Low
|
307
|
Machine learning in bioinformatics
|
702
|
23
|
C
|
High
|
308
|
Attack rate
|
700
|
23
|
Start
|
Mid
|
309
|
Tree of Life Web Project
|
696
|
23
|
Start
|
Low
|
310
|
Protein superfamily
|
696
|
23
|
B
|
High
|
311
|
CRISPR interference
|
696
|
23
|
B
|
Low
|
312
|
DSSP (algorithm)
|
695
|
23
|
Start
|
Low
|
313
|
List of sequenced animal genomes
|
694
|
23
|
List
|
Mid
|
314
|
Margaret Oakley Dayhoff
|
678
|
22
|
B
|
High
|
315
|
List of RNA structure prediction software
|
677
|
22
|
List
|
Low
|
316
|
Co-occurrence network
|
677
|
22
|
Start
|
Low
|
317
|
Galaxy (computational biology)
|
666
|
22
|
Start
|
High
|
318
|
Lipidomics
|
664
|
22
|
C
|
Low
|
319
|
Chemical database
|
661
|
22
|
Start
|
Mid
|
320
|
PLOS Computational Biology
|
659
|
21
|
Start
|
High
|
321
|
Rob Knight (biologist)
|
658
|
21
|
Stub
|
Low
|
322
|
Gene prediction
|
656
|
21
|
C
|
High
|
323
|
InterPro
|
650
|
21
|
B
|
High
|
324
|
SAMtools
|
645
|
21
|
Start
|
Low
|
325
|
List of phylogenetic tree visualization software
|
644
|
21
|
List
|
Mid
|
326
|
All of Us (initiative)
|
642
|
21
|
C
|
Low
|
327
|
Nexus file
|
641
|
21
|
Start
|
Low
|
328
|
Ecosystem model
|
637
|
21
|
Start
|
Mid
|
329
|
Cross-species transmission
|
630
|
21
|
C
|
Low
|
330
|
Biopython
|
627
|
20
|
C
|
High
|
331
|
Trajectory inference
|
626
|
20
|
C
|
Low
|
332
|
Metabolic network modelling
|
625
|
20
|
C
|
Mid
|
333
|
Expasy
|
620
|
20
|
Start
|
Mid
|
334
|
Mass spectrometry data format
|
619
|
20
|
Start
|
Low
|
335
|
Stephen Altschul
|
616
|
20
|
Start
|
Low
|
336
|
PROSITE
|
614
|
20
|
Start
|
High
|
337
|
454 Life Sciences
|
611
|
20
|
C
|
Low
|
338
|
HUGO Gene Nomenclature Committee
|
609
|
20
|
Start
|
Mid
|
339
|
Scoring functions for docking
|
607
|
20
|
Start
|
Mid
|
340
|
Conservative replacement
|
605
|
20
|
Start
|
Low
|
341
|
Network motif
|
603
|
20
|
B
|
Low
|
342
|
Modelling biological systems
|
599
|
19
|
C
|
High
|
343
|
Institute of Genomics and Integrative Biology
|
596
|
19
|
C
|
Low
|
344
|
Evolutionary grade
|
593
|
19
|
Start
|
High
|
345
|
List of sequenced eukaryotic genomes
|
586
|
19
|
List
|
Mid
|
346
|
ARKive
|
585
|
19
|
C
|
Mid
|
347
|
CRAM (file format)
|
583
|
19
|
Start
|
Low
|
348
|
Accession number (bioinformatics)
|
581
|
19
|
Start
|
Low
|
349
|
List of molecular graphics systems
|
580
|
19
|
List
|
Mid
|
350
|
Dry lab
|
578
|
19
|
Start
|
High
|
351
|
List of biodiversity databases
|
571
|
19
|
List
|
Low
|
352
|
Batch effect
|
571
|
19
|
Stub
|
Low
|
353
|
Marginal value theorem
|
570
|
19
|
C
|
Unknown
|
354
|
Barry Smith (ontologist)
|
569
|
18
|
C
|
Low
|
355
|
Bioinformatics (journal)
|
567
|
18
|
Start
|
High
|
356
|
Genomic organization
|
563
|
18
|
Start
|
Low
|
357
|
Swiss-model
|
561
|
18
|
Start
|
Mid
|
358
|
Atul Butte
|
561
|
18
|
Start
|
Mid
|
359
|
MAFFT
|
560
|
18
|
Stub
|
Mid
|
360
|
Synthetic virology
|
558
|
18
|
Start
|
Mid
|
361
|
Chromosome (genetic algorithm)
|
555
|
18
|
Start
|
Low
|
362
|
List of neuroscience databases
|
554
|
18
|
List
|
Low
|
363
|
McDonald–Kreitman test
|
554
|
18
|
C
|
Mid
|
364
|
Structural bioinformatics
|
549
|
18
|
B
|
High
|
365
|
UniFrac
|
548
|
18
|
Stub
|
Low
|
366
|
Alston Scott Householder
|
545
|
18
|
Start
|
Low
|
367
|
Animal Diversity Web
|
540
|
18
|
C
|
Mid
|
368
|
Biclustering
|
539
|
17
|
B
|
Mid
|
369
|
NK model
|
538
|
17
|
B
|
Low
|
370
|
List of genetic algorithm applications
|
537
|
17
|
List
|
Low
|
371
|
Haldane's dilemma
|
534
|
17
|
B
|
Low
|
372
|
Brendan Frey
|
534
|
17
|
B
|
Low
|
373
|
De novo sequence assemblers
|
534
|
17
|
Start
|
Low
|
374
|
Global distance test
|
531
|
17
|
Stub
|
Low
|
375
|
PHYLIP
|
530
|
17
|
Start
|
Low
|
376
|
Computational genomics
|
529
|
17
|
Start
|
Mid
|
377
|
Sequence Read Archive
|
529
|
17
|
Start
|
High
|
378
|
Centre for DNA Fingerprinting and Diagnostics
|
528
|
17
|
Start
|
Low
|
379
|
Tom Blundell
|
526
|
17
|
C
|
Low
|
380
|
Uri Alon
|
521
|
17
|
Start
|
Low
|
381
|
List of MeSH codes
|
520
|
17
|
List
|
Mid
|
382
|
Read (biology)
|
520
|
17
|
C
|
High
|
383
|
Mascot (software)
|
516
|
17
|
C
|
High
|
384
|
David J. Lipman
|
515
|
17
|
Start
|
Low
|
385
|
Fossilworks
|
513
|
17
|
Stub
|
Low
|
386
|
Molecular models of DNA
|
513
|
17
|
B
|
Mid
|
387
|
De novo protein structure prediction
|
512
|
17
|
Start
|
High
|
388
|
Paradox of enrichment
|
510
|
17
|
Start
|
Low
|
389
|
DAVID
|
508
|
16
|
Start
|
Mid
|
390
|
PLINK (genetic tool-set)
|
506
|
16
|
Stub
|
Low
|
391
|
ChIP-on-chip
|
504
|
16
|
C
|
Low
|
392
|
Elasticity coefficient
|
497
|
16
|
C
|
Mid
|
393
|
Long branch attraction
|
493
|
16
|
Start
|
Low
|
394
|
Pyotr Anokhin
|
492
|
16
|
Start
|
Low
|
395
|
Robinson–Foulds metric
|
491
|
16
|
C
|
Low
|
396
|
MUSCLE (alignment software)
|
488
|
16
|
Start
|
Mid
|
397
|
Visual Molecular Dynamics
|
484
|
16
|
Start
|
Low
|
398
|
FreeSurfer
|
484
|
16
|
Start
|
Mid
|
399
|
Hindmarsh–Rose model
|
484
|
16
|
Stub
|
Low
|
400
|
Genomics England
|
477
|
15
|
Start
|
Low
|
401
|
Genetic operator
|
475
|
15
|
Start
|
Low
|
402
|
Ewan Birney
|
470
|
15
|
C
|
Low
|
403
|
Phylogenetic comparative methods
|
468
|
15
|
C
|
Mid
|
404
|
Carl Bergstrom
|
467
|
15
|
Stub
|
Low
|
405
|
Edward C. Holmes
|
462
|
15
|
Start
|
Low
|
406
|
Bernd Sturmfels
|
459
|
15
|
Stub
|
Low
|
407
|
Chou–Fasman method
|
459
|
15
|
B
|
Mid
|
408
|
David Goodsell
|
459
|
15
|
C
|
Low
|
409
|
Binning (metagenomics)
|
459
|
15
|
Start
|
Low
|
410
|
Michael Laufer
|
455
|
15
|
Start
|
Unknown
|
411
|
Allele frequency spectrum
|
453
|
15
|
Start
|
Low
|
412
|
RasMol
|
447
|
14
|
Start
|
Mid
|
413
|
HomoloGene
|
445
|
14
|
Start
|
Low
|
414
|
Steven Salzberg
|
445
|
14
|
Start
|
Low
|
415
|
Nicolas Rashevsky
|
445
|
14
|
B
|
Mid
|
416
|
List of human protein-coding genes 1
|
444
|
14
|
List
|
High
|
417
|
Morris–Lecar model
|
443
|
14
|
Start
|
Low
|
418
|
List of alignment visualization software
|
440
|
14
|
List
|
Mid
|
419
|
Phylogenetic bracketing
|
437
|
14
|
Start
|
Low
|
420
|
Human Protein Atlas
|
436
|
14
|
Start
|
Low
|
421
|
Threading (protein sequence)
|
429
|
14
|
Start
|
High
|
422
|
Anduril (workflow engine)
|
427
|
14
|
B
|
Low
|
423
|
WPGMA
|
424
|
14
|
C
|
Low
|
424
|
Dynamic energy budget theory
|
418
|
13
|
C
|
Low
|
425
|
OBO Foundry
|
418
|
13
|
B
|
Mid
|
426
|
Demographic and Health Surveys
|
418
|
13
|
B
|
Low
|
427
|
Reactome
|
410
|
13
|
Start
|
Low
|
428
|
GENSCAN
|
409
|
13
|
Stub
|
Mid
|
429
|
List of gene prediction software
|
404
|
13
|
List
|
Mid
|
430
|
Pileup format
|
400
|
13
|
Start
|
Low
|
431
|
Allen Brain Atlas
|
398
|
13
|
C
|
Mid
|
432
|
Holland's schema theorem
|
397
|
13
|
Start
|
Low
|
433
|
Sequence database
|
395
|
13
|
Start
|
Mid
|
434
|
Taxonomic database
|
394
|
13
|
Start
|
Mid
|
435
|
PSIPRED
|
392
|
13
|
Start
|
High
|
436
|
Orphanet
|
389
|
12
|
C
|
Low
|
437
|
European Nucleotide Archive
|
389
|
12
|
GA
|
Mid
|
438
|
List of omics topics in biology
|
388
|
12
|
List
|
Low
|
439
|
EMBOSS
|
387
|
12
|
Start
|
Mid
|
440
|
Next-generation matrix
|
386
|
12
|
Start
|
Low
|
441
|
BLAT (bioinformatics)
|
385
|
12
|
B
|
Low
|
442
|
SPAdes (software)
|
383
|
12
|
C
|
Low
|
443
|
David Botstein
|
382
|
12
|
Start
|
Low
|
444
|
Ehud Shapiro
|
378
|
12
|
Start
|
Low
|
445
|
Pavel A. Pevzner
|
376
|
12
|
Start
|
Low
|
446
|
Diseases Database
|
374
|
12
|
Start
|
Mid
|
447
|
100,000 Genomes Project
|
373
|
12
|
C
|
Low
|
448
|
Ordinal priority approach
|
372
|
12
|
C
|
Unknown
|
449
|
Rafael Irizarry (scientist)
|
371
|
12
|
Start
|
Mid
|
450
|
Group size measures
|
370
|
12
|
Start
|
Low
|
451
|
BMC Bioinformatics
|
369
|
12
|
C
|
Low
|
452
|
MicroRNA sequencing
|
369
|
12
|
C
|
Low
|
453
|
Jay Shendure
|
369
|
12
|
Start
|
Low
|
454
|
Mikhail Gelfand
|
369
|
12
|
Stub
|
Mid
|
455
|
Janet Thornton
|
368
|
12
|
C
|
Low
|
456
|
Dryad (repository)
|
367
|
12
|
Start
|
Low
|
457
|
CUT&Tag sequencing
|
365
|
12
|
Start
|
Low
|
458
|
Generic Model Organism Database
|
364
|
12
|
Start
|
High
|
459
|
Peter Donnelly
|
362
|
12
|
Start
|
Low
|
460
|
Coot (software)
|
360
|
12
|
Start
|
Low
|
461
|
SBML
|
359
|
11
|
B
|
High
|
462
|
Population viability analysis
|
354
|
11
|
C
|
Mid
|
463
|
Metabolic flux analysis
|
354
|
11
|
Stub
|
Low
|
464
|
Eugene Myers
|
352
|
11
|
Start
|
Low
|
465
|
Genome browser
|
351
|
11
|
List
|
High
|
466
|
Jim Kent
|
348
|
11
|
Start
|
Low
|
467
|
FlowJo
|
348
|
11
|
Start
|
Low
|
468
|
Richard M. Durbin
|
346
|
11
|
C
|
Low
|
469
|
Codon Adaptation Index
|
346
|
11
|
Stub
|
Low
|
470
|
Digital phenotyping
|
344
|
11
|
Start
|
Low
|
471
|
PDBsum
|
343
|
11
|
Start
|
Mid
|
472
|
Digital organism
|
342
|
11
|
Stub
|
Low
|
473
|
Russ Altman
|
342
|
11
|
C
|
Mid
|
474
|
Ancestral reconstruction
|
340
|
11
|
B
|
Low
|
475
|
GENESIS (software)
|
338
|
11
|
Start
|
Low
|
476
|
Circular permutation in proteins
|
338
|
11
|
GA
|
Low
|
477
|
Haplotype estimation
|
337
|
11
|
Start
|
Low
|
478
|
Joseph DeRisi
|
335
|
11
|
Start
|
Low
|
479
|
Swiss Institute of Bioinformatics
|
332
|
11
|
Start
|
Low
|
480
|
Hiroaki Kitano
|
330
|
11
|
Start
|
Mid
|
481
|
Crystallography Open Database
|
330
|
11
|
Stub
|
Low
|
482
|
Consensus CDS Project
|
329
|
10
|
C
|
Low
|
483
|
SNPedia
|
325
|
10
|
Start
|
Low
|
484
|
Structural genomics
|
324
|
10
|
Start
|
High
|
485
|
Mouse Genome Informatics
|
323
|
10
|
Stub
|
Low
|
486
|
Cyrus Chothia
|
323
|
10
|
Start
|
Low
|
487
|
Energy charge
|
322
|
10
|
Start
|
Low
|
488
|
FlyBase
|
322
|
10
|
Start
|
Mid
|
489
|
Protein Information Resource
|
321
|
10
|
Start
|
Low
|
490
|
Computational immunology
|
321
|
10
|
B
|
Mid
|
491
|
Epitranscriptome
|
321
|
10
|
B
|
Low
|
492
|
Low complexity regions in proteins
|
320
|
10
|
Start
|
Mid
|
493
|
Analysis of molecular variance
|
318
|
10
|
Stub
|
Low
|
494
|
De novo transcriptome assembly
|
317
|
10
|
C
|
Mid
|
495
|
David Haussler
|
316
|
10
|
C
|
Low
|
496
|
Erez Lieberman Aiden
|
315
|
10
|
GA
|
Low
|
497
|
Protein function prediction
|
315
|
10
|
Start
|
High
|
498
|
Consumer-resource model
|
314
|
10
|
B
|
Unknown
|
499
|
Glycomics
|
313
|
10
|
Start
|
Low
|
500
|
Sequence clustering
|
312
|
10
|
Start
|
Mid
|